Valve plans to update Steam fans on their controller restock plans soon Valveβs Steam Controller went on sale yesterday, and as expected, it quickly sold out worldwide. Today, Valve has confirmed that it is βworking on getting more stockβ, and that it plans to give gamers an update and a restock timeline soon. Scalpers have [β¦]
The post Valve confirms Steam Controller restock plans appeared first on OC3D.
ValveSteam Controller ran out faster than we anticipated, and we hate that not everyone who wanted one was able to get it. We're working on getting more in stock and will have an update on expected timeline soon.
A new report from CNBC reveals that Xbox chief executive officer Asha Sharma is bringing over more of her former CoreAI team to the Xbox side of Microsoft in an overhaul of Xbox's executive team with five new members in total, the fifth coming instead from Sharma's other previous home of Instacart. Part of the move also includes the dismissal of more of the old guard, as one moves to an advisory role, and the other leaves the company. Since Asha Sharma stepped into the role of chief executive officer of Xbox, the former CoreAI president has been establishing what [β¦]
Read full article at https://wccftech.com/xbox-ceo-asha-sharma-adds-more-coreai-execs-shuffles-old-guard/
LG has showcased new OLED technologies at the SID Display Week 2026, but its 3rd-gen Tandem OLED was the main highlight of the show. LG Showcases 3rd Gen Tandem OLED That Targets Efficiency, and a 5K OLED Panel With 221 PPI The LG Display is expanding its OLED stack by introducing new monitors and new panel technologies. At SID Display Week 2026, held in Los Angeles, LG Display showcased the 3rd-generation Tandem OLED technology and a 5K RGB OLED monitor panel. The biggest highlight was the 3rd-gen Tandem OLED that brings meaningful improvements over previous OLED technologies. As per the [β¦]
Read full article at https://wccftech.com/lg-introduces-third-gen-tandem-oled-panel-and-5k-oled-panel/
NVIDIA CEO has said that China should not have access to its most advanced AI chips, such as Blackwell or Rubin. Blackwell or Rubin AI Chips are a no-go for China, but NVIDIA's CEO Wants US Firms To Continue To Compete In Global Markets The US AI policy shift towards China has been ongoing since NVIDIA's Hopper generation of chips. Export controls restricted NVIDIA from selling its bleeding-edge chips to Chinese firms & this ban has extended into the Blackwell generation. Reaffirming the US-first policy, NVIDIA CEO Jensen Huang has stated that the company's most advanced AI chips, Blackwell and [β¦]
Read full article at https://wccftech.com/nvidia-ceo-jensen-huang-draws-a-hard-line-on-china-no-blackwell-no-rubin/
Apple is still a fair distance away from unveiling the 2027-launching iPhone 20. Yet, the iPhone has been the focus of supply chain leaks for quite some time, which is hardly a surprise given the quantum of change that Apple is reportedly bringing to the proverbial table. Now, a well-known tipster has tried to wholly demystify the iPhone 20 by pairing feature leaks with plausible speculation. Apple iPhone 20 to sport an all-glass look, replete with solid-state buttons, a quad-curved display, and hefty use of under-display tech, and topped off with a massive battery The Weibo-based tipster Instant Digital has [β¦]
Read full article at https://wccftech.com/apple-iphone-20-tipped-to-pack-a-6000mah-battery-with-reverse-wireless-charging-dwarfing-every-iphone-apple-has-ever-shipped/
IO Interactive's James Bond licensed game, 007 First Light, is now just three weeks away from its debut. As we got closer to the launch, the developers started revealing new details; now, YouTuber JorRaptor has reported that Gameplay Director Andreas Krogh confirmed the game's average length is around 20 hours. That's without counting theΒ Tactical SimulatorΒ mode (inspired by HITMAN's escalations), which will repurpose main story locations with added difficulty, restrictions, and online leaderboards, with new missions added post-launch. Notably,Β all cosmetic outfitsΒ (including pre-order and special edition ones) areΒ restricted to the Tactical SimulatorΒ and cannot be worn in the main campaign, where Bond's wardrobe [β¦]
Read full article at https://wccftech.com/007-first-light-20-hours-no-new-game-plus-hitman-escalation-mode/
Quantware is building the world's most powerful Quantum processor, and Intel is one of the investors behind it and the company's KiloFab project. Quantware's VIO-4K Quantum Processor Can Drive 10,000 Qubits, 100x More Than Today's State-of-the-Art Quantum Computers Quantware has raised $176 million to build the world's fastest and largest quantum processor to date, the VIO-4K. The company will also be building KiloFab, the largest dedicated quantum open architecture fab, as it anticipates strong customer demand, boosting its production capacity by 20x. In the announcement, Quantware secured new investors, including Intel Capital, In-Q-Tel, and ETF Partners, which are in addition [β¦]
Read full article at https://wccftech.com/intel-invests-in-company-that-is-building-the-worlds-most-powerful-quantum-processor/
Exemplar provides a web and API-based hub for SRE and Day 2 operations by centralizing uptime monitoring, incident management, and self-service automation. It integrates directly with major cloud and productivity platforms to consolidate engineering workflows under a freemium model. It supports cross-platform integrations including AWS, GitHub, Linear, JIRA, and Grafana, and provides built-in SRE tools such as status pages, SSL tracking, and vendor monitoring. The platform offers flexible access through web, MCP, and API platforms.
Woop solves one thing: Search Results. Analyze your website, competitors, and keywords to target what makes your product stand out. It generates actionable insights and executes them.
It has six features: Woop AI Chat, your SEO strategist on call; Deep SEO Analysis with every metric in one view; Site Architecture Map to expose what's invisible; AI Blog Generator structured for Google and readers; Keyword Intelligence to find gaps before your rivals do; and 1-Click Publishing to go live quickly.
Renowide is a marketplace for trained AI agents. There are many AI agents now, and anyone can build one. But most are not helpful if they aren't trained enough or on the right data. So we made a place where developers list agents they have actually trained and earn 85% every time one gets hired. Businesses can hire them and stay compliant with laws like data residency and audit trails. Set a budget, approve proposed actions, and the agent runs 24/7. You can also embed an agent on your site or use one API key to access 200+ agents and 36 MCP tools. Currently, there are 200+ agents listed, 65 active hires, and free credits for early testers.
AI workers for freight broker operations
Chrome on Android users can now choose to share their approximate location with websites, instead of sharing their precise location.Google is partnering with XPRIZE and Range Media Partners on the $3.5 million Future Vision film competition.An overview of how Multi-Token Prediction (MTP) drafters are making Gemma 4 models up to 3x faster at inference.From a complete camera overhaul to updated automations, there are several new updates coming to Google Home.Google celebrates Teacher Appreciation Week 2026 with an essay from the Arkansas Teacher of the Year.Google is rolling out new tools to help advertisers better understand performance across increasingly complex customer journeys.
Whatβs happening. As AI continues to transform campaigns, creatives and targeting, Google is introducing updates focused on data integration, experimentation and media mix modelling β all aimed at helping marketers turn fragmented signals into actionable insights.
Why we care. Automation has made it easier to run campaigns, but harder to understand whatβs actually working. These updates make it easier to connect data, prove whatβs actually driving results, and make smarter budget decisions across channels. As AI handles more of the execution, having strong measurement in place becomes the key differentiator for performance and growth.
Data is the starting point. Google is expanding its Data Manager to give advertisers a clearer view of how their data flows across platforms like BigQuery, HubSpot and Shopify.
A new map-based interface will help marketers visualise connections between data sources and identify gaps in tracking or configuration. At the same time, updates to the Google tag aim to simplify setup, allowing advertisers to upgrade existing tags without additional coding.
The goal: make it easier to unify signals and improve data quality β which directly impacts campaign performance.
Between the lines. Google is acknowledging a long-standing issue β advertisers struggle more with data setup and integration than with campaign execution itself.
By simplifying tagging and data flows, Google is trying to remove one of the biggest blockers to effective AI adoption.
Proving what actually works. Google is also introducing Meridian GeoX, a new geo-experimentation tool designed to measure incremental impact across regions.
Built on an open-source framework, GeoX feeds into Googleβs broader Marketing Mix Model, Meridian, giving advertisers a more defensible way to validate performance β especially when presenting results to finance teams.
This signals a shift toward causal measurement, not just correlation.
Why it matters. As privacy changes reduce visibility and attribution becomes more complex, marketers are under pressure to prove impact. Tools like GeoX aim to provide that βground truthβ β something many attribution models struggle to deliver.
Simplifying media mix modelling. To address the complexity of Marketing Mix Models (MMMs), Google is launching Meridian Studio β a Google Cloud-powered platform that helps teams build, customise and scale models more easily.
The focus is on operationalising MMMs, making them less resource-intensive and more accessible for enterprise teams managing large datasets.
What to watch:
Bottom line. Google is making a strategic shift: in an AI-driven world, better measurement β not just better automation β will determine who wins.
Say goodbye to Windows 11βs unwanted MSN feed Microsoft has announced that it is finally getting rid of Windows 11βs MSN News widget feed. With new Windows Insider builds, the MSN News Widget is gone. Better still, the Widget feed will only open when clicked, preventing it from opening on mere mouse hover. Yes, accidental [β¦]
The post Microsoft is finally axing Windows 11βs MSN feed from widgets appeared first on OC3D.
Yesterday, Valve launched its Steam Controller (2026), the follow-up to its 2015 predecessor and an improvement based on the years of learning Valve took from developing that first controller, to the Steam Deck, and now this latest gamepad. The launch went about as well as you would hope if you're Valve. The 'Buy Now' button went live on Steam, the gamepad shot up to the top of the best-selling charts, and it sold out within minutes. The unfortunate part of that last bit was that it seems Valve wasn't fully prepared for a complete sell-out of the device. In an [β¦]
Read full article at https://wccftech.com/valve-steam-controllers-stock-update/
After Season 2 of the best-selling game in 2025 was delayed, causing a great deal of strife within the game's community, EA and Battlefield Studios aren't allowing for the same gap between Season 2 and Season 3 of Battlefield 6. The new season will arrive next week on May 12, 2026, and the studios just debuted our first look at the new season and a tease at what will be the largest map in the game when it arrives with the return of the Railway to Golmud. Season 2 arrived back on February 17, making it a more reasonable 12-week [β¦]
Read full article at https://wccftech.com/battlefield-6-season-3-gameplay-trailer-debut/
The growth in agentic AI software will lead to high demand for CPUs in the AI era, believes investment bank UBS. In an investment note, the bank explains that agentic AI increases the workload for processors. It adds that this workload typically favors firms that offer chips with higher cores and are able to cater to power efficiency. As a result, UBS outlines that in the era of agentic AI workloads, chips from Arm and then AMD are slated to benefit the most, with Intel also benefiting as the total addressable market (TAM) grows. Agentic AI Workloads To Favor CPUs [β¦]
Read full article at https://wccftech.com/arm-and-amd-poised-to-eat-intels-lunch-in-agentic-ai-era-analyst-warns-as-core-counts-could-jump-5x-per-gpu/
Although an official announcement has yet to be made, leaks from multiple reliable sources have made it clear that the PlayStation 6 will launch alongside a handheld system that should be more than capable of running current and next-generation games. However, much like the Xbox Series S did with the Xbox Series X and possibly the entirety of the current console generation, there is the real possibility this portable system could hold back the home console, especially with mandatory support. According to known leaker Moore's Law is Dead, who first leaked the specs for Sony's next-generation systems, the chances of [β¦]
Read full article at https://wccftech.com/playstation-6-wont-be-limited-by-handheld-xbox-series-s-fashion/
NVIDIA has expanded its RTX & AI feature set with more capabilities provided to developers for integration within their latest apps, including games. NVIDIA Bets Big on Its "AI PC" Ecosystem With RTX GPUs, Provides Devs With New & Improved Tool Sets The NVIDIA RTX and AI PC technologies are one of the industry's most advanced tool sets offered to developers. These tools make integration of the latest features and capabilities in apps & games easier than ever. Today, NVIDIA has announced more integrations that help developers create next-gen experiences. Last month, NVIDIA rolled out its DLSS 4.5 SDK, allowing [β¦]
Read full article at https://wccftech.com/nvidia-gives-devs-more-tools-to-integrate-rtx-ai-features/
Xbox has unveiled the first batch of Xbox Game Pass games that'll hit the service in May 2026, with two of 2026's biggest releases set to arrive on day one for Game Pass Ultimate subscribers. Those games are, of course,Forza Horizon 6 and Subnautica 2, as one of the most anticipated first-party Xbox Game Studios' game releases and the most wishlisted game on Steam pair up on the same subscription service. They aren't the only two games entering the service in the first half of May, of course. An additional seven games are joining the service, with five out of [β¦]
Read full article at https://wccftech.com/xbox-game-pass-games-may-2026-forza-horizon-6-subnautica-2/
Micron has just released the highest capacity and commercially available SSD to date, its 6600 ION, with a capacity of 245 TB. You Can Practically Fit Anything You Want on Micron's 245 TB "6600 ION" SSD, but These Still Aren't Enough For Data Centers Press Release: Micron Technology, Inc. (Nasdaq: MU), today announced it is now shipping the 245TB capacity MicronΒ 6600 ION SSD, the worldβs highest capacity commercially available SSD. The drive marks a major step forward in rack-scale storage density for data centers and is designed to support AI, cloud, enterprise, and hyperscale workloads, including next-generation AI data lakes [β¦]
Read full article at https://wccftech.com/micron-6600-ion-ssd-the-worlds-highest-storage-capacity-245-tb/
Funcom has released a massive free update for Conan Exiles players with Conan Exiles Enhanced, a new update that overhauls the game and brings it to Unreal Engine 5. Announced last month, the update introduces UE5's Lumen Global Illumination lighting system, nanite geometry, virtual shadow maps, and an improved terrain for a significant visual overhaul. It's an update that is meant to celebrate the popular survival game as it nears its eight-year anniversary on May 8, 2026, though it's not a celebration for all of the 15 million+ players who've stepped into the Exiled Lands and the Isle of Siptah [β¦]
Read full article at https://wccftech.com/conan-exiles-enhanced-massive-ue5-overhaul-out-now-for-free-on-steam/
007 First Light is launching on PC, PlayStation 5, and Xbox Series X|S later this month, but Nintendo Switch 2 users will have to wait a little longer to experience James Bond's new gaming adventure. While the lack of a solid release window beyond a generic Summer has some worried the game has only been delayed to be canceled, IO Interactive CEO Hakan Abrak confirmed this won't be the case. βItβs running on the Switch 2. We just want to make sure itβs good as it can be. I donβt want to hear it wasnβt a good version,β Abrak said [β¦]
Read full article at https://wccftech.com/007-first-light-won-t-pull-borderlands-4-switch-2/
Intel has placed a massive order at Taiwanese manufacturers to secure advanced packaging equipment, which will be used for its EMIB plans. Intel Bets Big on EMIB, As The Company Has Placed A Huge Order To Secure Advanced Packaging Equipment From Taiwan EMIB, the advanced packaging solution and alternative to TSMC's CoWoS, has been making headlines for some time now. The packaging technology is gaining lots of momentum as potential customers line up to utilize the tech for their upcoming chips, mainly for AI purposes. This demand has now led Intel to go after Taiwanese manufacturers to secure the equipment [β¦]
Read full article at https://wccftech.com/intel-places-huge-advanced-packaging-equipment-order-signaling-huge-emib-interest/
Qria is a customer feedback tool for small businesses. You can build a form in minutes and share a QR code at your counter, invoice, or anywhere your customers see it. Get responses in real time.
You get a full dashboard with trends and graphs, an AI layer that reads across responses and surfaces plain-language summaries, and a robust filtering system to help you make sense of the noise. It also pulls in your public reviews from Google Maps, Trustpilot, and TripAdvisor. Built for cafes, hotels, tradespeople, retail, and more. 30-day free trial.
Initial reports from SimilarWeb indicate ChatGPT ads are outperforming traditional benchmarks on engagement β but with limited inventory and small-scale tests, itβs too early to call this a long-term trend.
Whatβs happening. According to early analysis, ads appearing in ChatGPT conversations are generating strong click-through rates vs Display and Podcast channels, likely driven by high-intent user queries and the native way ads are integrated into responses.
Unlike traditional search ads, these placements appear directly within conversational answers, making them feel more contextual and less disruptive.
Why we care . If these early CTRs hold at scale, ChatGPT could become a serious performance channel β especially for advertisers looking to reach users at the moment of intent.
But thereβs a catch: inventory is still limited, and early performance often looks better before wider rollout introduces more competition and variability.
Between the lines. High CTRs donβt necessarily mean high performance. Conversion quality, cost efficiency and scalability will ultimately determine whether ChatGPT ads can compete with established platforms like Google Ads.
Thereβs also the novelty factor β users may be more likely to engage simply because the format is new.
Zoom in. Some categories are already showing stronger signals than others.
Motherβs Day-related prompts are far more likely to trigger adsβabout three times more than averageβbecause they signal strong purchase intent, with brands like Etsy, Nordstrom and flower retailers already showing strong visibility.
What to watch:
Bottom line. ChatGPT ads are off to a strong start on engagement β but until scale, cost and conversion data catch up, advertisers should treat this as a promising test channel, not a proven one.
Dig deeper. Advertising in AI: Insights from Real User Behavior
The AI engine pipeline has 10 gates between your content and a recommendation:Β
Confidence at each gate multiplies, which means your worst gate sets your ceiling, and a single near-zero anywhere in the chain drags the whole result down with it.
That dynamic leads to a simple rule. The βStraight Cβ principle: in any multiplicative system, the weakest stage sets the ceiling for the entire system, and the highest-leverage fix is always the near-zero, not the near-perfect.
Brent D. Payne nailed it in Sydney in 2019: βbetter to be a straight C student than three As and an F.β Gary Illyes had been sketching out Googleβs multiplicative ranking model, and I scribbled the lot from memory on split beer mats while everyone else went to the bar for another round. The principle stuck with me even though the beer mats didnβt.
Applied to the 10-gate pipeline, the principle makes the work order obvious: find your F grades, fix them first, then find your D grades, and only then worry about pushing your other gates from C to B to A. Below, Iβll walk you through how to identify the weak gates and prioritize them by scope.
Phase 1 (discovered through indexed) is infrastructure- and bot-centric. Itβs mostly pass or fail: either the system has your content, or it doesnβt. The fixes are technical and well-documented: sitemaps, structured data, rendering, and quality signals.
Phase 2 (annotated through won) is competitive and algorithm-centric. Your content is measured against every alternative the system has for the userβs needs.
Passing all five gates in Phase 1 means the system has your content in stock. Winning Phase 2 end to end means the system chooses you over your competition.
Fix whatβs weak. In DSCRI, the fixes are mechanical, and success is relatively easy to measure.Β
In ARGDW, the fixes are less obvious, more indirect, and the cause-and-effect relationship is harder to demonstrate. Thatβs why so many brands and practitioners focus too much on mechanical fixes and not enough on competitive ones.
Each of the 10 gates is a place where the pipeline can stall. These are some suggestions, absolutely not exhaustive: use the strategies you already know, too.
| No. | Gate name | Stall | First-party (Entity Home Website) | Second-party (semi-controlled) | Third-party (independent) |
| 1 | Discovered | Bots never find the content | Sitemaps, IndexNow, internal linking, and inbound links | Link from your Entity Home Website with clear anchor text | Outbound links from owned properties and second-party content |
| 2 | Selected | Found but ignored | Internal links, inbound links, anchor text, content around links, and Publisher and Author N-E-E-A-T-T | Anchor text, content around the link, and link back to your Entity Home for context | Outbound links from owned properties and second-party content, anchor text, and content around the link |
| 3 | Crawled | Retrieval fails | Server performance, redirect chains, pruning, and canonicals | Choose reliable platforms; keep URLs clean and stable | Prioritize coverage on sites with strong crawl reputation |
| 4 | Rendered | Retrieved, but the system canβt process it | Server-side rendering, reduce external resources, and JavaScript discipline | Use platform-native formatting; avoid embeds that block render | Prioritize coverage on properly rendered sites |
| 5 | Indexed | Rendered, but not stored | Site structure, content quality, pruning, and canonicalization | Content quality and original perspectives | Prioritize coverage on fully indexed sites |
| 6 | Annotated | Inaccurate, low-confidence annotations | HTML5, structured data, schema markup, site structure, content quality, and unambiguous entity signals | Unambiguous entity signals, and link to your Entity Home for disambiguation | Outreach to clarify entity references, clear anchor text from your owned properties and second-party content |
| 7 | Recruited | Missing from one or more layers of the Algorithmic Trinity | Provide what each layer wants: recency, originality, clarity, information gaps, helpful framing, etc. | Fresh perspectives, original content, and regular updates | Outreach for coverage and updates from news, trade, and industry sites |
| 8 | Grounded | Not selected as a reference for the topic (not Top of Algorithmic Mind) | Entity identity optimization, Publisher and Author N-E-E-A-T-T, and explicitly connect claims to proof | Consistency of identity, credibility signals, and link claims to proof | Outreach for citations from authoritative sources, and build N-E-E-A-T-T through coverage |
| 9 | Displayed | Not chosen as part of relevant answers in the funnel | Close the Framing Gap at each UCD layer, improve brand N-E-E-A-T-T | Frame content to match each UCD layer | Outreach for coverage that closes the Framing Gap, improve N-E-E-A-T-T through external corroboration |
| 10 | Won | The page was the recommendation, but didnβt get the click, the citation, or the action | Write copy, titles, and descriptions that are easy for the algorithm to extract intact; frame claims so the algorithm can respect the brand narrative without rewriting it; educate the algorithm on the brand narrative so it doesnβt distort it | Use platform fields the algorithm will lift verbatim (titles, summaries, intros), and keep brand narrative consistent across every property | Brief publishers and partners on your brand narrative so coverage frames claims the way youβd frame them yourself, and correct distorted coverage at source |
Reading the table: Across the rows, infrastructure fixes (Gates 1 to 5) are specific, technical, and often binary, while competitive fixes (Gates 6 to 9) point at larger bodies of work (graph presence, proof connection, and framing gap closure) that are strategic rather than technical.Β
Down the columns, your direct leverage drops as ownership drops:
The further into the pipeline the stall sits, and the further from the entity home website it sits, the more the fix becomes about positioning rather than engineering.Β
You can buy your way through DSCRI. You have to earn your way through ARGD. Won is its own case. By the time the algorithm reaches won, it has either understood your brand narrative or it hasnβt.Β
If it has, it respects your titles, your descriptions, and your framing, and the click or citation lands the way you wanted. If it hasnβt understood you fully, it rewrites you, and the rewrite wonβt be your framing. Assuming your copywriting is top-notch, thatβll lose clients you should have won.
Educating the algorithm on the brand narrative is the work that decides which of those two outcomes you get, and the work happens across your digital footprint, over time (ongoing), and at every gate.
The pipeline runs at three scopes simultaneously β per item, sitewide, and web wide. Every gate operates at all three. You canβt work on them simultaneously, which means the order you pick is the single biggest decision in the project, and most brands pick the wrong one because theyβre watching their competitors instead of the structure.
Hereβs a simple fact most brands miss: most of what you need is already in place.Β
The two layers exist, theyβre just not connected. Joining the dots between existing claims and existing proof is the biggest single piece of leverage available to almost any brand.Β
Almost nobody is doing it systematically because theyβre too busy creating new content from scratch. When I say βjoin the dots,β that means both bi-directional linking and framing (which I covered in βThe framing gap: Why AI canβt position your brandβ).
That insight reorders the work. The right sequence is outside-in, and it lines up with claim, prove, and frame at the scope level.
Get your claims structurally consistent at scale. Templates make it easy for bots to digest your site only if theyβre consistent. Get the templates right, and the content taken as a whole reads clearly.Β
Make sure the categorization is logical, the schema is uniform, the internal linking pattern is predictable, and the HTML5 is built to help bots perform chunking that produces high-confidence, well-bounded representations of every part of every page.Β
Get the templates wrong, and the algorithms annotate everything with low confidence because the chunking was bad, the categorization was illogical, and the structural signals contradicted each other. Thatβs a sitewide weakness that the content carries through. This is cascading confidence at scope level.
Content is the input, context is what the templates supply, and confidence is what the system produces when context is consistent enough to make sense of the content. Start at the site level because thatβs where the cascade either begins clean or collapses before it starts.
Dig deeper: The funnel flip: Why AI forces a bottom-up acquisition strategy
Connect the dots to the existing proof. Once your owned property is making consistent, machine-legible claims, the second- and third-party footprint is where those claims get corroborated.Β
The work here is mostly auditing, not creating: independent journalists whoβve already covered you, client testimonials sitting on client domains, conference programs that name you, partner mentions, and third-party reviews that already exist.Β
This is the prove layer, and the leverage is enormous because your competitors are mostly not doing it. Theyβre watching each otherβs websites while the independent layer that actually decides who AI recommends sits unattended on the open web. So, update what you can, and insert bi-directional links strategically to βconnect the dots physically.β
Frame the connection between claim and proof. Once sitewide claims are clean and web-wide proof is surfaced, itβs time to bring it all together in individual items.Β
Per-item work builds the relational bridge between specific claims and the evidence. Itβs up to you to provide the interpretive frame that tells the algorithms how to read the connection and closes the framing gap one page at a time.Β
Framing only earns its full return once the two layers underneath are solid, because the frame is the connection between things that already exist, and thereβs nothing to connect if the claim is incoherent or the proof hasnβt been surfaced.
The pipeline is sequential. Each gateβs output is the next gateβs input.Β
First job: get content flowing through every gate without an absolute fail at any point. If discovery is broken, improving your annotation does nothing because your content never reaches annotation.Β
The rule is simple: find your earliest failing gate, fix it, then re-measure everything downstream on the improved signal. Fixing gates out of order wastes budget because the bottleneck hasnβt moved. I filed a patent for the technical implementation of this principle, but the principle itself doesnβt need the patent β itβs how any sequential system works.
Once nothing is absolutely failing, start fixing the weakest gates one by one, from weakest to strongest, to maximize the effect of each fix on the signal that flows through everything downstream.Β
If rendering drops 50% of your useful content, every downstream gate inherits the damage, no matter how strong your competitive positioning is. Push that up to 100%, and youβve doubled the signal for everything that follows.
Below are potential stalls at each gate (single page) with examples of fixes.
| No. | Stall | Problem | Possible fix |
| 1 | Not Discovered | Orphaned article about your brand on Poodle Parlours in Paris Monthly | Create a dedicated page on poodleparlour.paris with a TL;DR of the article (use the opportunity to close the Framing Gap), add the publication name, author, date, and an outbound link to the article |
| 2 | Not Selected | The 600th episode of your podcast on your website is ignored by bots despite a link from the pagination | Link to it from the homepage, make the anchor text explicit (not βlisten hereβ), and add the link to the YouTube version description |
| 3 | Not Crawled | Page load time is slow at peak times | Upgrade hosting and use a CDN |
| 4 | Not Rendered | Schema isnβt being ingested by the LLM bots | Move schema inline, or, if that isnβt possible, add the same data to an HTML table on the page |
| 5 | Not Indexed | Rendered, but not stored | Site structure, content quality, HTML5, and schema markup |
| 6 | Badly Annotated | Inaccurate, low-confidence annotations | HTML5, structured data, schema markup, site structure, content quality, and unambiguous entity signals |
| 7 | Not Recruited | Missing from one or more layers of the Algorithmic Trinity | Provide what each layer wants: recency, originality, clarity, information gaps, helpful framing, etc. |
| 8 | Not Grounded | Not selected as a reference for the topics (not Top of Algorithmic Mind) | Entity identity optimization, Publisher and Author N-E-E-A-T-T, and explicitly connect claims to proof |
| 9 | Not Displayed | Not chosen as part of relevant answers in the funnel | Close the Framing Gap at each funnel layer (Understandability, Credibility, Deliverability), and improve brand N-E-E-A-T-T |
| 10 | Not Won | The page was the recommendation, but the algorithm rewrote your title and description | Improve brand Understandability of the brand narrative and framing, tighten the title, description, and intro so the algorithm extracts your version intact rather than rewriting it; these remain the most visible elements at the zero-sum moment in AI |
Reading the table: gate-by-gate example issues at item level. I provide some suggested solutions for each. Youβll see that many of the fixes are actions youβd take at sitewide or web-wide scope, which is the point.Β
Scope determines whether the fix touches one URL or thousands, but the underlying mechanism at each gate is identical. Per-item work is where the fixes get specific, but the patterns repeat.
One strategy will improve your grade at almost every gate in the AI engine pipeline: entity optimization.Β
When your brand entity is fuzzy across the three graphs (document, concept, and entity), actively optimizing the entity identity improves clarity, focus, and confidence at almost every gate.
But the advantage youβll gain isnβt uniform: at the infrastructure gates it does little, but from annotation onward, it will make a huge competitive difference.
Hereβs the authoritative entity advantage at each pipeline gate.
| No. | Stall | The authoritative entity advantage |
| 1 | Not discovered | Marginal. A recognized entity in an outbound link from a third party is slightly easier to identify and trace, but discovery itself is infrastructure-driven. |
| 2 | Not selected | Significant. A recognized, trusted entity in anchor text (or near the link) increases the probability of selection. |
| 3 | Not crawled | None. Crawling is purely server, redirect, and rate-limit mechanics. |
| 4 | Not rendered | None. Rendering is purely technical processing. |
| 5 | Not indexed | Moderate. Entity clarity helps the system make canonicalization and deduplication calls with confidence; fuzzy entities produce fuzzy storage decisions. |
| 6 | Badly annotated | Major. Entity confidence is the foundation of accurate annotation. A fuzzy entity produces low-confidence, often inaccurate annotations across every dimension. A clear entity produces clean, high-confidence annotations. |
| 7 | Not recruited | Major. Recruitment into the entity graph, document graph, and concept graph is entity-driven. Clear entities get recruited β fuzzy ones get passed over for clearer alternatives. |
| 8 | Not grounded | Major. Top of algorithmic mind is entity-driven: topical ownership, N-E-E-A-T-T, knowledge graph presence, and more. The system grounds in references it trusts. |
| 9 | Not displayed | Significant. Entity recognition reduces hedging at display. The system speaks confidently about entities it understands well and hedges on the ones it doesnβt. |
| 10 | Not won | Major. Entity confidence decides whether the algorithm respects your brand narrative or rewrites it. High confidence means titles, descriptions, and framings get extracted intact. Low confidence means the algorithm fills in the gaps from training data, and that wonβt be the narrative you carefully crafted. |
Reading the table: entity advantage is zero or marginal at Gates 1 to 5 (infrastructure), then carries the heaviest load through Gates 6 to 9 (the competitive phase). At won, itβs the mechanism that decides whether the algorithm respects your brand narrative or rewrites it.
This is the most underrated insight in the whole diagnostic. Optimizing any single gate gives you one gateβs worth of improvement. Optimizing the entity gives you compounding improvement across all five gates from annotated through won, which is why entity-led optimization outperforms page-led or keyword-led optimization in AI search.
The authoritative entity advantage names that compounding effect, and itβs the structural reason brands whose entities remain fuzzy pay a confidence tax at every competitive gate.
Once you know which gate is failing, the first question to ask yourself isnβt βwhat do I need to create?β Itβs βwhat do I already have that would fix this?βΒ
The content on your website already makes most of the claims you need, but they are not presented clearly and consistently. Then, all brands have more existing proof than theyβre fully leveraging.
Look at things like conference programs, client case studies, trade publications, podcasts, social media, reviews, and third-party mentions. There might be a lot that you have never explicitly connected back to your brand.
Audit-first beats create-first on every metric that matters. Audit-first is cheap and fast. Create-first is expensive and slow.
The diagnostic tells you which gate needs the work, the audit tells you what you already own that could do the work, and the audit also tells you where the genuine gaps are, so when you do create something new, youβre filling a gap the diagnostic identified rather than guessing.
That principle drives the temporal triad: ROPI, ROI, ROFI.
At my company, we plant seeds constantly: claims and framings published now that arenβt doing visible work today but will be the corroborated proof weβll need when the next phase of our long-term strategy rolls out. The brand that runs ROFI consistently is shaping the frame against which competitors will be measured in the future.
Because youβre educating and training the algorithms, ROFI actually influences the criteria by which the market will judge you in your favor.
Three time horizons for your content (wherever it lives online): ROPI extracts value from what youβve already built, ROI improves the present, and ROFI engineers the future.
The 10 gates describe what search engines, assistive engines, and assistive agents actually do, in order, every time they decide whether to recommend you.Β
Crawl, index, rank was the right model for a 1998 search engine. It hasnβt been the right model for a long time. The brands that are still optimizing for three steps when the systems run on 10 are optimizing for a model that the engines donβt use.
This isnβt my framework. Itβs the enginesβ framework.
The engines donβt care what you find easy to measure, fun to do, or impressive at the next conference. They care whether your content survives all 10 gates with high confidence at each, and they reward the brands that build for the gates with citations, recommendations, and the actions that follow.
So treat and run it like a system. Fix your F grades first and your D grades next. Work outside-in because thatβs where the leverage already lives, and watch the rest compound on top of work youβve barely had to pay for.Β
Follow the system, and AI search pays you back, year on year, engine after engine, long past the lifespan of any acronym fashion.
Valveβs Steam Controller has been targeted by Scalpers Valveβs Steam Controller was released yesterday, and it didnβt take long for it to sell out worldwide. To the surprise of no one, the controller has started popping up on eBay, with sellers trying to take advantage of Valveβs limited stock of its new PC-optimised gamepad. Scaplers [β¦]
The post Scalpers target Valveβs Steam Controller β Sells out in minutes appeared first on OC3D.
Apex Legendsβ Overclocked update includes performance fixes for AMDβs Ryzen X3D CPUs Respawn Entertainment has confirmed that fast CPUs are causing stutters in Apex Legends, with AMDβs Ryzen X3D CPUs particularly prone to this issue. With the gameβs newly released βOverclockedβ update, improvements have been made to Apex Legendsβ physics calculations to prevent these issues [β¦]
The post Apex Legends patched because AMD Ryzen X3D CPUs were fast enough to break the game appeared first on OC3D.
Guerrilla Games' upcoming multiplayer spin-off of its mainline open-world Horizon series, Horizon Hunters Gathering, is set to have its second closed beta playtest later this month, from May 22-25, 2026. The closed playtest adds two new characters for players to try out, a new story mission from the game's narrative, a new region to explore, and an increased challenge with more difficult missions and changes to one of its core game modes. The game's first closed playtest, which, just like this upcoming one, you'll need an invite to participate in, took place at the cross between February and March of [β¦]
Read full article at https://wccftech.com/horizon-hunters-gathering-closed-beta-playtest-may-2026/
Teamgroup has released its latest Elite DDR5 memory modules featuring high speeds of up to 8000 MT/s, which are ready for next-gen platforms. Next-Gen Platforms Will Support Some Crazy High-Speed DDR5 Memory & Teamgroup Is Ready With Its Elite Series Offering Up To 8000 MT/s Transfer Rates Press Release: Global memory leader Team Group Inc. continues to advance product performance with the introduction of new high-frequency specifications for its ELITE PLUS DDR5 and ELITE DDR5 desktop memory modules. Both products deliver speeds of up to 8000 MT/s and operate at 1.1V with CL56-56-56-128 timings, fully compliant with JEDEC standards. Designed [β¦]
Read full article at https://wccftech.com/teamgroup-elite-ddr5-8000-mtps-1-1v-jedec-compliant-speed-mainstream-memory/
Intel has accelerated its PC roadmap, with several chips including Nova Lake, Razor Lake, Titan Lake & Moon Lake on track to tackle AMD. Intel To Offer Four PC CPU Families In The Next Two Years As It Positions Its Lineup To Compete Aggressively Against AMD, Apple & Qualcomm Chipzilla is going aggressive not only on the Foundry front, but also in its PC business as it remains on track to offer four diverse chip families in the next two years. This shows heightened confidence at Intel as its PC platform execution not just accelerates, but also gets back on [β¦]
Read full article at https://wccftech.com/intel-pc-platform-roadmap-on-track-to-tackle-amd-nova-lake-razor-lake-titan-lake-moon-lake-cpus/
The AI boom has resulted in TSMC battling to increase its manufacturing capacity for clients to fulfill 3nm chip orders, leaving a massive opportunity for Samsung to capitalize on. However, even though the Korean giant has made strides in bringing its 2nm GAA technology to U.S. soilΒ in the form of its Taylor plant, its reliability in manufacturing higher volume at stable yields remains in question. While there have been talks of Samsung becoming a viable alternative to TSMC, companies like Tesla and Qualcomm are only considering a dual-sourcing strategy because they now have a backup option to a foundry that [β¦]
Read full article at https://wccftech.com/samsung-yet-to-prove-is-reliability-against-tsmc-only-seen-as-a-backup-option/
GammaFlip provides live gamma exposure charts and heatmaps for BTC, ETH, SOL, and XRP, helping traders see dealer hedging pressure and identify key volatility zones. The web app auto-plots gamma flip levels, shows 10 structural price markers, and lets you replay full GEX history with OHLC overlays. Data updates every ~60 seconds from Deribit, Bybit, and OKX. Premium unlocks dashboard, heatmap, and Time Machine, while Pro adds a REST API for bots and research.
Cuukbuuk lets you create your own recipes with AI. Describe what you want to eat or list ingredients you have to get a tailored recipe. You can ask for vegetarian, budget-friendly, or other variations. Upload photos to turn snapshots into editable recipes. Ask the AI to adjust portions or flavors, keeping ingredients and instructions in sync. Save recipes to your personal library, translate them into other languages, and share them with family and friends.
AI adoption operating system for companies
Google previews Meridian GeoX, Meridian Studio, Data Manager updates, and visual Google tag setup ahead of Google Marketing Live.
The post Google Previews Meridian GeoX, Data Manager Measurement Updates appeared first on Search Engine Journal.
To move at the speed of AI, simplify your data and understand whatβs driving growth. Learn more in the lead-up to Google Marketing Live.Google is trying a new method of bot authentication named Web Bot Auth. Google posted a new help document that explains that Web Bot Auth is a βnew cryptographic protocol that helps websites to validate that bots are authentic.β
The goal of Web Bot Auth is to help you automate the process of authenticating which AI Agent bots are authentic and which are fraud.
Limited test. Google said the search compan is βtesting the protocol with some AI agents hosted on Google infrastructure.β Not all Google user agents are using Web Bot Auth and Google is not yet signing every request of agents using the protocol.
Thus Google recommends that in addition to Web Bot Auth you continue relying onΒ IP addresses, reverse DNS, and user-agent stringsΒ as Google gradually rolls out signed traffic.
What is Web Bot Auth. Google defined Web Bot Auth as βWeb Bot Auth is an experimental cryptographic protocol used to authenticate requests sent by bots. Instead of relying solely on self-reported headers and IP addresses, Web Bot Auth allows agents to cryptographically sign their requests.β
Web Bot Auth can bring the following benefits according to Google:
Why we care. As AI Agents become more and more common across the web, managing which Agents can access your site and web pages may become more and more of a challenge. This new method of authentication may help you allow authentic AI Agents and block the inauthentic AI Agents.
Again, this is an βexperimentalβ feature right now, so keep track of its progress.
One of the major reasons PPC practitioners hold onto syntax-oriented keyword strategies is the disconnect between βquery intentβ and βconversion intent.β For years, youβve likely relied on keywords to show you understand what your customers want and to prequalify traffic using syntax-oriented signals.
As user behavior shifts to more conversational queries and AI becomes an increasingly relevant part of the user journey, the distinction between these two intents becomes even more critical to understand and act on.
Here, weβll define query and conversion intent and explore strategies to apply them effectively. This isnβt prescriptive. You should make decisions based on what will serve your business well. However, it provides a framework for analyzing your data and optimizing for the right humans.
Disclosure: Iβm a Microsoft employee, and Iβll be sharing some examples that pull from Microsoft tooling. However, most of the strategies reflect platform-agnostic approaches.
Query intent is the underlying need driving the text put into a search function. This search function can be on a SERP (search engine results page), video/social/gaming/email/site search bar, or AI surface.
Conversion intent is the human need to achieve some outcome, understood through stated and inferred data points. These range from text entered in various search experiences, content consumed, and tracked actions taken.
Different examples of query and conversion intent will have higher or lower rates of confidence based on how explicit text is, as well as patterns in content consumed.
For example, if I search βMicrosoft ads login,β both query and conversion intent are clear β I want to log in. Itβs easy to match ads and organic content to that query. Videos shown in any video query would have to do with logging in, and emails would be focused around login information.
Google SERP
Bingβs SERP
YouTube results
The query βMicrosoft adsβ is more nebulous, as such, needs to draw from other signals like previously engaged content and search history. While I might get a login page, Iβd likely also see blog/sales content, third-party advice on Microsoft ads, and potentially competitor info trying to capitalize on the general nature of the query.
Google SERP
Bing SERP
YouTube results
Letβs look at a non-branded example as well. βPurple hair dyeβ has a clear transactional intent. While the user might not have a brand in mind, they know they want a specific color.Β
We donβt know if the user is looking for a semi-permanent or permanent color. We also donβt know the userβs pronouns, so matching them to a specific demographic to entice a purchase is a gamble.Β
Google SERP
Bing SERP
YouTube results
In the query βpurple hair dye for long wavy hair,β the transactional intent is maintained. However, the query focuses more on the core needs of the person behind the text. Long, wavy hair means there needs to be enough dye to cover long hair.
Additionally, while some men have long wavy hair, the person behind the query is more likely to identify as female.Β
Wavy hair has a different composition than straight or curly hair, so products specifically for wavy hair will be more relevant than those without hair type identifiers.
Google SERP
Bing SERP
YouTube results
In all of these examples, there was clear conversion intent. The human behind the query clearly wanted to achieve something. However, if we relied only on the text (i.e., query intent), we might miss a meaningful opportunity to connect with customers.Β
This is why close variants (which have been available on both Google and Microsoft for ~10 years) represent a useful way to unshackle ourselves from syntax alone.
Additionally, by limiting our understanding of queries to SERPs, we ignore critical insights from where our customers connect, work, and play. Microsoftβs internal data from March 2024 shows that brands that use both Audience ads (display, native, and video) and Search see a 6x conversion rate. Part of this is brand recognition, and the power of brand media buys influencing performance.
Yet thereβs also the pragmatic piece that some marketers refuse to engage with video and social. By being where your competitors refuse to be, you can shape and capture desire while they fight over a shrinking share of voice.
Once you understand the difference between query and conversion intent, you can begin mapping out the actions needed to capitalize on both.
Conversion intent is much easier to understand than query intent. This is why AI systems typically run queries in the background to understand human input and get at the conversion intent behind the query.Β
To succeed at shaping queries and capturing conversions, itβs critical to understand the input points for humans and the AI systems that will be serving them results.
Letβs revisit the βpurple hair dye for long wavy hairβ query:
Copilot surfaces how it arrived at the output by looking up information and finding the best matches. This is similar to the SEO concept of E-E-A-T.
Yet youβll notice that the results for my personal Copilot are different than the traditional SERP (chiefly that ads arenβt the dominant result β ads serve at the bottom of clearly transactional conversations after organic listings).
This is where the βDetailsβ function comes into play and can help you know where to focus content, feed, and messaging functions:
This product is pretty flat on price, save for some deep summer dips. If Iβm desperate for color, I might buy now, or I might wait for what seems like a regular summer sale. Iβm also getting insights into why this product is wonderful (hair conditioning, cruelty-free, vibrant, and customizable color, etc.).
These are things Iβve shown interest in through past purchases, conversations with Copilot, and other signals it has access to.
Brands that want to optimize for query intent need to make sure the following are in good order:
Conversion intent is more straightforward, though debatably harder because it requires more creative and critical thinking:Β
Ultimately, both query and conversion intent need brand and performance marketing to be successful, and itβs critical to understand how the success metrics manifest.
For a long time, brand and performance marketing were treated as separate motions, with separate owners, budgets, and success metrics.Β
That separation made sense when channels, measurement, and user journeys were cleaner than they are today. Itβs much harder to maintain in an environment where AI systems infer intent continuously and across surfaces.Β
A user doesnβt experience brand and performance as separate. They experience confidence, familiarity, relevance, and ease. Those signals are created over time through exposure, engagement, and trust, and they often determine whether conversion intent ever materializes, regardless of how βhigh intentβ a query might appear on its own.
From a metrics perspective, this convergence is clear. Brand-oriented activity influences performance outcomes even when it isnβt the final touch. Exposure to display, native, or video doesnβt always produce an immediate click, but it changes how humans and systems interpret future behavior.Β
When someone later performs a search, engages with an AI assistant, or compares options on a marketplace, prior brand interactions act as accelerators. They reduce hesitation, shorten decision cycles, and increase the likelihood that a conversion signal will be credited downstream.
From a strategy standpoint, this means brand work should no longer be evaluated solely on isolated upper-funnel KPIs, and Performance work canβt be evaluated purely on last-click efficiency.Β
Audience-based formats, contextual placements, and visual storytelling directly shape conversion intent by shaping preferences and expectations before a query even occurs. Search and shopping formats then serve as capture mechanisms, translating that latent intent into action.
This is particularly relevant in AI-assisted experiences, where systems synthesize multiple inputs before presenting options or recommendations. Content, feeds, reviews, images, and historical engagement all influence how brands are represented and when they appear.
In these environments, strong brand signals donβt compete with performance outcomes. They enable them by making the brand easier to understand, trust, and choose.
Brand and performance donβt need to use the same tactics, but they must be planned together. Measurement frameworks should account for assistive value, not just final interactions.
Creative strategies should recognize that inspiration and conversion often happen at different moments. Optimization should focus less on forcing intent into rigid buckets and more on supporting the full decision journey.
When we recognize that query intent and conversion intent are related but not identical, the convergence of brand and performance becomes less a philosophical debate and more an operational necessity.
Success comes from designing systems that reflect how humans actually decide, not just how they type.
Key takeaways
In February 2025, the world watched as a small group of humanoid robots took the stage at the CCTV Chinese New Year show for the very first time. It was a charming performance, even if the steps were shaky and the movements were mostly limited to the arms.
Just one year later, at the Spring Festival Gala, the shaky steps were gone and the humanoid robots were able to actually run and do standing somersaults and full kung fu routines with swords and nunchaku. The message was clear: in just one year, we have witnessed a decadeβs worth of advancement.
The 10-year leap in technology is real and not limited to robotics. Which raises a critical question for every digital marketer eyeing the worldβs largest web population: How has search in China progressed in recent years?
The answer is that weβre witnessing the first, calculated tremors of a massive shift. AI models have not yet replaced traditional search. The evolution isnβt happening through a single βbig bang,β but through a constant, iterative pulse.Β
New LLM models are surfacing every few months, each more specialized than the last. Chinese tech giants are increasingly open-sourcing their models, and even industry leaders are hedging their bets. Baidu, for example, is integrating DeepSeek into its search experience, even as its own Ernie (Wenxin) model remains a formidable powerhouse.
Letβs look at how users actually search in China today β and what this nuanced shift from links to reasoning means for your 2026 SEO strategy.
In many marketing circles, a specific narrative has been repeated so often it has become an article of faith: βTraditional search on Baidu is dead β and has been for years. Websites are obsolete. In China, everything is WeChat.β
This narrative is almost always driven by service providers whose business models depend on WeChat, Douyin, Weibo, or Xiaohongshu marketing. To them, the βopen webβ is a ghost town. But is this actually true?
Thereβs a grain of truth in the hype. The Chinese web is a mobile-first multiverse. Users access and explore the web through super-apps:
In this environment, social media isnβt just a channel. Itβs the air people breathe. For B2C brands, social ads can β and often do β exceed website-driven sales by orders of magnitude.
For those of us working with B2B companies that need real visibility in China, the βBaidu is deadβ narrative falls apart the moment you look at the analytics. Clients who invest in Baidu SEO and Baidu search engine advertising (SEA) continue to see a steady, high-volume stream of real human visitors β in many cases generating more qualified leads and higher conversion rates than their counterparts in the UK or Germany.
Why? Because when a B2B procurement officer or a technical engineer needs a specific industrial solution, they donβt just scroll until they find it on a social media feed. They search for a verified, authoritative source. In other words, they look for a website.
Is the social media narrative a lie? No. But ignoring a channel that β at least in the B2B sector β remains more effective in China than in many search-first Western countries is simply bad business. The goal isnβt to choose one over the other; itβs to understand how they coexist.Β
And just as weβve settled the debate between web marketing versus app marketing, a new challenger β the LLM β has entered the battleground to disrupt both.
To a Google-first marketer, the idea of searching anywhere but a search engine feels like a detour. In China, itβs the standard operating procedure. Users donβt just βGoogle it.β Instead, they choose the tool that fits the intent.
As a Baidu specialist living and working in China, I see this daily. While I might be optimizing a B2B landing page for Baidu, my wife is likely on Pinduoduo, finding household deals, or on Xiaohongshu, planning our next weekend trip.Β
The βeverything appβ exists, but the βright appβ always wins the click.
Despite the βdeath of the webβ narrative, traditional web search remains the primary battleground for B2B and high-authority research. If a user needs a technical whitepaper, a government regulation, or a verified corporate headquarters, they go here.
This is where search becomes discovery. Users donβt always have a keyword, but they do have an interest. In this context, SEO is about social indexing: ensuring your brand appears when a user looks for proof and not just products.
In the West, users often start on Google and end on Amazon. In China, the journey frequently starts and ends in the same place.
This is the newest layer of the map β the βthinkingβ search. These AI models donβt just produce lists of links. They are assistants that synthesize the web for the user.
For the physical world, search is about βnowβ and βnear me.β
Baidu SEO isnβt dead; your website just isnβt the sole focus of web search anymore.
If youβre a Google-centric SEO, there are some notable differences when working with Baidu:
In this environment, ranking a corporate homepage for a high-volume keyword is a foolβs errand. Instead, weβve mastered the art of the βlong-tail dragon.β
In the West, we talk about the long tail of search as a small, niche opportunity. In China, with its linguistic complexity and massive user base, the long tail is a winding, multi-layered beast that is often more lucrative than the head terms.Β
And we donβt just rank a website; we piggyback on the authority of the platforms Baidu already trusts. If you canβt beat Baidu Baike, you become the verified entry inside it.
Interestingly, it is these very platforms β the ones weβve been using to bypass the βblue link problemβ β that have now become the primary focus of the next generation of search.
In China, there is no brand loyalty toward particular AI models, as Westerners have toward platforms like ChatGPT and Claude.
Chinese users are restless. They donβt stick with one model. They switch β sometimes because a hyped model hits a downtime wall, and sometimes because a new model claims the throne of the βmost intelligent AI.β In this cycle of competition and user preference, an SEO canβt just focus on the βbig sources.β
If youβre following the Western playbook, youβre likely chasing Reddit, Quora, and YouTube as your βsources of truthβ for AI training. But in China, that focus is dangerously narrow. To win the reasoning battle, you must understand the investor-source connection.
If you want to train AIs to see your brand in China, you have to look at the platforms they were built on:
Weβre no longer just optimizing for a search engine. Weβre optimizing for a data pedigree.
If your client is B2B, you might still prioritize the Baidu ecosystem. But if your client is in ecommerce and you arenβt feeding the Qwen engine via Alibabaβs ecosystem, or the Doubao engine via Baike.com, youβre limiting your visibility across key AI systems.
If youβre waiting for a βDeepSeek optimization checklistβ or a βDoubao ranking guide,β youβve already missed the point. Because users switch models as often as they switch takeout apps, you canβt afford to be βBaidu-onlyβ or βWeChat-centric.β
Here is whatβs actually working for SEO in China in 2026:
While SEO in the West is focused on generative engine optimization (GEO), in China, itβs all about fact density.Β
As we brainstormed earlier, every AI has a βparentβ with a preferred data source. But since models are now open-sourcing their weights and distilling each otherβs intelligence, your brand must achieve entity consistency.
Chinese AI models have a well-observed recency bias β they prefer sources that are roughly 25% fresher than traditional search results.
Weβve come a long way from the shaky steps of the 2025 CCTV Gala.
In 2026, Chinaβs search ecosystem is no longer a directory of links. Itβs a living, reasoning entity.
For the Western search specialist, the lesson is clear: The βsuper appβ was a distraction. The real story is the fragmentation of intent.
My wife still goes to Pinduoduo for the best price. My colleagues still go to Bing for technical sanctuary. And the βI, Robotβ enthusiasts of 2026 are using a rotating door of LLMs to find their answers.
As a Baidu specialist, my job has shifted from βranking a websiteβ to βarchitecting an entity.β We no longer build for the bot; we build for the source. If youβre the undeniable source of truth across the platforms that shape Chinaβs information ecosystem, it doesnβt matter which model delivers the answer.
Youβll be the one theyβre cheering for.
be quietβs Dark Rock 6 series CPU coolers are launching this month be quiet has officially announced their new Dark Rock 6 and Dark Rock 6 Pro CPU coolers, both of which are launching this month on May 19th. These coolers feature all-new designs, promising significantly improved CPU cooling performance compared to their predecessors. This [β¦]
The post be quiet unveil their Dark Rock 6 and 6 Pro series of CPU coolers appeared first on OC3D.
Apple has once again raised the possibility of making its chips at Fabs besides TSMC, as it is in early talks with Intel and Samsung. Intel & Samsung Emerge As Potential Fix To Apple's Supply Constraints Affecting Its Consumer Chips Bloomberg has just dropped some big news surrounding Apple, which is in early talks with Intel and Apple to secure additional supply for its consumer lineup. The report highlights that Apple has held "exploratory" discussions with the two semiconductor firms as it aims to diversify the production of its chips. The company has so far relied upon TSMC for its [β¦]
Read full article at https://wccftech.com/apple-eyes-intel-samsung-fabs-in-early-stage-talks-a-rare-crack-decade-long-tsmc-loyalty/
Being fast can be a problem, well, you haven't heard that one right? Apex Legends developers just fixed an issue with physics calculations on AMD Ryzen X3D CPUs caused by their high single-threaded performance. Apex Legends Patch Addresses Physics Calculations-Based Stutters Encountered On CPUs With Fast Single-Threaded Performance, Such as AMD's Ryzen X3D Apex Legends rolled out its latest patch, "Overclocked," which includes a range of changes, including performance improvements on the PC platform. One of the changes is unexpected, which calls out the fast single-threaded performance of AMD Ryzen X3D and a similarly performant CPU as the primary cause [β¦]
Read full article at https://wccftech.com/amd-ryzen-x3d-cpus-so-fast-they-broke-apex-legends-physics/
Around five months ago, CI Games CEO Marek Tyminski signaled a shift in tone for Lords of the Fallen 2 away from "political correctness" and toward, among other things, skimpy female armor designs. Now, that's been confirmed with the official reveal of five concept art pieces that leave little to imagination: the female characters will feature much more revealing armor sets in the upcoming Soulslike sequel. The studio claimed to be responding to players' feedback: You wanted fierce. You wanted beautiful. You wanted provocative. The reveal also took place in partnership with content creator TheBackgroundNPC, who focuses specifically on female [β¦]
Read full article at https://wccftech.com/ci-games-lords-of-the-fallen-2-skimpy-armor-female-characters/
Karaads is a social platform that lets you connect, share moments, and earn rewards by engaging with ads. It offers a personalized space where you can build friendships, watch relevant ads, and discover the latest trends tailored for you. Scroll through an algorithm-driven feed, follow creators, and engage in conversations to build authentic communities.
Essay Grader AI helps teachers grade essays quickly, delivering specific feedback, error detection, and rubric-aligned scores. It supports custom rubrics, bulk uploads, and class organization, plus built-in summarization and AI content detection. Companion tools generate questions, lesson plans, and classroom materials to streamline daily work.
AI pager that investigates incidents before wakeups
Google says a new wave of users are learning that Search can handle more complex questions, changing how they search.
The post Google Says A New Wave Of AI Users Is Transforming Search appeared first on Search Engine Journal.
Google says AI's ability to surface common information makes human experience and subjective insights more valuable for content.
The post Google: AI Makes Human Experience More Important For Content appeared first on Search Engine Journal.
In February 2024, Gartner predicted that traditional search volume would drop 25% by 2026. It didnβt. Googleβs search revenue accelerated to 17% year-over-year growth, crossing $63 billion in Q4 2025 alone. But clicks per search are falling while query volume explodes. The pie got bigger. The slices got redistributed. And most search teams are still optimizing for the old pie.
Are you still poring over spreadsheets full of organic keyword rankings like itβs 2003? Your customers donβt care where theyβre getting their answers. Theyβre just looking for answers they can trust. And theyβre finding those answers across more surfaces than your rank tracker knows exist.
If your organic strategy lives in one spreadsheet, your paid strategy in another, and your AI search strategy in a third (or nowhere), youβre optimizing for a search experience that no longer exists.
Google βbest tax softwareβ right now. Go ahead, Iβll wait.
Count the surfaces on that single results page. Sponsored ads across the top. An AI Overview with its own recommendations and citations. A Reddit thread (because Google knows people trust other people more than brands). Organic listings from CNET, H&R Block, and others. A video carousel. Discussion forum links. A product carousel with images and prices. More sponsored results at the bottom. And a βPeople also search forβ section feeding the next query.
That is one search. One keyword. And nobody owns it.
Now think about how different people actually use that page. I scroll past everything to find the Reddit thread, because I want to know what real humans recommend. My dad clicks the first sponsored ad because he doesnβt understand paid advertising (sorry, dad!) and just trusts Google to surface the best option up top. Someone else reads the AI Overview, gets a good-enough answer, and never clicks anything at all. A fourth person watches the Smart Family Money video and leaves.
Same query. Four completely different paths. Four different βwinners.β And if youβre the brand celebrating a number-three organic ranking on this page, you may be missing that most of the real estate, and most of the user attention, lives somewhere other than those blue links.
This is what I mean by the total SERP experience. Your customer sees the whole page. You should too.
AI Overviews now appear on roughly 25% to 48% of Google queries, depending on the study. ChatGPT processes 2.5 billion prompts a day. Perplexity is up 239% year over year. These are real numbers from real platforms where real buyers are forming opinions about your brand, or not forming opinions because youβre nowhere to be found.
But before the panic sets in: AI tools still account for less than 1% of U.S. web traffic. Google sends 300x more referral traffic than all AI platforms combined. The sky isnβt falling, but the ground is shifting.
The shift that matters most is behavioral. Wynterβs 2026 research found 68% of B2B buyers now start their research in AI tools before they ever open Google. They ask ChatGPT to narrow the field, then Google the shortlist to validate. AI evaluates, Google verifies, and your website converts. If your brand is missing from that first AI conversation, youβre not even on the shortlist when the Googling starts.
A Search Engine Land analysis of 25 million organic impressions across 42 clients found organic CTR drops 61% when an AI Overview appears. In addition, paid CTR drops 68%.
EVERYBODY FREAK OUT!!! Right? Not quite.
Hereβs what the panicked LinkedIn posts leave out: brands cited inside AI Overviews see 35% more organic clicks and 91% more paid clicks. Being in the AI Overview doesnβt cannibalize your traffic. If anything, it amplifies it. The AI Overview functions like a trust signal, a stamp of βthis brand is relevant to your questionβ that makes people more likely to click your listing below.
The real twist, though, is that ranking well in organic doesnβt guarantee you show up in AI. Tom Capperβs research at Moz found 88% of AI Mode citations are NOT in the organic SERP for the same query. Organic and AI are pulling from different source pools. You can be number one in Google and completely invisible in ChatGPTβs answer to the same question.
And the small amount of traffic that does come from AI? It converts at more than quadruple the rate of organic, according to Semrush. These visitors arrive more informed, more intentional, and more ready to buy. Which makes sense, because theyβve already done the evaluation inside the AI interface. By the time they click, theyβre just confirming and often converting.
Most companies have SEO reporting to content, PPC reporting to demand gen, and AI search reporting to nobody. BrightEdge found 54% of organizations have handed AI search to the SEO team alone, which is a little like asking your plumber to also handle the electrical work because, hey, itβs all in the same house.
The waste from this setup is real. One branded Performance Max campaign paid roughly $500,000 for clicks that would have come through organic anyway. Googleβs own research confirms: when you rank number one organically, only half your paid clicks are truly incremental. The other half? You bought what you already owned.
Meanwhile, McKinsey found that a brandβs own website makes up only 5% to 10% of the sources AI references. AI pulls from Reddit, review sites, affiliates, publishers, and user-generated content. You can have the best SEO program in your category and be completely absent from AI search results because AI is reading what other people say about you, not what you say about yourself.
The unified approach works. Level cut acquisition costs 18% and boosted SEO leads 22% by merging paid and organic for a B2B SaaS client. And we can use tools in our Level Intelligence Suite to connect performance signals across search surfaces. The channels compound each other. Treating them as separate line items on separate P&Ls leaves that compounding on the table.
You donβt need a six-month transformation to start seeing the gaps. Three lenses, applied to your top 20 keywords, will show you where the opportunities and the waste are hiding.
Lens 1: Where do you actually appear? Check your organic rankings, paid ad coverage, and AI visibility across ChatGPT, Perplexity, and Gemini for the same set of keywords. Semrush has a free AI visibility checker. Most teams have never looked at all three surfaces side by side, and the gaps are almost always larger than they expect.
Lens 2: Where are you paying for traffic you already own? Cross-reference your number-one organic rankings with active PPC bids on the same terms. Start with branded keywords, where the waste is usually largest and the test is cleanest. If you rank first and youβre still bidding, youβre probably buying your own clicks.
Lens 3: Where is AI ignoring you? Compare your organic rankings with your AI citation presence. Only 11% of domains get cited by both ChatGPT and Perplexity, so strength in one guarantees nothing in the other. And check your robots.txt while youβre at it. If youβre blocking AI crawlers like OAI-SearchBot or PerplexityBot, youβve pulled yourself off those shelves entirely.
This diagnostic shows you the full picture. What to do about it, the actual unification framework, is what Iβm laying out at SMX Advanced.
Generative Engine Optimization (GEO) keyword difficulty currently averages 15 to 20, compared to 45 to 60 for equivalent SEO terms. That gap will close. Once an LLM selects a trusted source, it reinforces that choice across related prompts. The brands getting cited now are training the models to keep citing them. Winner-takes-most dynamics are being baked into the weights.
Many companies are seeing search traffic drop significantly. Those same brands, the ones that get it right, are seeing the inverse when it comes to business growth. Rankings and revenue have decoupled. The brands that win from here are the ones that stopped measuring channels in isolation and started measuring the search experience their customers actually have.
Weβre presenting a search unification framework at SMX Advanced in our session, βOrganic, paid, and AI search: one strategy to rule them all.β If you want to stop optimizing for three separate channels and start compounding performance across every search surface, join us for the session or come find the Level team at Booth #9.
Remember: The search experience that existed in 2023 is gone. The strategy should be too.
Halo Studios plans to remake the original Halo Trilogy According to a report from Rebs Gaming, Halo Studios is planning to create remakes of the original Halo Trilogy. Remakes of Halo 2 and Halo 3 are reportedly in early development, and both projects will continue regardless of the performance of Halo: Campaign Evolved. Halo: Campaign [β¦]
The post Halo 2 and Halo 3 remakes are currently in development β leaker claims appeared first on OC3D.
Team Group expands its Elite and Elite PLUS DDR5 range with new DDR5-8000 kits Team Group has officially released new JEDEC standard DDR5-8000 memory modules for its Elite and Elite PLUS product ranges. These modules can deliver 8000 MT/s speeds at 1.1V with CL56-56-56-128 timings, and support both AMD Ryzen and Intel Core Ultra systems. [β¦]
The post Team Group launches new DDR5-8000 memory kits for Intel and AMD Ryzen PCs appeared first on OC3D.
The CPU market looks very different from six months ago. Intel's back in the conversation, AMD's X3D chips still rule gaming, and there's genuine value at every price point.
Final Fantasy VII Remake Part 3 has yet to be officially announced, but recent statements from director Naoki Hamaguchi suggest theΒ game's reveal and release aren't too far off. According to a high-effort leak posted onΒ ResetEra, the third and final entry in the remake trilogy will be revealed during this year'sΒ Summer Game FestΒ opening showcase on June 5, but many of the detailsΒ sound too good to be true. "I am posting this on behalf of somebody else I know to protect their identity who works somewhere in the chain between Square Enix marketing and Summer Game Fest event staff. The level of [β¦]
Read full article at https://wccftech.com/final-fantasy-vii-remake-part-3-detailed-leak-too-good-true/
The memory shortage faced by Apple can be avoided as the company can purchase DRAM quantities in bulk for a multitude of products, but one area where the Cupertino firm may continue to struggle is chip supply. As TSMC is operating at its maximum capacityΒ by fulfilling 3nm silicon orders for AI customers, itβs adversely affecting iPhone 17 Pro Max shipments to the point that a customer who has been searching around for a flagship unit is unable to find one in a U.S. state. Low A19 Pro chip supply could also affect the second-generation MacBook Neo shipments, as Apple will [β¦]
Read full article at https://wccftech.com/iphone-17-pro-max-shipments-affected-due-to-low-chip-supply/
Levelop helps developers master coding patterns and system design through interactive challenges, an intuitive system design canvas, and daily practice. It adapts to your goals, tracks progress with personalized dashboards, and uses AI-powered guidance to keep you focused and productive. Join a community of learners and builders, set achievable milestones, and consistently grow your skills.
Vimi is an AI-powered photo studio that turns selfies, pet shots, and couple photos into polished portraits and creative artwork. Browse themed collections like Cute 3D World, Premium Portrait, Playground FX, and Elegant Sari to find a look you love. Upload photos, pick a style, and generate unique images for profiles, gifts, or celebrations in minutes.
Discreet brainwave wearable for real-time mental insights
AI fraud detection for documents, IDs, and images
To address the challenges of water quality and availability in the Scheldt Basin, a vital river network flowing through Belgium, Google is supporting Agua Segura and Agrβ¦The next Call of Duty game isnβt coming to PlayStation 4 Over the weekend, rumours began circulating that the next Call of Duty game is being developed for last-generation consoles. This means that the game was being developed with PlayStation 4 and Xbox One in mind. In response to these rumours, Activision has used their [β¦]
The post Itβs official; no PS4 β Call of Duty is abandoning last-gen appeared first on OC3D.
DDR6 memory is officially in development All major memory manufacturers, including Samsung, SK Hynix, and Micron, have reportedly started developing DDR6 memory. Alongside substrate manufacturers, βjoint developmentβ for the standard has reportedly begun. According to The Elec, this happens βmore than two years before product launchβ, placing DDR6βs launch in a 2028-2029 timeframe. JEDEC has [β¦]
The post DDR6 memory is officially in development β 2028-2029 launch planned appeared first on OC3D.
This morning, Finnish developer Remedy Entertainment posted its Q1 2026 financial report, which revealed, among other things, a new sales milestone for CONTROL: 6 million units sold. The year's first quarter was profitable but slightly down year over year, with revenue falling 1.9% to β¬13.1 million, though EBITDA (earnings before interest, taxes, depreciation, and amortization) actually improved to β¬2.9 million from β¬2.6 million. The more notable shift is in the revenue mix:Β game sales and royalties nearly doubledΒ to β¬5.0 million (from β¬2.6 million in Q1 2025), while development fees fell from β¬10.7 million to β¬8.2 million as CONTROL Resonant nears completion. [β¦]
Read full article at https://wccftech.com/remedy-ceo-control-resonant-franchise-6-million-units/
From screen to polished video in minutes
Automated cancer diagnostics
Social media security for brand accounts
AI clinical trial matching for patients
Smartphone eye tests for refractive errors
Native CAD autocomplete β 2.5x faster, 4x fewer clicks
Foundation model of the Immune System
Microbiome test kits with AI nutrition guidance
School cafeteria ordering and payments platform
AI ultrasound analysis for echo reports
AI analytics agent for hospitality revenue teams
Global Neobank for digital businesses
Stop guessing where your money goes β Hutsy tells you
The perception layer for Marketers and their AIs
App-free AR publishing for brand campaigns
Agentic infrastructure powering video search & monetization.
Turns business updates into training content
WhatsApp expense invoicing for company teams
Enterprise user research platform for product teams
AI agents for data center cooling and power
Turns PDF P&IDs into queryable engineering data
OpenAI appears to be fast-tracking its plans for an AI-enabled smartphone, partially in a bid to bolster its IPO that might land as soon as this year. And, in its urgency, OpenAI appears to be settling on a customized version of MediaTek's upcoming flagship Dimensity 9600 chip as the SoC of choice for the planned smartphone. OpenAI's smartphone will use a customized version of the Dimensity 9600 chip, replete with a dual-NPU architecture and enhanced HDR for real-world visual sensing The famous analyst Ming-Chi Kuo revealed towards the end of April that OpenAI had relegated its planned range of consumer [β¦]
Read full article at https://wccftech.com/openai-picks-mediatek-over-qualcomm-for-its-first-smartphone-customizing-the-dimensity-9600-with-a-dual-npu-architecture-to-challenge-the-iphone/
TwainGPT is an AI humanizer that transforms AI-generated text into natural, undetectable writing using advanced algorithms. Simply paste any draft and TwainGPT rewrites your content to sound genuinely human, bypassing leading detectors like GPTZero, ZeroGPT, Copyleaks, Turnitin, QuillBot, and Grammarly. The platform also includes a built-in AI detector to analyze content from models like ChatGPT and Gemini before publishing. With support for 100+ languages and a smooth mobile experience, TwainGPT is built for anyone who needs human writing that bypasses AI detectors.
Incident Index turns raw incident notes into structured RCAs and stakeholder-ready reports in minutes. Paste a plain-language description or run a guided Conduct session, and it generates timelines, root causes, 5 Whys, and fishbone diagrams aligned to your team's standards.
Export to PDF, Word, or Markdown, collaborate with version history, and keep a searchable knowledge base of past incidents to spot patterns and reuse learnings.
The AI-powered calendar that plans your day for you.
Your #1 new customer is an AI agent. Are they getting an A?
Learn and master breathwork with guided breathing exercises
A quiet pace instrument for your Mac
Instantly turn your voice and screen into shareable videos
AI design engineer to turn your thoughts into editable UI
Parallel agents, diff reviewer, and multi-model comparisons
Production browser automation, built and maintained by AI
AI agents built directly into Unity workflows
Game with TMR sticks, dual haptic trackpads, + gyro controls
macOS agent that turns prompts into automated clicks
A local AI coding assistant to delegate tasks to AI agents
Write and publish posts on LinkedIn & X
Protect your screen in public with one shortcut
The antidote to fluffy specs.
The context layer for production-grade AI agent
Verify and correct AI outputs before users see them
Mixed reality tabletop sandbox for XR on Quest & Vision Pro
Eye-tracking assessments for brain health
Prove ROI and see if your AI spend is actually paying off
Spot market API for cheaper LLM inference
Automating business capital access with AI agents
AI that runs equipment rental businesses
Agentic AI for frontline hiring and onboarding
Personal memory layer that works across AI apps
Identity governance for apps without SCIM
Talent OS that predicts performance, not just parses resumes
WhatsApp collections and transfers for independents
Business spend management with cards and approvals
AI agents for accounting firms
Enabling creators to train their communities at scale.
Vision-first QA testing across web and mobile
Agentic Privacy-first KYC and KYB with MCP
AI study copilot for college coursework
Autonomous SEO and lead generation for B2B teams
AI space insights from satellite data
Real-time electrolyte monitoring from existing wearables
AI studio for image and video creation
Truck parking reservations for commercial drivers
AI revenue workflows for enterprise GTM teams
Extract, document and modernize legacy mainframe systems
B2B client and supplier verification platform
Cash rewards app for saving and paying off debt
Home-buying software for first-time buyers
AI orchestration for satellite data networks
The Infrastructure Behind AI Agencies | White-Label Platform
Real-time AI answers during sales calls
AI CTO for codebases
Procurement marketplace for hotel purchasing teams
Gamified mental health support for kids
TSMC is turning into a victim of its own success as the world's preferred chip foundry, leaving its heretofore prized customers such as Apple in a bind of sorts as they suddenly find themselves crowded out by AI hyperscalers. In its frustration, Apple is now reportedly exploring the possibility of dividing up its silicon load between Samsung, Intel, and TSMC rather than remaining largely TSMC-exclusive. Apple is looking for contingencies by tentatively probing Intel and Samsung as additional vectors for manufacturing its custom chips According to Bloomberg's Mark Gurman, Apple has already held "early-stage talks" with Intel for using its [β¦]
Read full article at https://wccftech.com/apple-quietly-courts-intel-and-samsung-for-its-most-critical-chips-as-tsmcs-advanced-nodes-remain-choked-under-ai-demand/
Samsung might have a lot of faults, but a lack of innovation is certainly not among those. As a case in point, look no further than the recent SID exhibition in the United States, where Samsung just unveiled two revolutionary display technologies, unlocking a veritable suite of biomarker-led applications in the process. Samsung flexes its innovative muscle with the "Flex Chroma Pixel" and "Sensor OLED" The famous tipster Ice Universe has just detailed two new display technologies that Samsung recently showcased at the SID exhibition. Samsung's "Flex Chroma Pixel" display combines next-gen emissive materials, such as phosphorescent sensitized fluorescence (PSF), [β¦]
Read full article at https://wccftech.com/samsung-flaunts-a-smartphone-display-that-can-measure-blood-pressure-with-a-single-touch/
Online Whiteboard lets you create and share a real-time canvas with one click. Open a board in your browser, send the link, and collaborate instantly across devices with no sign-up or installs. Teachers, remote teams, and creators sketch ideas, plan projects, and diagram concepts on an infinite canvas that loads fast and stays simple, so you can focus on thinking together.
GPT Image 2 lets teams create marketing visuals, product imagery, realistic screenshots, and editable assets with high prompt fidelity and readable text. You can start from a prompt or reference, then refine layout, style, and subject with targeted edits that preserve the brief. Use it to produce campaign key visuals, posters, explainers, commerce imagery, and storyboards, then carry the approved still into video workflows.
CreatorSpark is an AI writing tool for educational YouTube creators that learns your voice, beliefs, and point of viewβnot just how you sound. Instead of just copying your word choices, it learns what you actually thinkβyour beliefs, your take on your niche, and the positions youβd push back on. You tell it once and it applies that to everything it helps you write. With training from your best content, it helps creators reach 80-90% accuracy instead of the industry standard 60%. Built by a YouTube creator and 10-year copywriter who built her own solution out of frustration.
Capy Trips is a travel discovery and planning site that helps you find the right destination and map out your getaway. Browse regions and popular cities with data from real travelers, explore hidden gems as alternatives to famous spots, and save ideas to My Trips.
Nyata AI is Bristolβs AI companion that helps residents find free meals, hot showers, local services, and community events through a friendly chat. It connects you with housing and mental health support, job centres, and when needed, directs you to trained professionals for personalised guidance.
Built by locals and registered with the UK ICO, Nyata AI focuses on accessible, accurate, and privacy-conscious support for people navigating community resources.
Google's Liz Reid unpacks consequential changes to user search behavior that also impact how to approach SEO.
The post Google On Keyword Fragmentation And User Needs In AI Search appeared first on Search Engine Journal.
We are adding $10 million to the AI Opportunity Fund to help students, educators and workers learn essential AI skills.The move comes in response to proposed state regulatory measures designed to protect minors from accessing harmful content within the companyβs apps.
Topic summaries are determined by artificial intelligence, with the appβs team providing oversight to avoid violating community guidelines.
The feature will allow users to generate audio samples that replicate their own voices, offering new capabilities in digital audio.
The 13-page publication outlines key product trends in the app and provides an overview of related subreddit communities.Β
A new partnership with Vistar Media will allow advertisers to bring their campaigns to more than a million placements beyond the app.
The feature is rolling out for accounts that post artificial intelligence-generated content, and the labels will appear on profiles and content.
The platform will allow creators to replace copyrighted songs with royalty-free instrumental clips, while also using conversation context to filter video comments.
As rumors suggest that Google is interested in using Intel for its next-generation tensor processing unit (TPU) chips, well known analyst Ming-Chi Kuo has shared his thoughts on the matter. The analyst believes that yields will be a key factor in Google's decision, especially since the technology giant has started to focus on cost savings for the Humufish next-generation TPU's design. Intel's Yields With The EMIB-T Packaging Technology Will Play Key Role In Google's TPU Orders, Says Analyst Intel's EMIB-T packaging technology, short for Embedded Multi-die Interconnect Bridge Through Silicon Vias (EMIB-T) relies on using a 'bridge' that is embedded [β¦]
Read full article at https://wccftech.com/analyst-warns-googles-intel-tpu-bet-hinges-on-a-brutal-yield-jump-from-90-to-98/
Nintendo fans and Nintendo Switch 2 owners have a lot to look forward to in 2027-2028, if interviewer Kiwi Talkz is to be believed. Reece 'Kiwi Talkz' Reilly, who you may recognize as a YouTuber who regularly interviews game developers and someone who has occasionally leaked accurate information ahead of its official reveal, has shared his latest tidbit that's stirred speculation, and it points to more Metroid, Zelda, and Smash Bros. to look forward to. What 'more' for any of those franchises means is less clear. There's the Legend of Zelda movie that's coming next year, which Reilly mentions, but [β¦]
Read full article at https://wccftech.com/nintendo-switch-2-smash-bros-zelda-metroid-coming-2027-2028-rumor/
Birthday Invitation AI is an all-in-one platform for creating beautiful birthday invitations and managing RSVPs. It offers over 500 curated theme templates like Peppa Pig, Paw Patrol, Unicorn, Minecraft, and more, or you can describe a custom theme in any language. The AI creates personalized, print-ready invitations in minutes. Features include QR code RSVP tracking, real-time guest management, and automatic email reminders. It supports birthdays for all ages, milestone birthdays, 8 languages, and offers a free RSVP form for custom designs.
PictaBase is a lightweight digital asset manager that helps field teams, agencies, and inspectors turn scattered photo libraries into searchable business assets. Organize images with custom tags and industry templates, then find shots in seconds with chip-based filters and AI-assisted suggestions you control. Upload directly from the browser to your S3 for zero-knowledge privacy, keep portable sidecar metadata, annotate assets for clear feedback, and deliver branded client galleries. Enjoy fast browsing across huge libraries and simple pricing starting with a one-time lifetime license.
Google's Liz Reid says AI Mode is suited to complex follow-up queries, while browsy searches may still benefit from the full search results
The post Google: Browsy Queries May Favor Full SERPs, Not AI appeared first on Search Engine Journal.
U.S. carriers often have a truckload of salivating deals for customers to upgrade to the latest-generation flagships at a sizable discount, just as long as they satisfy certain requirements. On this occasion, one subscriber was on his way to becoming the proud owner of a Galaxy S26 Ultra, and seeing as how Verizon had one that wasnβt just $600 off, but it was also rewarding an additional line, not to mention an upgraded plan at no additional cost, the offer was a steal. Unfortunately, these deals are only enticing if Verizon can honor them, and due to serious negligence, the [β¦]
Read full article at https://wccftech.com/galaxy-s26-ultra-deal-600-off-and-more-missed-by-customer-due-to-verizon-mistake/
AuthorOS is an AI-powered publishing studio that takes you from a half-formed book idea to a finished, Amazon-ready title. It guides you through four phases (Plan, Write, Prepare, Publish) across 11 stages, capturing your knowledge and voice, building an outline, drafting chapters that sound like you, and producing the cover, listing, and export files Amazon needs.
It's built for first-time authors who have a book in them but don't have a year, a ghostwriter, or a publisher. You bring the idea and the voice. AuthorOS handles the rest, and your name is the only one on the cover.
During National Small Business Week, jumpstart your growth with tools like Gemini, Workspace and Ads β plus, resources and exclusive offers from Google.Event-Driven Webhooks are a push-based notification system that eliminates the need for inefficient polling.
Bazzite 44 is a big one. Built on Fedora 44, this gaming-focused Linux distro lands with KDE Plasma 6.6 and Gnome 50, the OGC kernel 6.19, and Mesa 26.0.5 for better GPU support across Vulkan and OpenGL titles. The release also strengthens security with signed ISOs and updates bundled tools.
Video game studios don't often comment on rumours, but when they do they offer welcome points of clarity for players. Today, Activision chose to comment on a rumour that ran rampant yesterday and most of today, which was that the next Call of Duty game (which is largely reported to be Call of Duty: Modern Warfare 4) is being made for last-gen consoles, specifically PS4. The official X (formerly Twitter) account for the shooter franchise cleared the air on that, and seemingly confirmed one of the biggest questions surrounding 2026's Call of Duty entry. "Not sure where this one started, [β¦]
Read full article at https://wccftech.com/call-of-duty-no-longer-ps4-xbox-one/
NVIDIA's Open-Source "Nemotron 3 Super" AI model has topped the EnterpriseOps-Gym leaderboard, showcasing NVIDIA's software prowess. NVIDIA Is Topping Both AI Hardware and Software Leaderboards With Its Open-Source Nemotron 3 Super, Leading The Pack In March this year, NVIDIA introduced its Neomtron 3 Super, a 120B AI model with 12B active parameters. Based on a hybrid MoE architecture, the model is designed to deliver a 5x throughput versus the previous Nemotron Super model, and tackles large context with a native 1M-token context windows that gives agents long-term memory for aligned, high accuracy reasoning. Some of the highlights of NVIDIA's Nemotron [β¦]
Read full article at https://wccftech.com/nvidia-nemotron-3-super-tops-the-open-source-ai-model-chart-beating-deepseek-gpt-oss/
Grand Theft Auto VI will be the biggest video game launch, and perhaps the biggest launch of any single piece of entertainment in history, when it arrives. Whether that's on November 19, 2026, as is the current plan, or on a different date due to an unforeseen delay, that statement is practically set in stone, and that'll happen despite GTA 6 only arriving on PlayStation 5 and Xbox Series X/S consoles to start, and not on PC. Why it won't arrive on PC is a topic of much debate, with speculation being that Rockstar and Take-Two would rather let players [β¦]
Read full article at https://wccftech.com/take-two-boss-why-gta-6-comes-to-consoles-first-pc-second/
In a recent interview with Mundfish founder and CEO Robert Bagratuni about the Atomic Heart series, I inquired about the studio's opinion on NVIDIA DLSS 5, the surprise announcement at GDC 2026 that proved highly controversial among developers and modders: some people love it, others hate it. Atomic Heart already supports NVIDIA DLSS technologies like Super Resolution and Frame Generation. Is Mundfish considering DLSS 5? Well, Bagratuni called it "highly promising", though he added that the developers are following its progress and will evaluate its potential addition in future releases. In short, he hasn't committed yet. DLSS 5 is aΒ very [β¦]
Read full article at https://wccftech.com/mundfish-dlss-5-ai-tools-atomic-heart-development/
Convoe unifies team chat, task tracking, and calendar in one place. Its built-in AI, Kai, reads conversations to extract actions, deadlines, assignments, and events, then syncs them to boards and calendars so nothing slips. Use channels, threads, and DMs naturally; Convoe turns talk into tracked work with zero manual entry and notifies the right people. It replaces separate chat, task, calendar, and AI tools to keep teams aligned at lower cost.
DecidexAI is an AI data analyst for SaaS teams that monitors Stripe and GA4 metrics 24/7, detects anomalies, and sends real-time alerts via Slack or email. It delivers daily briefings, AI-written weekly executive reports, and answers natural-language questions while providing interactive dashboards with 68 prebuilt metrics. It also predicts churn with customer risk scores and action plans, plus cohort, MRR, and retention analyses, helping you catch revenue dips early and make faster decisions.
The flagship Bartlett Lake chip can be a bit faster than the flagship Raptor Lake Refresh CPU, but this isn't the case in ever game. Bartlett Lake 12-P-Core Chip Delivers 5-9% Higher Performance in Games Than 24-Core Intel Core i9 14900K Intel's Bartlett Lake is an interesting CPU lineup, despite not being meant for the consumer segment. We have previously seen some users making efforts in running the flagship Bartlett Lake chip on a regular LGA 1700 motherboard, as technically, the Bartlett Lake CPUs are compatible with the LGA 1700 socket. Since no official BIOS is available from Intel, mainstream [β¦]
Read full article at https://wccftech.com/intel-core-9-273pqe-is-reportedly-up-to-9-faster-in-gaming-vs-core-i9-14900k/
Samsung is not expected to fundamentally alter the prevailing mold when it launches the Galaxy Z Flip 8 later this summer. Even so, the South Korean tech behemoth is looking at a few iterative improvements that are likely to improve the device's ergonomics and aesthetics. Samsung Galaxy Z Flip 8 will weigh 8 grams less than its Flip 7 counterpart, and come equipped with a new hinge and a crease-free display South Korea-based Yeux1122 has now published a new blog post detailing that the Galaxy Z Flip 8 will be slimmer than its Flip 7 counterpart by around 0.5mm, courtesy [β¦]
Read full article at https://wccftech.com/samsung-galaxy-z-flip-8-will-be-just-a-smidge-lighter-than-the-flip-7-while-managing-to-kill-the-display-crease/
Valve's latest Steam Controller, and the first of its previously announced new hardware products, has officially launched and is available for players to order directly through Steam. If you get through to one, that is, as the controller launched and promptly sold out within 30 minutes. Any new popular product release in video games or in any market today is a race to see whose connection worked faster or who could type in their credit card details faster, and the Steam Controller was no different. The new gamepad shot directly to the top of Steam's best-selling charts, and as quickly [β¦]
Read full article at https://wccftech.com/steam-controller-launch-sold-out-in-minutes/
PDFGate is a developer-centric platform to generate PDFs, collect secure digital signatures, and manage document workflows through a clean, predictable API. Create and send signature requests in minutes, embed signing in your app, and track status in real time from a simple dashboard. It offers fast performance, 99.9% uptime targets, and GDPR-compliant processing on EU servers. Teams get clear docs, quick integration, and responsive support to automate agreements while keeping control of data privacy.
Here are Googleβs latest AI updates from April 2026Automation doesnβt fail on its own β it does exactly what itβs trained to do. The problem is that when Google Ads is fed incomplete, misaligned, or overly broad signals, it can optimize toward the wrong outcome faster than most advertisers realize.
In our second installment of SMX Now, our new monthly series, Ameet Khabra of Hop Skip Media will break down a real account where a 417% jump in conversions turned out to be the wrong kind of success. Sheβll use that case study to explain the four key ways automation drift enters an account: signal drift, query drift, inventory drift, and creative drift.
Youβll leave with a practical framework for diagnosing drift early, understanding where human oversight matters most, and managing automation more deliberately so it works toward real business goals β not just platform-reported wins.
Join us May 6 at noon ET.
Itβs finally here! Valveβs Steam Controller is now available to purchase Itβs official: Valveβs second-generation Steam Controller is now available, giving PC gamers a premium gamepad optimised exclusively for PC gaming. No PS5 DualSense or Xbox controller, just pure PC goodness. In the UK, the Steam Controller is available for Β£85, and Valve currently claims [β¦]
The post Valveβs Steam Controller is available now appeared first on OC3D.
3DMark is a widely used benchmarking tool that measures GPU and CPU performance using a range of graphics tests, including modern ray tracing workloads, making it useful for everything from quick system checks to in-depth performance comparisons across different hardware configurations.
In a galaxy far, far away, the Death Star wasn't just a weapon... it was a monumental achievement of (fictional) engineering and human resource management.
Today, Playground Games confirmed several key Forza Horizon 6 details ahead of the game's May 19 launch. First and foremost, the game is now gold, and preloading is available on Xbox Series S and X and PC via the Xbox app, with Steam preloading coming soon. You'll have to make a lot of space in your storage drive, though: Playground also shared that there will be two graphics modes to pick from on Xbox Series S and X. The former console will allow 1440p at 30 frames per second or 1080p at 60 frames per second, while the latter enables [β¦]
Read full article at https://wccftech.com/forza-horizon-6-soundtrack-babymetal-linkin-park-radio-stations/
As compute requirements grow in AI datacenters, so do the power requirements, which are estimated to reach 17x higher with NVIDIA's Feynman. NVIDIA Feynman Racks Estimated To Feature 17x Higher Power Semi Costs Per Rack Versus Blackwell NVIDIA Feynman GPUs feature several groundbreaking features and will launch in 2028, after Rubin. The company has been working hard to deliver more efficient AI solutions, but as requirements grow, power requirements have increased tremendously. Morgan Stanley Research has published a chart that visualizes the total power semi content of three AI rack solutions from NVIDIA. Starting with the baseline Blackwell or B200, [β¦]
Read full article at https://wccftech.com/nvidia-feynman-gpus-push-power-semi-content-17-times-higher-vs-blackwell/
Bungie's new extraction shooter, Marathon, is still trying to find its footing as the latest triple-A multiplayer shooter on the market. While it's been critically praised by many (myself included), it seemingly hasn't reached the level of commercial success that Bungie or PlayStation Studios hoped it would reach. Despite that, Bungie isn't letting on that it has any concerns about Marathon, and in a recent interview has just re-emphasized how it has long-term plans for the game. As we continue to see multiplayer games launch with plenty of excitement and hullabaloo, only to die within a year for a myriad [β¦]
Read full article at https://wccftech.com/bungie-emphasizes-long-term-commitment-to-marathon/
Navos is an AI strategy advisor for business leaders. It learns how your company works, tracks external forces that affect it, and tells you what changed, what it costs you, the scenarios, and your options. You get a strategy review of where you stand, a weekly brief on what moved in the world and what it means for you, live tracking of your performance against targets, and an advisor you can ask anything that answers from your actual numbers.
Together with the National Archives and others, weβre launching an interactive journey through Americaβs history.Google said it has βresolvedβ an issue with logging data within Google Search Console reporting. The logging issue happened between May 13, 2025 through April 27, 2026, about 50 weeks. The resolution did not fix the past data, but it did fix the issue going forward.
What Google said. Here is what Google posted:
βA logging error prevented Search Console from accurately reporting impressions from May 13, 2025 until April 27, 2026. This issue has been resolved. As a result, you may notice a decrease in impressions in the Search Console Performance report. Only impressions and related metrics β CTR and average position β were affected; clicks were not affected by the error, and this issue affected data logging only.β
What was fixed. Just to be clear, Google has not fixed the data from May 13, 2025 through April 27, 2026 but just fixed the data going forward. So keep this in mind when reviewing the data in that date range.
John Mueller from Google confirmed onΒ BlueskyΒ that this is only fixed going forward and the old data will not be fixed.
Why we care. When reviewing your Search Console data, please note that for about 50 weeks, almost a year, the reports may be off and you may see a decrease in impressions, and thus click-through rate and average position data are also impacted.
ASUS is reportedly limiting the supply of its RTX 5070 Ti models to prioritise its higher-profit RTX 5080 models According to a report on Channel Gate, via WCCFTECH, ASUS are reportedly changing its GPU supply strategy. ASUS will reportedly continue to reduce its supply of its RTX 5070 Ti series GPUs to βprimarily focusβ on [β¦]
The post ASUS reportedly shifts supply RTX 5070 Ti to RTX 5080 amid memory shortage appeared first on OC3D.
The mobile DRAM market is showing no sign of retrenchment as the wider industry stares at a ~100 percent quarter-over-quarter (QoQ) price increase in Q2 2026, building upon the 58 percent - 63 percent QoQ price growth for LPDDR5X in Q1. The mobile DRAM market shows no sign of cooling off, as Long-Term Agreements (LTAs) entrench price hikes SemiAnalysis reported just a few days back that LPDDR5 contract prices were recently hovering at around $10/GB after undergoing a 3x increase since Q1 2025. What's more, the firm expected this trend of price hikes to continue well into 2027. While DRAM [β¦]
Read full article at https://wccftech.com/mobile-dram-prices-expected-to-increase-by-100-quarter-over-quarter-as-long-term-agreements-now-getting-signed-at-prices-as-high-as-21-gb/
GTA 6 is poised to set the market on fire when it launches this November. While its price hasn't been determined, there's no doubt the sixth entry in the series byΒ Rockstar GamesΒ will be a smashing success, butΒ Bank of AmericaΒ believes the game should be priced at $80. A high price point that would not only be in Take-Two's self-interest, but that could also save the entire gaming industry, which is perceived as struggling. In an investor note penned by Omar Dessouky, as reported by Seeking Alpha, after attending the iicon Video Game Conference where Take-Two CEO Strauss Zelnick heavily suggested the [β¦]
Read full article at https://wccftech.com/bank-of-america-wants-gta-6-priced-80/
Intel has made two big changes: the appointment of Alex Katouzian from Qualcomm in the Client Computing & AI segment, along with Purskar Randae as CTO. Alex Katouzian Appointed to Lead Intel's Client Computing & Physical AI Group Press Release: Intel Corporation today announced two key leadership appointments to strengthen its core product business and advance the companyβs innovation agenda. Alex Katouzian will join Intel as executive vice president and general manager of the Client Computing and Physical AI Group. In this role, Katouzian will align Intelβs client computing business with emerging physical AI systems that span robotics, autonomous machines, [β¦]
Read full article at https://wccftech.com/intel-appoints-qualcomm-alex-katouzian-to-lead-client-computing-physical-ai-lip-bu-tan-reshapes-top-ranks/
Veteran game developer and Fallout co-creator Tim Cain has only just recently returned to game development full-time, but he's also kept up his personal YouTube channel, as he promised he would when he re-joined Obsidian Entertainment in December 2025. That's where his latest comments on the state of the industry that are catching several eyes come from, as he shares how the rise of social media influencers and "how the internet changed game design." Cain discusses how he's seen the video games industry, and specifically how the industry portrays video games to its audience. Anyone who follows games knows how [β¦]
Read full article at https://wccftech.com/fallout-co-creator-says-players-look-to-influencers-to-be-told-how-to-think/
AMD's immense success for its CPUs and GPUs in the AI segments will be a key driver for the company in the current year & the years ahead. AMD Is Expected To Ship Nearly 1.9 Million AI GPUs By 2027, While It's Share In China Will Be Larger Than NVIDIA's Intel, gaining momentum this quarter, thanks to Agentic AI's reliance on CPUs, has given us a teaser of what to expect from AMD's upcoming earnings. As per UBS, AMD isn't as constrained as Intel in the CPU segment and is anticipated to grow its Server CPU revenue by 80% this [β¦]
Read full article at https://wccftech.com/amd-server-cpu-revenue-to-surge-80-percent-2026-estimated-1-9m-ai-gpus-shipping-by-2027/
Emotions change day to day, and that's okay. Sometimes it's difficult, but it always gets betterβyou just need to be present and watch it shift. Uplume is a digital safe space designed to provide hope and acceptance through an aesthetic daily diary. Instead of tracking productivity, users check in with up to three feelings a day, blending them into beautiful, fluid 2D auras. You can discover emotional patterns, mix feelings, and build a quiet digital universe with your closest friends. It is a gentle reminder that every day has its colors, and your sky is always growing.
PartyInvitation.ai is a free AI-powered party invitation and online RSVP platform. Describe your party theme, and AI generates a unique invitation card with a built-in QR code in under a minute. Guests scan to RSVP instantly with no app or signup needed. It supports over 38 event types from birthdays to holiday parties, with optional gift registry and potluck sign-up. You can print or share invitations digitally, free to start.
The Google for Startups Accelerator offers mentorship and technical support to companies using AI to disrupt the energy sector.Thereβs a fundamental battle happening in search right now.
Now AI has walked into the room, kicked over the furniture, eaten half the traffic, and exposed the real problem.
Search still matters. The global economy runs on people looking, comparing, buying, and solving problems through it. But the industry has a marketing problem.
And it shows. Too many SEOs have lost the plot on why people choose, remember, trust, search for, recommend, and buy from brands. AI search is making that ignorance harder to hide. Thatβs why brand authority wins β but not in the way most SEO dashboards suggest.
Before we get to AI, we need to define what topical authority was meant to be. At its best, itβs simple.Β
You publish useful work, create evidence, and share expertise. Others cite you, journalists mention you, communities discuss you, and customers search for you. Over time, your brand becomes associated with the topic.Β Thatβs authority. Itβs also brand building.
The problem is that much of the SEO industry hasnβt sold it that way. In practice, topical authority became a convenient commercial wrapper for content production.
SEO retainers were built around three pillars: technical, content, and links.Β Technical SEO became more specialized. Links were outsourced, packaged, renamed, earned through digital PR, or bought in one way or another.Β
Content, meanwhile, remained the dependable agency engine β easy to sell, scope, and report. Think 4-8 blog posts a month, a topical map, a content hub, a cluster, a pillar page, and another 2,000 words on something nobody asked to read.
This wasnβt always wrong. In the pre-AI search world, content had real labor behind it. A decent article required research, writing, editing, optimization, internal linking, and promotion. That work had value. Good content could rank, attract links, build email lists, support commercial pages, and create some advertising effect through exposure.
Back in the day, we built what were often called power pages β strategic assets designed to earn links, rank, get shared, and pass equity to commercial pages. They had a purpose. They werenβt created just because the spreadsheet had another empty cell.
Topical authority changed that logic. It turned βletβs create something worth citingβ into βletβs cover every possible keyword in the topic map and hope Google mistakes volume for expertise.β That was the original sin.
The SEO toolkit you know, plus the AI visibility data you need.
Authority isnβt created by what you publish on your own site. Itβs created when you become a recognized source.
Former Google engineer Jun Wu described this in terms of βmention informationβ β how search engines analyze natural language, identify topic phrases and sources, cluster related terms, and map associations between sources and topics.Β
In plain English, they can recognize when certain brands, people, domains, and entities are repeatedly mentioned in relation to specific topics.
Today, SEOs call that brand co-occurrence. The idea isnβt new. When authoritative sites, journalists, communities, reviewers, experts, and customers consistently mention your brand in relation to a topic, you become associated with it β not because you published hundreds of near-identical articles, but because the wider web treats you as relevant.
Topical coverage is what you say about yourself. Authority is what the market says about you. AI search makes that difference hard to ignore.
Suppose you want to become an authority in the smash burger industry. You probably donβt, but some topical authority consultant calling themselves a βsemantic SEOβ is likely pitching it to a fast food brand right now.
An SEO version of topical authority would probably begin with a map:
Thereβs nothing inherently wrong with that. If you run a serious smash burger publication, restaurant group, food brand, or equipment business, some of it might be useful. But authority doesnβt come from publishing those pages.
Real authority looks different. You create original data on the fastest-growing smash burger chains. You publish an index of the best-rated smash burger restaurants in the U.S. and U.K. You interview chefs, test meat blends, and produce videos people actually watch.Β
You become a source journalists use when covering the category. Food creators reference your data. Restaurant owners subscribe to your newsletter. People search for your brand plus βsmash burger report.β
Thatβs topical authority. Itβs also brand authority.
The thin SEO version is publishing thousands of keyword pages and internally linking them until your CMS starts begging for death. The real version is becoming known.
The old commercial defense of topical authority was traffic.
Brands didnβt hire search marketers because they had a deep spiritual yearning to become encyclopedias. They hired them for organic revenue growth β to appear when customers searched, and to drive clicks, leads, and sales.
Informational content was sold, in part, as advertising. Someone searches a question, lands on your article, and sees your brand. Maybe they join your email list, return later, or buy.
That model was always more fragile than the industry admitted. Most users donβt sit around thinking about your B2B SaaS platform, your dog food brand, or your running shoe category page.Β
Ask someone to name 10 toothpaste brands, and theyβll struggle, despite a lifetime of exposure. Ask them to recall the last ten TikToks they watched, and watch their face collapse.
Advertising works through memory structures, distinctive assets, repeated exposure, and relevance. A single accidental visit to a generic βwhat isβ article was never the brand-building miracle some content marketers claimed.
Now AI has made the economics worse. For many informational searches, answers are increasingly synthesized before the click. From the userβs point of view, thatβs often a better experience.
My dad is in his 70s. He loves AI Overviews. He doesnβt want to click through three ad-infested recipe pages, dodge newsletter popups, reject cookies, scroll past a life story, and finally find how long to boil an egg. He wants the answer.
Users arenβt mourning your lost organic session. Theyβre getting on with their lives. Thatβs the uncomfortable truth.
If the click disappears, much of the supposed advertising effect of informational content disappears with it β no logo exposure, no distinctive assets, no remarketing pixel, no email capture, and no carefully designed journey. Just your content absorbed into a synthesized answer, and maybe a small source link on the side.
This brings us to another emerging industry obsession: AI citations.Β
The small source boxes in ChatGPT, Gemini, Perplexity, AI Overviews, and other AI search experiences are being treated as the new holy metric. Agencies, tools, and consultants are already building around it.
The SEO industry loves a single metric β domain authority, traffic, keyword positions, share of voice, and now AI visibility. The problem is that an AI citation isnβt the same as a human citation.
An AI citation is often a helpful link β a reference, a retrieval artifact. Itβs directionally useful. It can show what sources a system uses to support an answer, and whether your content is accessible, relevant, and being surfaced in certain contexts.
But itβs not the same as:
Human citations are evidence of market recognition. AI citations are evidence of machine retrieval. Donβt confuse the two.
The goal isnβt to be scraped. Itβs to be recommended.
If you want a better proxy for whether your authority is growing, look at brand search.
People search for brands they know, are considering, have bought from, or were recommended. Brand search isnβt perfect, but itβs much closer to commercial reality than counting how often a chatbot footnotes your blog post.
Thatβs why share of search matters. It gives you a directional view of market demand and mental availability. If more people are searching for your brand relative to competitors, something is happening. Your advertising, PR, product, reviews, word of mouth, content, partnerships, social presence, and customer experience are creating demand.
This is where the βbut this is just SEOβ crowd starts clearing its throat.
Itβs not βjust SEO.β Or rather, itβs only SEO if you define it so broadly that it includes every activity that might influence a search result. Thatβs strategic ambiguity. It lets everyone claim they were doing the future all along.
Most SEO retainers werenβt building brand fame. They were producing content, fixing technical issues, buying or earning links, and reporting rankings. Sometimes it worked β sometimes very well. But the average topical authority strategy wasnβt a sophisticated brand visibility program.
None of this means you abandon traditional SEO. Buyer-intent rankings, category pages, product pages, local pages, technical SEO, internal linking, structured data, reviews, and crawlability matter.Β
Search still works as a shelf. Many brands are discovered for the first time in supermarkets. The same is true in Google. If someone searches βemergency locksmith near me,β βbest trail running shoes,β or βmeeting intelligence software,β you want to appear.
Being found still matters, but itβs not the same as being recommended. Traditional SEO helps you get found, while brand authority drives recommendation.Β
AI search shifts the balance toward the latter, synthesizing options, reducing uncertainty, and often naming brands, products, and solutions directly.
Semrush accidentally said the quiet part out loud with its April Foolsβ βBrand Visibility Expertβ stunt, where employees changed their titles on LinkedIn. It was a joke, but not entirely.Β
The company later described AI visibility tools that track brand visibility, mentions, prompts, perception, and competitor presence in AI search. Thatβs where the market is going.
The future of search marketing isnβt just search engine optimization. Itβs brand visibility across the network.
That means increasing meaningful visibility in the places where humans and AI systems encounter information:Β
The web is now the surface, and your website is just one part of it. This is the shift many SEOs donβt want to face. Many are used to optimizing owned pages for search engines.Β
The next era is about optimizing a brandβs presence across the web. That requires different work.
If you want to build brand authority in AI, start with positioning.
These arenβt fluffy brand questions. Theyβre search questions now.
These are performance attributes β the reasons people choose you. Your search strategy should reinforce them.
If your pet food brand specializes in sensitive stomachs, you need to be visible around dog dietary problems β not just on your blog, but in vet commentary, buyer guides, reviews, creator content, journalist coverage, customer stories, comparison pages, and data studies.Β
These are the places where humans and AI systems learn whatβs credible. Thatβs brand authority.
The rule for AI-era content is simple. Every piece of content should have real-world marketing value at publish.
If one person encounters it, they should understand your brand better, feel more positively about it, remember something useful, or be more likely to trust you.
If content only makes sense as an SEO asset after it ranks, itβs probably weak.
This means you stop creating βdeadβ content. Instead:
Do fewer things. Make them better. Promote them harder.
Brands have limited budgets β smaller ones have even less room for waste. Spending thousands on a content library that repeats known information may be less effective than using the same budget to create one excellent data study, seed it with journalists, get creators talking, earn reviews, improve product pages, and run ads that make people search for your brand.
Ask yourself, βWhat use of this budget is most likely to increase brand search, links, mentions, reviews, and recommendations?β
A useful idea from network science applies here: success is driven by fitness multiplied by visibility.
Fitness without visibility is a brilliant brand nobody knows. Visibility without fitness is hype β and it usually collapses.Β
Thatβs how preferential attachment starts. Brands that are talked about get talked about more. Brands that are searched get searched more. Brands that earn links earn more links. Brands that become default sources are cited more often. Brands that sell more get more reviews, more mentions, more data, and more presence.
AI accelerates this dynamic, consuming the web faster than humans and reinforcing those signals at scale. If your brand has dense, consistent, and credible associations with the problems you solve, you reduce uncertainty that youβre a good recommendation.
Track, optimize, and win in Google and AI search from one platform.
Brand authority wins in AI β because real topical authority was always brand authority.
The version of topical authority that deserves to survive is the one where a brand becomes a genuine source in its category β creating useful information, earning mentions, building demand, getting searched, getting cited, and becoming associated with the problems it solves.
The version that deserves to die is the one where a brand publishes endless keyword-targeted sludge and calls the result authority.
AI hasnβt killed SEO. Itβs killed the illusion that mediocrity deserves traffic.
The search marketers who win next wonβt be the ones who publish the most. Theyβll be the ones who make brands more meaningfully visible across the internet. Theyβll understand positioning, PR, content, technical SEO, reviews, creators, category demand, links, mentions, and brand search as one connected system.
The goal isnβt to optimize for search engines, but for the network they use to understand the world.
Build the brand. Make it visible. Make it worth recommending. Everything else is just content with delusions of grandeur.
The other day, I was putting together my version of a Lumascape of answer engine optimization (AEO) tools β Iβm kidding, my computer doesnβt have that kind of bandwidth.
Instead of mapping every tool β which would be outdated in minutes β Iβm focusing on the ones I actually use to grow clientsβ AI search presence.
This is a deliberately short list: four tools I rely on, plus three Iβm testing before adding them to my teamβs stack.
Used thoughtfully, large language model (LLM) assistants are research and analysis tools in their own right. For AEO work specifically, they serve several distinct purposes:Β
The key distinction from passive use is intentionality β using these tools with a defined AEO research methodology rather than ad hoc.
AEO requires a fundamental understanding of how AI systems process and represent information. The most direct way to develop that understanding is to work regularly and analytically within those systems.Β
Querying AI assistants with the same prompts your target audience uses β and carefully analyzing what they return, what sources they cite, what entities they associate, and how they structure answers β gives you peerless ground-level intelligence.
Each platform has its own strengths worth noting:
Firsthand research on your brandβs current AEO status, which includes:
AI assistant outputs are non-deterministic and vary by platform, model version, session context, and even time of day. Manual prompt testing is qualitative and difficult to scale. These tools are best used to build intuition and generate hypotheses, which should then be validated with quantitative data from platforms like Profound.Β
Also worth noting: querying AI systems for competitive research can quickly become a rabbit hole, so before you truly dig in, build a structured testing framework and stick to it.
The SEO toolkit you know, plus the AI visibility data you need.
Profound is purpose-built AEO intelligence that monitors how AI platforms (ChatGPT, Perplexity, Google AI Overviews, Claude, etc.) discover, surface, and cite your brand and content.Β
It also tracks brand mention frequency and sentiment, competitorsβ share of voice, and the specific prompts or query types that trigger your content to appear in AI-generated answers.
If you want to understand where your brand stands in the AI answer ecosystem, itβs currently the most direct way to get that data. It shifts the question from βwhere do we rank?β to βwhen AI answers a question in our category, are we in the answer?β
The cross-platform coverage is the toolβs most distinctive feature. Rather than measuring a single AI engine in isolation, it provides a comparative view across the major platforms simultaneously. The competitive benchmarking functionality is particularly useful: you can see both your own AI citation share and how it stacks up against named competitors. Itβs the kind of context that transforms data into strategy.
Some fundamental capabilities, like:
Itβs a pretty expensive tool. If you want to justify the expense to your C-suite, tell them, βThis will show us exactly where weβre losing to {most hated competitor}.β
The tool is evolving quickly, which it needs to do as the AEO landscape morphs in real time. The data it surfaces reflects AI outputs at the time the query is made. Outputs are inherently variable because AI systems donβt return the same answer to the same prompt every time.
Treat metrics as directional signals and trend data rather than precise, static rankings. It also wonβt tell you why youβre being cited or not. Thatβs on you and your team to analyze.
Google Trends tracks the relative search interest for queries over time, across geographies, and in comparison to related terms. Google Keyword Planner provides search volume estimates and demand forecasting, originally designed for paid search planning but equally useful for organic and AEO strategy.
AEO strategy lives and dies by understanding demand signals. Before optimizing content to appear in AI answers, you need to know what questions people are actually asking, how that demand is trending, and whether the topic has enough volume to warrant investment.Β
Googleβs tools remain the most reliable source of this data at scale β and crucially, they reflect the same underlying search behavior that feeds into AI engine training data and query patterns.
Google Trends is uniquely powerful for directional trend analysis. It doesnβt give you absolute volume, but it gives you relative momentum β which is often more strategically valuable when youβre trying to anticipate where audience interest is heading rather than just where it has been.
For AEO specifically, rising query trends can signal emerging answer opportunities for you to address before your competitors do.Β
In my experience, Keyword Plannerβs forecasting features are underused. They can help you prioritize content investment based on projected demand rather than historical data alone.
Build a truly dynamic AEO strategy in which you:
As you probably noticed when I recommended those tools, neither reflects AI-native query behavior directly. They measure traditional search, not prompts submitted to ChatGPT or Perplexity.Β
As information-seeking behavior shifts toward AI interfaces, these tools will increasingly undercount true demand. Use them as a strong proxy and directional guide, not as a complete picture.
Worth noting: Keyword Planner also requires an active Google Ads account, and volume estimates in low-competition or niche categories can be imprecise.
Google Search Console (GSC) provides direct data on how your site performs in Google Search: which queries trigger impressions, click-through rates, average positions, and indexing status.Β
Google Analytics 4 (GA4) tracks on-site behavior β how users arrive, what they do, how long they stay, and where they exit β including referral traffic sources that reveal whether visitors are arriving from AI-adjacent platforms.
For AEO practitioners, these tools serve critical diagnostic functions.
GSC tells you whether the content youβre optimizing for AI citation is also performing in traditional search, which matters because Google AI Overviews and traditional organic results draw from overlapping content pools.
GA4βs referral traffic data is increasingly important for detecting direct traffic from AI platforms: as users click through citations in tools like Perplexity or ChatGPTβs browsing mode, that activity shows up as referral or direct traffic. Thatβs worth segmenting and monitoring, even if, given the scorching rise of zero-click activity, it paints a very incomplete picture of your AEO impact.
GSCβs query data is irreplaceable. No third-party tool has access to the same level of Google-sourced search performance data. The ability to see exactly which queries are driving impressions (even without clicks) is foundational for identifying content that has topical authority but may not be converting visibility into AI citations.Β
GA4βs cross-channel attribution and audience analysis capabilities help you understand where AEO-driven traffic comes from and what that traffic does when it arrives β which is the commercial case for the discipline.
Develop a true understanding of AEO business impact β and AEO blockers β by:
GSC data has well-documented limitations: it samples at scale, attribution can be murky, and data is typically available with a 48-72 hour lag. Critically, it only reflects Google. It tells you nothing about how you perform in Bing-powered AI search or standalone AI platforms.Β
GA4 still has UX rough edges, so youβll need to confirm that your event tracking and conversion configuration is solid before drawing strategic conclusions from the data.
That shortlist leaves, oh, thousands of tools left to consider. I recommend putting these on your radar and testing them to gauge their value as the AEO ecosystem develops.
AI Trust Signals focuses on the credibility and trustworthiness signals that influence whether AI systems choose to cite a source.
This is an emerging and underexplored dimension of AEO: it goes upstream from content relevance and helps brands understand whether an AI system βtrustsβ a domain enough to surface it as an authoritative reference. Itβs worth monitoring as the understanding of AI citation mechanics matures.
Ahrefs is a mature SEO platform with deep backlink analysis, content gap tooling, site auditing, and keyword research capabilities.Β
Its relevance to AEO is primarily indirect, but itβs significant: authority signals, including referring domain quality and topical authority depth, are widely believed to influence AI citation likelihood. Ahrefs is a benchmark tool for understanding and building that authority infrastructure.
Its Content Explorer is also a practical tool for identifying high-performing content in your category that AI systems are likely to draw from.
Roadway AI positions itself as an AI-native platform with a focus on scaling growth marketing activities. Where it helps is building agents that can help attribute AEO signals into revenue, so you can better understand impact.Β
As a newer entrant, itβs worth evaluating as part of a toolkit audit, especially if youβre looking for tooling built specifically for AEO use cases. The category is moving fast, and platforms like Roadway AI may gain significant mindshare within 12 months, which also means more competitors are coming soon.
Track, optimize, and win in Google and AI search from one platform.
AEO tooling is still catching up to AEO as a discipline, which will likely be the dynamic for the next few years, at least.
Everything is changing so fast, and AI-driven discovery is evolving as users adopt new behaviors that vary by vertical. What matters is consistently applied measurement, strong analysis, and testing that lead to actionable insights.
You wonβt get your setup perfect. Like much of marketing, solidly directional is probably as good as youβre going to get. With any tool, if you can explain and measure how it improves your AEO efforts, thatβs a great start.Β
Before you sign any contracts, see if you can find an industry colleague with real-life experience using the tool, and ask them for their take. Unless theyβre staunch advocates, chances are you can either find an alternative that does the same thing better or cheaper, or you can wait another month for one to emerge.
DDR6 memory development is in full swing with major DRAM makers including Samsung, SK Hynix & Micron all racing towards completion to meet growing AI demands. The Next Chapter of DRAM Just Kicked off With Samsung, SK Hynix & Micron All In The Race To Complete DDR6 Development & Deployment By 2028-2029 As AI continues to demand speedier and higher-capacity memory, DRAM makers are now initiating the development plan for next-gen standards. Last year, JEDEC announced the LPDDR6 standard, bringing improved performance and efficiency versus LPDDR5. LPDDR memory has already become the favorite of the AI industry, offering faster speeds, [β¦]
Read full article at https://wccftech.com/ddr6-memory-development-kicks-off-samsung-sk-hynix-micron-race-to-commercialization-by-2028-2029/
Samsung continues to improve its 2nm GAA process with its second iteration, which will be utilized for the Exynos 2700, enabling the company to introduce the direct successor to the Exynos 2600. While the upcoming chipsetβs release will serve to reduce the Korean giantβs dependency on Qualcomm and lower its expenditure on outsourced silicon, it can also help restore its non-memory and semiconductor businesses, which are currently facing a 1 trillion won deficit ($679.21 million). Analysts predict that, depending on the Exynos 2700βs capabilities, Samsung should be able to reduce its deficit to around $543.47 million During the first quarter [β¦]
Read full article at https://wccftech.com/exynos-2700-can-turn-around-non-memory-and-semiconductor-business-for-samsung/
Startup Factory is an autonomous venture studio that helps founders generate ideas, validate demand, build products, and run go-to-market to first revenue. You set strategy and choose bets; the system handles research, coding, infrastructure, deployment, and launch. It scans markets for high-potential gaps, creates landing pages and brand assets, and executes targeted outreach and content to acquire early customers. Operate a portfolio of experiments, kill weak ideas fast, and reach paying users in days.
Every time you start a new AI chat, it has no idea what you're building. You have to re-explain everything β the project, the decisions, what didn't work last week. Every session is the same.
ArcBrain fixes that. It runs in the background, watches your sessions across Cursor, VS Code Copilot, Claude, and Windsurf, and builds a persistent memory of your project. Every new chat loads what you've already figured out. Everything stays on your machine β no cloud, no data leaves your system. Switch between programs like VS Code and Claude desktop, and Claude knows what you were just doing.
Crypto signal providers can delete losing trades and fake their stats, manipulating their track record. Gloriam Insights tracks trading signals in real time and verifies every prediction against live exchange data, providing real statistics for each individual signal and trader. Compare signal providers by profit factor, expectancy, win rate, target-level success, streaks, and intraday efficiency so you can follow traders with verifiable results.
The conversation has shifted. Weβre spending less time optimizing for clicks and more time trying to fix the AI ROI story. AI now sits at the center of discovery, shaping what gets seen, summarized, and cited.
Hereβs whatβs working right now, what your peers are doing, and why SMX Advanced will feel different this year.
The foundation of any serious 2026 content strategy has to start with Rand Fishkinβs landmark March 2026 study, βInfluence Happens Everywhere,β an analysis of the 5,000 most-visited sites on both mobile and desktop.
The finding that rattled the industry: while Google still commands 73% of search traffic, search itself is merely a response to influence created elsewhere.
People donβt wake up and search for a brand in a vacuum. They read, watch, and listen across a fragmented web of news, social media, and niche communities before they ever hit a search bar.
AI tools, despite their rapid growth, still account for a fraction of total web visits compared to the βbig incumbents.β But the trajectory is unmistakable.
The fundamental problem with attribution in 2026 is that search gets over-credited because it captures demand at the finish line, while the fragmented channels β email, news, specialized content β get under-credited for creating that demand in the first place.Β
When creating content, your job is to win the influence phase so thoroughly that when a user eventually turns to an AI assistant or a search bar, your brand is the only logical answer.
That framing is the strategic backbone behind sessions at the upcoming SMX Advanced in Boston, June 3-5, and the lens through which your entire editorial calendar should be rewritten.
The SEO toolkit you know, plus the AI visibility data you need.
Before we discuss tactics, itβs worth pausing to note that this publicationβs own contributor base has been sounding the alarm in complementary ways. Read them together and a clear picture emerges.
Dave Davies, principal SEO manager at Weights & Biases and a regular SMX Advanced speaker, published a rigorous piece in December 2025, βMentions, citations, and clicks: Your 2026 content strategy.βΒ
Drawing on Siege Mediaβs two-year content performance study covering more than 7.2 million sessions, Grow and Convertβs conversion research, and Seer Interactiveβs AI Overview findings, Davies made the case that the metrics weβve lived by β impressions, sessions, CTR β βno longer tell the full story.βΒ
Mentions, citations, and structured visibility signals, he argued, are becoming the new levers of trust and the path to revenue.
Carolyn Shelby, who appeared in a recent SMX Munich 2026 recap for her session βInside Googleβs Head,β crystallized what many of us have only half-articulated: AI doesnβt discover new brands β it selects from known entities.Β
The implications are stark. If you havenβt built entity recognition across the webβs key reference points β Wikipedia, Reddit, LinkedIn, authoritative press coverage β you donβt get selected.Β
My own October 2025 piece for this publication compared how ChatGPT, Perplexity, Gemini, Claude, and DeepSeek differ in their data sources, live web use, and citation rules. The conclusion I reached then is truer today: a single-platform AI strategy isnβt a strategy. Each model has different retrieval logic, different trust signals, and different recency weighting.Β
Jordan Koene made the same point in January 2026, noting that different LLMs win different jobs. This heterogeneity is the fundamental reason why βwrite good contentβ is both correct and insufficient as advice.
In 2024, we were impressed if an AI tool could write a decent 500-word blog post. Today, writing is the least interesting thing AI does.
Jasperβs 2026 Enterprise Suite is a useful illustration. It doesnβt just draft text, it:
We have moved from βHelp me write thisβ to βHelp me dominate this topic.β
But tools donβt solve strategy problems. The harder question is βwhat should the content actually say?β AI canβt produce the original research, the proprietary case study, or the hard-won perspective that makes an LLM choose you over a dozen lookalike alternatives.
This is why the most interesting SMX Advanced session on content this year may be the one by Purna Virji of LinkedIn, who opens the conference with a keynote on fixing the broken AI ROI story before budgets get cut.Β
Her argument β that AI investment must generate measurable business outcomes βat the P&L level,β not just activity, efficiency, or content volume β is a direct challenge to teams that have been celebrating output metrics while their revenue dashboards flatline.
Perhaps the most significant platform shift for content creators in 2026 was Google moving Google Vids out of its Workspace-only silo. You can now create, edit, and share videos at no cost directly within the Google ecosystem, powered by the Veo 3 generative model.
For years, video production was protected by a high barrier to entry: expensive tools, specialist skills, and days of editing time. Google Vids collapses that barrier. Drop a Google Doc or a URL into the βHelp me createβ prompt, and you get a full-motion storyboard with AI-generated voiceovers, licensed music, and transitions in minutes.
The practical consequences are arriving fast:
The strategic implication is the same as it was for text: AI tools lower the floor but raise the bar. Every competitor now has access to cheap video. But who has something worth saying in that video?
Depending on which Search Engine Land article you read in the past few weeks, the dominant framework for surviving this shift is either generative engine optimization (GEO) or answer engine optimization (AEO).
A growing number of contributors argue these terms are marketing noise for what is, at bottom, just good search everywhere optimization plus structured data plus earned media.
That debate is genuinely worth having, and it will be had at SMX Advanced. But for the practitioner who needs to make decisions next week, hereβs what the evidence actually supports:
The practical translation of all of this:
As AI-generated content reaches its peak volume, the value of the human voice has skyrocketed β but not for the reasons most think-piece writers suggest.
The standard argument runs like this:Β
Thatβs partially true, but it understates the mechanism. The deeper reason human-authored content is winning in AI-mediated search is structural.Β
Human authors whoβve built genuine reputations across years of bylined, cited, and cross-referenced work have, in effect, built entity graphs that AI systems can navigate. That isnβt something a prompt can replicate.
The classic example: an AI-generated 2026 review of a new electric vehicle might be factually flawless, listing every spec and battery range. But it loses to a human-authored piece that says, βI drove this through a New England blizzard and the door handle froze shut.βΒ
AI canβt freeze. It canβt feel frustration. It canβt have a bad morning. Those human frictions are now genuinely valuable SEO assets β not because theyβre charming, but because no language model can fabricate them with any credibility.
Readers, trained by years of exposure to AI content, have developed a reliable instinct for the difference.
The Siege Media data Davies cited adds a quantitative dimension: across 7.2 million sessions, the content that earned sustained citations and conversions shared a consistent profile β original data, expert voice, and clear structure that an AI system could extract and attribute. Volume without those properties is, as the headline puts it, just noise.
The SMX Advanced agenda is the clearest available signal of where the practitioner community thinks the critical problems are right now. A few sessions deserve particular attention from anyone focused on content creation.
Virjiβs keynote, βYour AI ROI story is broken: How to fix it before budgets get cut,β opens Day 2. Virji isnβt arguing that AI investment is wrong. Sheβs arguing that almost every organization is measuring it incorrectly β and that the correction required is organizational, not tactical.
Daviesβ session, βPredicting and influencing AI citations with retrieval signals,β on June 4, is the direct technical counterpart to the strategic framing above. If Virji is asking βwhat does success mean,β Davies is asking βhow do you engineer it.βΒ
SMX Master Classes ran in April, and SMX Next follows in November. If thereβs a throughline across the entire 2026 SMX calendar, itβs this: the search marketing community has collectively decided that the era of isolated channel optimization is over. Content, paid, technical, and brand are now one discipline, or they are failing disciplines.
Broad strategic advice is easy to nod at and ignore. Here is the specific and uncomfortable version:
Track, optimize, and win in Google and AI search from one platform.
The age of the proxy is over. You can no longer hide behind a ghostwriter or a simple prompt and expect to build a brand. But the deeper truth β the one that doesnβt make it into most AI content trend pieces β is that this transformation benefits people whoβve been doing the hard work all along.
If youβve been building genuine expertise, publishing original data, earning bylines in authoritative publications, and cultivating real presence in the communities where your customers actually talk β then you already have most of what you need. The AI infrastructure of 2026 is, in many ways, a system that rewards exactly the things good content has always required.
The difference is that the competition is now generating plausible-sounding content on a scale that would have been impossible to imagine four years ago. Being good isnβt enough to stand out.Β
You have to be citable, structured, and present in all the right places at precisely the right time β which is a harder, more interesting, and ultimately more durable strategic problem than keyword density ever was.
See you in Boston.
MSI has built a Limited Edition GPU for The Mandalorian and Grogu MSI Germany has started to tease a new Limited Edition RTX 5080 graphics card. This new GPU will be themed around The Mandalorian and Grogu, the newest Star Wars movie. The film will be coming to cinemas on May 22nd, with Jon Favreau [β¦]
The post MSI teases The Mandalorian and Grogu RTX 5080 GPU appeared first on OC3D.
ASUS is planning to limit the production of its RTX 5070 Ti GPUs and prioritize the higher-end RTX 5080 models in its place. ASUS Prioritizes Higher-End RTX 5080 GPUs By Limiting Other 16 GB Models, Such As The RTX 5070 Ti While NVIDIA has confirmed that production across all RTX 50 GPUs remains stable, AIBs are doing things differently on their end. As per industry sources quoted by Channel Gate, it looks like ASUS is making some significant changes to its GPU allocation, where it will prioritize higher-end 16 GB graphics cards while limiting the supply of RTX 5070 Ti [β¦]
Read full article at https://wccftech.com/asus-starves-the-rtx-5070-ti-as-memory-shortages-force-a-pivot-toward-the-more-profitable-rtx-5080/
Long-time gamers know all too well that Nintendo has a rather unique policy when it comes to discounts for its exclusive games: they rarely, if ever, exist. Most of the time, you'll see Nintendo titles keeping their full price even years after their release, whereas every other platform, be it other consoles from Sony and Microsoft or PC itself, applies regular discounts for even the biggest games some time after their original launch. Former Nintendo of America president and CEO Reggie Fils-AimΓ© provided his own explanation for why that's the case. In a recent talk with games analyst Joost Van [β¦]
Read full article at https://wccftech.com/reggie-fils-aime-nintendo-full-price-kyoto-craftsmanship/
AMD's upcoming Ryzen AI 5 435G Desktop APU has leaked out, showcasing benchmark performance similar to Ryzen 8000G APUs. AMD Ryzen AI 400 Desktop APUs Bring The Latest Architectures To AM5 Platforms, Ryzen AI 5 435G Shows Similar Performance As 8600G The AMD Ryzen AI 400 Desktop APUs will be launching soon, bringing up to 8 "Zen 5" CPU cores, up to 8 "RDNA 3.5" GPU cores, and a 50 TOPS NPU. They don't feature the higher-end Strix/Gorgon specifications such as up to 12 "Zen 5" CPU cores, and 16 RDNA 3.5 GPU cores, but they do feature a modern [β¦]
Read full article at https://wccftech.com/amd-ryzen-ai-5-435g-already-matches-ryzen-5-8600g-benchmark-leak/
Resident Evil Requiem running with NVIDIA DLSS 5 was among the most controversial showcases of the upcoming technology, if not the most controversial, as it seemed to alter Grace's character design significantly. Speaking with Eurogamer, Producer Masato Kumazawa refused to comment directly on the team's involvement in the controversial showcase, but what has been said suggests how the developer will place any tech that could alter artistic intent under heavier scrutiny in the future. "The fact a lot of players commented they really liked the original design of Grace and didn't want to see it changed was a positive," Kumazawa-san [β¦]
Read full article at https://wccftech.com/resident-evil-requiem-producer-nvidia-dlss-5-reaction-louder-words/
Google's Director of Software Engineering recommended using AI to boost providing value and said, "clearly, this is something we can advise."
The post Google Advises Using AI In Best Possible Way For AI Search appeared first on Search Engine Journal.
DLSS 4.5 Dynamic Frame Generation has arrived in Crimson Desert With Crimson Desert update 1.05, the game now supports DLSS Dynamic Frame Generation on PC. This appears to be a first for PC games, as until now, DLSS Dynamic Frame Generation has only been available in games through Nvidia App game overrides. DLSS Dynamic Frame [β¦]
The post Crimson Desert gains DLSS Dynamic Frame Generation support on PC appeared first on OC3D.
The launch of the PlayStation 5 Pro marked the debut of AI-powered upscaling in the console space with PSSR. While the upscaler's latest version significantly improves image quality over its launch iteration, there's a very strong chance that, on PlayStation 6, the upscaler will also deliver AI-powered frame generation, judging from the LinkedIn profile of a Senior Research Scientist at Sony Interactive Entertainment. As spotted by MP1st, Ayan Kumar Bhunia has been working on Machine Learning and Computer Vision for SIE since December 2023. One of the highlights of their experience at the company is having "spearheaded core research behind [β¦]
Read full article at https://wccftech.com/playstation-6-pssr-frame-gen-doubles-down/
It looks like Take-Two and Rockstar Games are both pushing to avoid a third GTA 6 delay. Just last week, Take-Two CEO Strauss Zelnick shrugged off delay rumors, pointing out that many people will likely take a sick day on November 19, the current release date for Grand Theft Auto 6. The toll of this final push, however, may weigh heavily on employees. On Glassdoor, a website that allows verified employees to anonymously publish reviews of their own companies, two reviews were posted last week noting this very issue. The first one went live on April 30. A former game [β¦]
Read full article at https://wccftech.com/gta-6-crunch-rockstar-qa-november-deadline/
RealtyKit bundles AI prompts, templates, and scripts that help real estate agents create listing descriptions, stage photos, nurture leads, and film social videos faster. Paste property details to get MLS-ready copy, use over 200 Midjourney and ChatGPT staging prompts, and add 52-week email sequences to your CRM. The vault delivers viral TikTok/Reel scripts plus FSBO and expired listing scripts, with instant digital access and lifetime updates. It works with ChatGPT, Midjourney, and other models, turning hours of work into seconds.
AgentSolar is a data-driven AI platform that helps homeowners find the right solar solution at the right price. Trained on millions of solar quotes, it sets fair prices, analyzes quotes, benchmarks them against real market data, and can negotiate better deals so you donβt overpay.
An embeddable store locator for brands selling through retail partners. It works on any website via a single script tag. Every customer search is captured automaticallyβcity, product, and retailerβand shown in an analytics dashboard that maps demand and identifies where retail coverage is thin. Features include full brand customization, product availability filtering, retailer chain filtering with logos, pre-filtered campaign URLs, a Store Data API, and automatic Google Analytics tracking. It can be live in days.
Preserve useful answers, corrections, and context as memory
AI chatbot trained on Brazil's Central Bank regulations
Animated companions for your Codex workflow
Get your trading card based on your CC & codex usage
Track prices on stores like Amazon, eBay, & AliExpress
Pre-Modeled Infra & Client SDKs for User-Powered Products.
Your personal AI assistant, native to your desktop
Branded team headshots in one drop
Agent Teams You Can Actually Delegate To
Your website analytics in your pocket
Login