Resident Evil’s getting a new live-action film The Resident Evil series is incredible, at least when it comes to video games. When it comes to movies, especially live-action ones, the series is very hit-or-miss. This year, a new live-action Resident Evil movie is in the works, directed by Zach Cregger, the director of the critically […]
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I’ve built 10+ SEO agent skills in 34 days. Six worked on the first try. The other four taught me everything I’m about to show you about the folder structure most LinkedIn posts about AI SEO skills gloss over.
What makes these agents reliable isn’t better prompts. It’s the architecture behind them. Here’s how to build an agent from scratch, test it, fix it, and ship it with confidence.
Here’s what a typical “AI SEO prompt” looks like on LinkedIn:
LoginYou are an SEO expert. Analyze the following website and provide a comprehensive audit with recommendations.That’s it. One prompt. Maybe some formatting instructions. The person posts a screenshot of the output, gets 500 likes, and moves on. The output looks professional. It reads well. It’s also 40% wrong.
I know because I tried this exact approach. Early in the build, I pointed an agent at a website and said, “find SEO issues.” It came back with 20 findings. Eight didn’t exist. The agent had never visited some of the URLs it was reporting on.
Three problems kill single-prompt skills:
If your skill is a prompt in a single file, you don’t have a skill. You have a coin flip.
The SEO toolkit you know, plus the AI visibility data you need.
Every agent in our system has a workspace. Think of it like a new hire’s desk, stocked with everything they need. Here’s what the workspace looks like for the agent that crawls websites and maps their architecture:
agent-workspace/
AGENTS.md instructions, rules, output format
SOUL.md personality, principles, quality bar
scripts/
crawl_site.js tool the agent calls to crawl
parse_sitemap.sh tool to read XML sitemaps
references/
criteria.md what counts as an issue vs noise
gotchas.md known false positives to watch for
memory/
runs.log past execution history
templates/
output.md expected output structureSix components. One prompt file would cover maybe 20% of this.
I wrote thousands of words of methodology into AGENTS.md. Instead of “crawl the site,” I laid out the steps: “Start with the sitemap. If no sitemap exists, check /sitemap.xml, /sitemap_index.xml, and robots.txt for sitemap references.
Respect crawl-delay. Use a browser user-agent string, never a bare request. If you get 403s, note the pattern and try with different headers before reporting it as a block.”
The agent calls node crawl_site.js –url to analyze website data. It doesn’t write curl commands from scratch every time. That’s the difference between giving someone a toolbox and telling them to forge their own wrench.
This contains criteria for what counts as an issue. Known false positives to watch for. Edge cases that took me 20 years to learn. The agent reads these when it encounters something ambiguous.
Here I keep a log of past runs:
The next execution benefits from the last.
This is where I get specific about the output I want: “Use this exact structure. These exact fields. This severity scale.” Output templates are the difference between getting the same quality in run 14 as you did in run 1.
Let me show you exactly how I built the crawler. It maps a site’s architecture, discovers every page, and reports what it finds.
I provided the instruction: “Crawl this website and list all pages.”
The agent wrote its own HTTP requests, used bare curl, and got blocked by the first site it touched. Every modern CDN blocks requests without a browser user-agent string, so it was dead on arrival.
I built crawl_site.js using Playwright. This version used a headless browser and a real user-agent. The agent calls the script instead of writing its own requests.
This worked on small sites, but it crashed on anything over 200 pages. Because there was no rate limiting and no resume capability, it hammered servers until they blocked us.
I added throttling with a two requests per second default and never every two seconds for CDN-protected sites. The agent reads robots.txt and adjusts its speed without asking permission. I also added checkpoint files so a crashed crawl can resume from where it stopped.
This worked on most sites, but it failed on sites that require JavaScript rendering.
This time, I added a browser rendering mode. The agent detects whether a site is a single-page app (React, Next.js, Angular) and automatically switches to full browser rendering.
It also compares rendered HTML against source HTML, and I found real issues this way: Sites where the source HTML was an empty shell but the rendered page was full of content. Google might or might not render it properly. Now we check both.
This version worked on everything, but the output was inconsistent between runs.
For this version, I added templates/output.md with exact fields: URL count, sitemap coverage, blocked paths, response code distribution, render mode used, and issues found. This way every run produces the same structure.
I also added memory/runs.log. The agent appends a summary after every execution. Next time it runs, it reads the log and can compare results, like “Last crawl found 485 pages. This crawl found 487. Two new pages added.”
Version 5 is what we run today. Five iterations in one day of building.
THE CRAWLER'S EVOLUTION
v1: Raw curl → blocked everywhere
v2: Playwright script → crashed on large sites
v3: Rate limiting → couldn't handle JS sites
v4: Browser rendering → inconsistent output
v5: Templates + memory → stable, consistent, reliable
Time: 1 day. Lesson: the first version never works.The pattern is always the same: Start small, hit a wall, fix the wall, hit the next wall.
Five versions in one day doesn’t mean five failures. It means five lessons that are now permanently encoded. I’ve rebuilt delivery systems four times over 20 years. The process doesn’t change. You start with what’s elegant, then reality hits, and you end up with what works.
Tip: Don’t try to build the perfect skill on the first attempt. Build the simplest thing that could possibly work. Run it on real data and watch it fail. The failures tell you exactly what to add next. Every version of our crawler was a direct response to a specific failure. Not a feature we imagined. A problem we hit.
This is the most important architectural decision I made.
When you write “use curl to fetch the sitemap” in your instructions, the agent generates a curl command from scratch every time. Sometimes it adds the right headers. Sometimes it doesn’t. Sometimes it follows redirects. Sometimes it forgets.
When you give the agent a script called parse_sitemap.sh, it calls the script. The script always has the right headers, always follows redirects, and always handles edge cases. The agent’s judgment goes into WHEN to call the tool and WHAT to do with the results. The tool handles HOW.
Our agents have tools for everything:
The agent decides which tools to use and what parameters to set. The crawler chooses its own crawl speed based on what it encounters. It reads robots.txt and adjusts. It has judgment within guardrails.
Think of it this way: You give a new hire a CRM, not instructions on how to build a database. The tools are the CRM. The instructions are the process for using them.
Here’s a mistake I made early: I put everything in AGENTS.md. Every rule. Every edge case. Every gotcha. Thousands of words.
The agent got confused. It had too much context and it started prioritizing obscure edge cases over common tasks. It would spend time checking for hash routing issues on a WordPress blog.
The fix: progressive disclosure.
Core rules that affect the 80% case go in AGENTS.md. This is what the agent needs to know for every single run.
Edge cases go in references/gotchas.md. The agent reads this file when it encounters something ambiguous. Not before every task. Only when it needs it.
Criteria for severity scoring go in references/criteria.md. The agent checks this when it finds an issue and needs to decide how bad it is. Not upfront.
This is the same way a skilled employee operates. They know the core process by heart. They check the handbook when something weird comes up. They don’t re-read the entire handbook before answering every email.
If your agent output is inconsistent but your instructions are detailed, the problem is usually too much context. Agents, like new hires, perform better with clear priorities and a reference shelf than with a 50-page manual they have to digest before every task.
Every one of these lessons cost me hours. They’re now encoded in our agents’ references/gotchas.md files so they can’t happen again.
I asked the research agent to find law firms and count their attorneys. It made every number up. It had never visited any of their websites.
Only ask agents to produce data they can actually fetch and verify. Separate what they know (training data) from what they can prove (fetched data).
This fix I figured out on day one (use a browser user-agent string to avoid CDN blocks) had to be re-taught to every new agent. Day 34, a brand new agent hit the exact same problem.
Agents don’t share memories. Encode shared lessons in a common gotchas file that multiple agents can reference.
The same prompt can result in different field names: “note” vs. “assessment.” “lead_score” vs. “qualification_rating.” If you run it twice, get two different schemas.
The fix: Create strict output templates with exact field names. Not “write a report.” “Use this exact template with these exact fields.”
The first three audits delivered false positives with total confidence.
The fix wasn’t a better prompt. It was a better boss. A dedicated reviewer agent whose only job is to verify everyone else’s work. The same reason code review exists for human developers.
Every modern CDN blocks requests without a browser user-agent string. The crawler learned this on audit number two when an entire site returned 403s.
All it required was a one-line fix, and now it’s in the gotchas file. Every new agent reads it on day one.
Agents love to construct URLs they think should exist: /about-us, /blog, /contact. Half the time, those URLs 404.
My rule is: Fetch the homepage first, read the navigation, follow real links. Never guess.
Agents marked tasks as “done” when posting their findings. Wrong. “Done” means approved. “In review” means waiting for human verification.
This small distinction has a huge impact on workflow clarity when you have 10 agents posting work simultaneously.
“Fintech” is useless for prospecting because it’s too broad. “PI law firms in Houston” works. Every company in a category should directly compete with every other company.
My first attempt at sales categories was “Personal finance & fintech.” A crypto exchange doesn’t compete with a budgeting app. Lesson learned in 20 minutes.
Unless you want fabricated results. I asked an agent to summarize findings from five separate reports into one document. It invented findings that weren’t in any of the source reports.
Always build data compilations programmatically. Script it. Never prompt it.
The research agent tried to call an API we never set up. It assumed we had access because it knew the API existed.
The fix: Be explicit about what tools are available. If a script doesn’t exist in the scripts folder, the agent can’t use it. Boundaries prevent creative failures.
This is counterintuitive. When you’re excited about building, you want to build the workers. The crawler. The analyzers. The fun parts.
Build the reviewer first. Without a review layer, you have no way to measure quality. You ship the first audit and it looks great. But 40% of the findings are wrong. You don’t know that until a client or a colleague spots it.
Our review agent reads every finding from every specialist agent. It checks:
That single agent was the biggest quality improvement I made. Bigger than any prompt tweak. Bigger than any new tool.
The human approval rate across 270 internal linking recommendations: 99.6%. That number exists because a reviewer verifies every single one.
I’ve seen the same pattern with human SEO teams for 20 years. The teams that produce great work aren’t the ones with the best analysts. They’re the ones with the best review process. The analysis is table stakes. The review is the product.
BUILD ORDER (WHAT I LEARNED THE HARD WAY)
What I did first: Build workers → Ship output → Discover quality problems → Build reviewer
What I should have done: Build reviewer → Build workers → Ship reviewed output → Iterate both
The reviewer defines quality. Build it first. Everything else gets measured against it.Tip: If you’re building multiple agents, the reviewer should be the first agent you build. Define what “good output” looks like before you build the thing that produces output. Otherwise, you’re shipping hallucinations with formatting. I learned this across three audits that were embarrassing in hindsight.
The reviewer catches technical errors. But there’s a higher bar than “technically correct.”
We have a real SEO agency with real clients and a team with 50 years of combined experience. Every agent finding gets validated against one question: “Would we stake our reputation on this?”
Would we actually send this to a client, put our name on the report, and tell the developer to build it?
Below are four tests we use for every finding:
This is our unfair advantage. We’re not building agents in a vacuum. Most people building AI SEO tools have never run a real audit. They don’t know what “good” looks like. We do. We’ve been delivering it for 20 years with real clients. That’s why our approval rate is 99.6%.
You don’t train an agent on real client sites. You build a test environment where you KNOW the answers. We built two sandbox websites with SEO issues we planted on purpose:
The training loop:
Think of it like a driving test course. Every accident on real roads becomes a new obstacle on the course. New drivers face every known challenge before they hit the highway.
The sandbox is a living test suite. Every verified issue from a real audit gets baked back in. It only gets harder. The agents only get better.
Nobody writes about this because it’s boring. But consistency is what separates a demo from a product.
Three things that make output consistent:
If your agent output looks different every run, you need a template file, not a better prompt. I cannot stress this enough. The single fastest way to improve quality for any agent is a strict output template.
A quick note on infrastructure, because the tools matter.
Our agents run on OpenClaw. It’s the runtime that handles wake-ups, sessions, memory, and tool routing. Think of it as the operating system the agents run on. When an agent finishes one task and needs to pick up the next, OpenClaw handles that transition. When an agent needs to remember what it did last session, OpenClaw provides that memory.
Paperclip is the company OS. Org charts, goals, issue tracking, task assignments. It’s where agents coordinate. When the crawler finishes mapping a site and needs to hand off to the specialist agents, Paperclip manages that handoff through its issue system. Agents create tasks for each other. Auto-wake on assignment.
Claude Code is the builder. Every script, every agent instruction file, every tool was built with Claude Code running Opus 4.6. I’m a vibe coder with 20 years of SEO expertise and zero traditional programming training. Claude Code turns domain knowledge into working software.
The combination: OpenClaw runs the agents. Paperclip coordinates them. Claude Code builds everything.
Track, optimize, and win in Google and AI search from one platform.
This process resulted in 14+ audits completed with 12 to 20 developer-ready tickets per audit, including exact URLs and fix instructions. All produced in hours, not weeks.
We have a 99.6% approval rate on internal linking recommendations on 270 links across two sites, verified by a dedicated review process.
We completed more than 80 SEO checks mapped across seven specialist agents. Each check has expected outcomes, evidence requirements, and false positive rules. Every finding is specific (i.e., “the main app JavaScript bundle is 78% unused. Here are the exact files to fix”).
That level of specificity comes from the skill architecture. The folder structure. The tools. The references. The templates. The review layer. Not the prompt.
If you want to build SEO agent skills that actually work, stop writing prompts and start building workspaces. Give your agents tools, not instructions. Test on sandboxes, not clients.
Build the reviewer first. Enforce templates. Log everything. The first version will fail. The fifth version will surprise you.
This is how you turn agent output into something repeatable. The same system produces the same quality — whether it’s the first audit or the 14th — because every step is structured, verified, and encoded.
Not because the AI is smarter. Because the architecture is.
Over the past few years, Performance Max has gone from an opaque experiment to a more capable — though still imperfect — campaign type for B2B marketers.
The fundamentals haven’t changed: skepticism still matters, first-party data is critical, experimentation is non-negotiable, and actionable reporting drives optimization. What has changed is how much better Google has gotten at operationalizing those inputs.
That means your Performance Max strategy needs to adapt. Here are five best practices for running more effective PMax campaigns for B2B today.
In 2022, given the automated nature of PMax campaigns and the aggressive way Google reps were pushing them, I predicted we’d see an accelerated move toward AI integration. That’s certainly played out, probably in part because of competitive pressures introduced by ChatGPT and the like.
AI Max for Search (launched in 2025) and PMax are both being prioritized by Google, and that’s not necessarily a bad thing since Google hasn’t deprecated standard Search campaign for B2B and has provided a slew of helpful updates that make PMax more viable for B2B.
Three updates worth using include:
The SEO toolkit you know, plus the AI visibility data you need.
B2B lead quality in search campaigns has always been a challenge, and PMax’s relative lack of advertiser control makes that challenge tougher. I’ve pushed offline conversion tracking (OCT) since we’ve had that capability, but it’s an absolute non-negotiable for B2B campaigns.
Along with OCT, leverage a relatively new functionality, enhanced conversions for leads, and work around the edges by incorporating reCAPTCHA and testing other mechanisms to reduce PMax spam leads.
Dig deeper: The parts of Performance Max you can actually control
Citing the phase-out of third-party cookies that still hasn’t happened (!), Google officially sunsetted Similar Audiences in 2023, which — well, it was a big loss for advertisers.
To compensate, understand and adapt according to the nature of PMax targeting, which is based on audience signals. Feed the AI high-quality first-party data (CRM lists) and let the algorithm find “lookalikes” through its own internal signals.
CRM lists for B2B are obviously critical, and this should give you even more incentive to clean up and segment CRM data, with audience lists closest to the point of revenue (e.g., SQLs or revenue if you don’t have enough closed-won data to send strong signals), especially valuable for finding high-value new users.
Creative is an important part of the puzzle for PMax. Good creative can prompt the right audience to engage, and great creative can deter the wrong audience from engaging.
Because YouTube is now a massive part of PMax campaigns, video — which has never been a B2B strength — should be prioritized more than ever for performance marketing.
Google has made this easier by adding the ability to build AI-generated assets right in the Google Ads interface. Just recently, they launched an important complementary feature in beta: PMax A/B creative testing to help advertisers understand which creatives are actually driving performance, and to use test-and-control structures to surface winning (and losing) elements.
Dig deeper: Is Google Ads Asset Studio a game changer? Not so fast
A major source of frustration with PMax has been a lack of transparency into results. Over the last few years, Google has introduced reporting updates to address some of those concerns.
Search term insights and auction insights in the Insights tab provide more visibility into performance. Search term insights show how your ads perform for the queries users actually type, including how those ads are being matched and served. This added nuance makes optimization more precise.
Auction insights add competitive context, showing how your campaigns perform against others in the same auctions through metrics like impression share and outranking share.
Finally, asset-level reporting brings visibility to creative performance, with data on impressions, clicks, cost, and conversions for each asset.
Together, these updates give you a clearer view into what’s driving performance — and where to focus optimization efforts.
Track, optimize, and win in Google and AI search from one platform.
Taken together, recent updates make PMax more viable for B2B marketers than it used to be, especially for those with strong first-party data to train bidding algorithms and a need to find new customer pockets.
After more than 10 years in marketing, I still prefer having controllable levers — and I’m not willing to fully trust Google to act more in my (or my clients’) best interests than its own. Use everything at your disposal to make PMax campaigns work for you, and keep an eye out for new features Google releases that can give you more visibility and control over your account performance.
Dig deeper: Auditing and optimizing Google Ads in an age of limited data
Kingdom Come: Deliverance makers Warhorse Studios is indeed working on its next project now that all of the DLC for Kingdom Come: Deliverance 2 is out the door. Unsurprisingly, it'll be another "huge immersive RPG" from the studio, according to the team's content director Ondřej Bittner in a Reddit AMA. But that doesn't totally tell us what the game is. The obvious guess is that it's just the next entry in the Kingdom Come series, but the other popular guess is that the team is working on an RPG set in the Lord of the Rings. That's a rumour that […]
Read full article at https://wccftech.com/kingdom-come-warhorse-studios-working-on-huge-immersive-rpg-lord-of-the-rings-rumour/
JEDEC continues the development of DDR5 MRDIMM memory for next-gen datacenters, now offering increased bandwidth. MRDIMM DDR5 Memory is designed to meet the growing bandwidth & Capacity Demands of AI Datacenters & JEDEC just unleashed its fastest design yet Two years ago, the first DDR5 MRDIMM memory was announced, offering up to 256 GB capacities per module and 8800 MT/s speeds. Now, as AI & datacenter requirements continue to grow, JEDEC is advancing its MRDIMM roadmap ahead with faster modules that operate at speeds of up to 12,800 MT/s, marking a 45% uplift over the initial design. Press Release: JEDEC […]
Read full article at https://wccftech.com/jedec-pushes-ddr5-mrdimm-memory-to-12800-mtps-big-bandwidth-boost-for-ai-datacenters/
The adoption of emergency features on smartphones is made possible thanks to the use of advanced modems, multiple sensors, and improved processing power, but despite Android handsets having access to all three, they are unable to offer the same life-saving additions as Apple quickly enough, which is adversely affecting their market share. According to the latest research, the iPhone maker leads the pack in satellite connectivity, which has become a strong base for getting people out of hairy situations, with the company currently sitting comfortably with a 71.6 percent market share. With nearly one in two smartphones expected to support […]
Read full article at https://wccftech.com/android-smartphone-makers-losing-to-apple-in-satellite-connectivity-market-share/
VoiceDash converts your speech into structured, edited text in real time so you can communicate at the speed of thought. It removes filler words, fixes grammar, and drops your text directly into any app. Use a hotkey, speak naturally, and see clean copy appear on Mac, Windows, Android, and iPhone. Pro features include unlimited words, a personal dictionary, and snippet libraries, with privacy-first design and a free trial to get started.
Google repeats the bounce clicks claim. Alphabet and Microsoft report from the revenue side. More in this week's SEO Pulse.
The post AI Overviews Clicks Get Tested, Earnings Tell Two Stories – SEO Pulse appeared first on Search Engine Journal.
Nvidia’s RTX 3060 12GB will resume production in June, report claims According to a new post on Board Channels (via Videocardz), Nvidia’s RTX 3060 12GB graphics card could return to production in June. The report claims that Nvidia partners like Colorful, ASUS, MSI, and Galax plan to produce new RTX 3060 graphics cards, with mass production starting […]
The post MSI, ASUS, Galax and more are making new RTX 3060 12GB GPUs – report claims appeared first on OC3D.
Programmatic SEO (pSEO) has been viewed with suspicion by the market. For many SEOs, the term is synonymous with low-quality pages, duplicate content, and the old tactic of “find and replace” city names in static templates.
Google’s spam policies on scaled content abuse are clear: generating vast amounts of unoriginal content primarily to manipulate search rankings is a violation.
Modern pSEO replaces mass page generation with an infrastructure that answers thousands of specific search intents with local nuance and semantic depth at a scale that isn’t possible manually.
This blueprint shows how to evolve from syntax-based pSEO (swapping keywords) to semantics-based pSEO (meaning and context), using a methodology we’ve applied to major players in Brazil.
The most common mistake when starting a pSEO project is starting with the template, not the data. The old mindset said: “I have a template for ‘Best Hotel in [City].’ I’ll replicate this for 500 cities.”
The problem? The search intent for “Best Hotel in [Las Vegas]” (focused on nightlife, casinos, and luxury) can be radically different from the intent for “Best Hotel in [Orlando]” (focused on family suites, park shuttles, and pools). The user priorities, amenities sought, and decision-making criteria change completely.
The semantic approach requires us to use AI to granularize content. Instead of just swapping the {{City}} variable, we use LLMs to rewrite entire sections of the page based on the specific travel intent of that destination.
We don’t want to create 1,000 pages that say the same thing. We want 1,000 pages that answer 1,000 unique travel needs while maintaining a scalable technical structure.
The SEO toolkit you know, plus the AI visibility data you need.
Before writing a single line of content, you must answer a critical question: Where do I have permission to rank?
Many pSEO projects fail because they try to cover topics where the domain lacks historical authority. The solution we developed involves a deep analysis of topic clusters based on real Google Search Console (GSC) data, not just third-party search volume.
The authority map methodology works in three stages:
From there, AI suggests themes and direction, taking into account seasonality and brand guide specifications. This approach transforms pSEO from a “gamble” into a tactic of territorial defense and expansion based on proprietary data.
The biggest barrier to AI adoption in enterprise companies is brand consistency. How do you ensure that 500 AI-generated articles don’t sound generic or, even worse, hallucinate information outside the company’s tone of voice?
The answer lies in context governance. Instead of relying on isolated prompts, the pSEO architecture must include a brand guidelines layer that acts as a guardian before text generation. This means systematically injecting:
By centralizing these guidelines in a digital brand guide that feeds all AI agents, we ensure that multiple sites within the same corporate group (such as a retail conglomerate) maintain their distinct verbal identities, even when producing content on the same topic (like Black Friday) simultaneously.
The AI stops being a “junior copywriter” and starts acting as a specialist trained in the company’s culture.
You’ve created 1,000 excellent pages. How do you ensure Google finds and values all of them? The answer isn’t using “related posts” plugins that only look for matching tags. You need to create a strategy based on real data.
You don’t want the user to land on a page and leave. You want to offer the next logical step. Cross-reference search intent with the destination:
Instead of randomness, our analysis works based on semantic meaning. The AI identifies:
The tool suggests links between these pages because the context is relevant, strengthening the site’s Topical Mesh.
In programmatic SEO projects, where site depth can grow rapidly, this automation via vectors is the only way to ensure no good page gets forgotten at the bottom of the index.
This closes the loop of topical authority, ensuring no page generated at scale becomes an orphan page.
Theory is nice, but seeing it in practice is even better. Let’s analyze the case of Ânima Educação, one of the largest private education players in Brazil, with about 310,000 students and 18 higher education institutions.
The National High School Exam (ENEM) is the “Black Friday” of Brazilian education. Search volume explodes in a short period, competition is brutal, and search intents shift rapidly (from “how to study” to “what is my score good for”). Furthermore, Brazil has continental dimensions; the questions of a student in the Northeast are different from those of a student in the extreme South.
Using the semantic pSEO methodology and the brand governance mentioned above, it was possible to structure complete coverage of the candidate journey — from exam preparation to the release of grades.
We ensured that all 18 brands were positioned to answer student questions at the exact moment of the search, respecting local nuances.
Scaling content without scaling technical monitoring is a recipe for disaster. Publishing 500 pages that result in 404 errors, redirect loops, or poor Core Web Vitals (CWV) can destroy the site’s crawl budget.
Modern pSEO requires a layer of real-time technical SEO. It isn’t enough to wait for the monthly report. You need to connect data to the workflow.
The trend now is the use of technical SEO agents — conversational interfaces that allow the professional to ask the data: “Of the 200 pages published today, which ones have indexing issues?” or “Which clusters are suffering from high LCP?”
This closes the cycle:
Track, optimize, and win in Google and AI search from one platform.
Programmatic SEO has ceased to be about volume to become about relevance. Success won’t come from publishing 10,000 pages tomorrow, but from building an infrastructure that delivers genuine value at scale.
You can use this semantic pSEO roadmap to start your transformation:
The future of SEO isn’t about who creates the most content. It’s about who can unite the scale of the machine with the sensitivity of the human to deliver the best answer, at the right moment, for each individual user.
A blind test was conducted by Computer Base, which revealed that gamers often prefer DLSS 4.5 image quality to be superior to FSR 4.1. Out of Seven Games, NVIDIA DLSS 4.5 Wins Six Times in Blind Test Conducted by Computer Base, Suggesting Gamers Believe DLSS 4.5 is Superior to FSR 4.1 NVIDIA DLSS 4.5 is the leading upscaling technology from Team Green, while FSR 4.1 remains the flagship upscaler by Team Red. We have seen how incredibly powerful these upscaling technologies are in terms of visual quality. Unlike previous versions, both offer the best possible visuals through better sharpening, reduction […]
Read full article at https://wccftech.com/nvidia-dlss-4-5-crushes-amd-fsr-4-1-in-blind-test-winning-six-of-seven-games/
NVIDIA pulling out from China's AI market has boosted the share of domestic firms, with Huawei winning the biggest chunk. Huawei's China Market Share in AI to Reach 60% as NVIDIA CEO Confirms Zero Chip Share in China After US Policy Shift The US Government has moved to ban all leading-edge AI chip sales in China. NVIDIA, being the biggest name in the AI industry, has seen its share drop to zero after the policy shift, prompting an increased reliance on domestically produced chips in China. Currently, the situation has prompted China's AI chipmakers to double down on production and […]
Read full article at https://wccftech.com/huawei-biggest-winner-in-china-ai-market-after-nvidia-pullout-60-percent-ai-share-2026/
One of the most popular RTX 30 series GPUs will arrive in nearly two months as NVIDIA's board partners prepare for the launch. MSI, Galax, ASUS, and Colorful to Receive RTX 3060 Chips Soon, As NVIDIA Prepares to Launch the Card in July to Tackle the Shortage As reported by Board Channels, NVIDIA is about to launch the Ampere-based RTX 3060 12 GB GPU in July, and it's not to clear the existing inventory, but to fulfill the current market demand due to GPU shortages. We know that the RAMpocalypse has caused a surge in GPU prices as well, and […]
Read full article at https://wccftech.com/nvidia-rtx-3060-12-gb-to-make-a-comeback-in-july/
This week, Roblox Corporation has unveiled Roblox Reality, an ambitious project that aims to deliver a DLSS 5-like AI powered model to level up the visuals available in the popular game creation platform. In the announcement blog post, Senior Vice President of Engineering Anupam Singh described Roblox Reality as a hybrid architecture that splits responsibilities between two components: the existing Roblox Game Engine (running on cloud servers), which handles all authoritative game logic like physics, collision, state synchronization, and player positions, while a new Video World Model (called "Super Upsampler") runs on edge infrastructure powered by H200/B200-class GPUs and handles the visual output, generating […]
Read full article at https://wccftech.com/roblox-reality-ai-photorealistic-engine-dlss5-integrated/
NVIDIA's CEO has reaffirmed that AI will create hundreds of thousands of jobs, while reacting to the US's policy shift towards China. NVIDIA's China Share Has Dropped To 0, Says Jensen Huang, But Says That AI Will Bring Trillions Into The United States Economy Speaking at the latest episode of "Memos to the President", NVIDIA CEO Jensen Huang once again strengthened the fact that AI will bring a boost to the US economy, rather than destroying existing jobs. This follows Jensen's recent statements on how AI in the Industrial Era of the modern world will bring manufacturing jobs back to […]
Read full article at https://wccftech.com/nvidia-ceo-jensen-pushes-back-on-ai-job-destruction-fears-admits-zero-china-share/
EZ Grader is an online grading calculator for teachers that converts totals and wrong answers into percentages and letter grades in seconds. Enter the number of questions, track wrong responses with a +1 button or keyboard shortcuts, and see the score update instantly with a quick chart for fast reference. Use it on any device to speed through quizzes, tests, and assignments while reducing errors.
SportSignals delivers AI-driven football betting tips, match previews, live scores, and odds comparison across global leagues. It analyzes data to generate predictions and flag value bets, while rankings and a World Cup hub keep you up to speed. Dive into in-depth news, transfer coverage, and resources on odds and bankroll management. Explore player performance valuations in the Market and track results to refine your strategy.
The trial is live, limited to the U.S. for now, and moving faster than you likely expected. ChatGPT ads launched Feb. 9 for logged-in users on Free and Go tiers, with 600+ advertisers already in.
With 800 million weekly active users, a global rollout of ChatGPT ads is a matter of when, not if.
OpenAI has confirmed the next expansion to Australia, New Zealand, and Canada. The latest update from Adthena trialists suggests the UK could see ads as early as mid-May.
We’ve tracked ChatGPT ad placements since rollout. With an index of 50,000+ daily placements across B2B software, ecommerce, fintech, and consumer verticals, we’ve had a front-row view of how this format is evolving. Here’s what we’ve found.
ChatGPT ads appear inline within conversation responses. When you ask something with commercial intent like “best weekend getaway” or “top running shoes under $100,” a sponsored result can appear alongside the AI’s answer, clearly labeled “Sponsored.”
This isn’t a search bar. It’s a conversation. Users arrive already engaged, already researching, often close to a decision.
The format is tighter than traditional search: no sitelinks or extensions — just a headline, short body copy, and a destination.
But here’s what we didn’t expect. Our data shows what we’re calling the Adthena “Double Parked” phenomenon: a single brand appearing twice in the same response.
We spotted New Balance with two separate sponsored placements in one ChatGPT answer. This raises a key question around visibility, frequency, and what it means to own a conversation on this platform.
If you move fast, this is a rare moment: a new format, an uncontested landscape, and data most competitors don’t have yet. Here’s what it shows.
Top-performing brands in ChatGPT don’t repurpose Google ad copy and hope for the best. They write for a conversational, intent-rich environment where users are already halfway through a decision before the ad appears.
Lead with your brand name. Anchor value in specifics. Make low-friction offers central to your creative. If you’re not thinking about context mirroring, you’re leaving performance on the table.
The bigger question is visibility. If your competitors show up in ChatGPT conversations and you don’t, you’re not just missing clicks — you’re missing the conversation.
Knowing the trends is one thing. Knowing what your competitors are doing on your exact prompts is another. That’s the problem we set out to solve.
Right now, ChatGPT ads give you impressions and clicks — nothing more. No competitive context, no prompt-level visibility, no insight into who else appears in the same conversations or where you’re missing coverage. You’re optimizing blind.
Adthena’s ChatGPT Ads Intelligence changes that. Here’s what you get.
The Ads Performance tab gives you a live snapshot of your ChatGPT activity: ad presence rate, top-performing intent group, total impressions, average CTR, and unique competitors detected. The trend chart shows your presence over time so you can clearly see whether you’re gaining or losing momentum.
The Topics and Keywords Analysis view breaks down performance by intent group, showing your ad presence rate against the competitor average. Each group includes a built-in tactical recommendation, so you always know your next move.
The Ads Sampling tab shows all your ChatGPT creatives with their headline, description, image, and format. The insight panel highlights your top-performing creative and surfaces optimization opportunities, like pairing a price anchor with a time-limited offer.
The Competitor Creative Analysis panel breaks down rival ads across your tracked prompts: the images they use, the dominant copy themes, and their format mix. No more guessing what your competition is doing.
The Ads Benchmarking tab shows who’s advertising on your prompts and how their presence changes week to week. The “What changed this week?” feed flags new entrants and share shifts in plain language before your next campaign review.
The Competitor Gap Analysis table shows every prompt where competitors have presence and you don’t, flagged by intent group and competitor count. A clear, prioritized view of where to expand your ChatGPT coverage.
We’re tracking early-stage data from a platform still in limited rollout. As OpenAI expands to new countries and the advertiser base grows, the competitive landscape will shift fast. Brands building their ChatGPT presence now — learning the format, testing creative, mapping competitive gaps — will have a meaningful head start over those who wait.
Don’t let competitors win the first prompt. Join the product waitlist to uncover your ChatGPT ads landscape.
In the meantime, get your ads ready with Adthena’s free ChatGPT AdBridge. Connect your Google Ads account and we’ll build your ChatGPT ads setup with AI-enriched campaigns and smarter negative keywords — delivered to your inbox, ready to import.
Xbox Mode has started rolling out to all Windows 11 PCs Microsoft has officially started rolling out “Xbox Mode” to all Windows 11 PCs, laptops, and tablets in selected regions. This new mode is what Microsoft originally called the “Xbox Full Screen Experience“, which provides a more console-like experience to PC gamers. This mode gives […]
The post Xbox Mode expands to Windows 11 PCs in select markets appeared first on OC3D.
In the past few years, we have seen the number of console exclusives shrink considerably. While Nintendo continued to keep its games confined to its systems, Sony and Microsoft began releasing their tentpole PlayStation and Xbox franchises to PC and other consoles, respectively, signaling that the era of console exclusives was coming to an end. However, both seem to be pivoting away from their multiplatform strategies, and the reason couldn't be clearer: for many gamers, exclusives are the main reason to get a console over another. As spotted by Idle Sloth on Bluesky, The Game Business' Chris Dring recently reported […]
Read full article at https://wccftech.com/playstation-and-xbox-exclusives-remain-reason-gamers-buy-consoles/
With the development of Mortal Kombat 1 winding down, there was no doubt that NetherRealm Studios was hard at work on a new game. In the past, many, including voice actors for Superman and Green Lantern, suggested that the studio's next game would be Injustice 3, and earlier this week, a WB Games Artist listed the game among those they have worked on. However, it seems like the next game from the Mortal Kombat series developer may be more of a DC fighters of sorts, rather than a continuation of the series. Yesterday, known fighting games YouTuber Rooflemonger (who corroborated […]
Read full article at https://wccftech.com/injustice-3-dc-fighter-rebrand/
According to reputable Hollywood online magazine TheWrap, the upcoming Battlefield movie is already locked in what could become the biggest bidding war of the year between almost all the major production studios: Netflix, Warner Bros. Discovery, Amazon MGM Studios, Sony, and Universal. The Battlefield movie adaptation was officially announced last week and already has two big names attached: recent Oscar-winning actor Michael B. Jordan, who will produce and potentially star in the film, and filmmaker Christopher McQuarrie, another Oscar winner who will write and direct. Jordan is known mostly for his roles in Black Panther, Creed, and last year's Sinners. […]
Read full article at https://wccftech.com/battlefield-movie-hollywood-studios-mcquarrie-jordan/
AutoSift lets you search car listings and parts prices across major marketplaces in one place. Enter a year, make, model, and optional filters, and it fetches results from Autotrader, CarGurus, Cars.com, Carvana, TrueCar, Facebook Marketplace, and leading parts retailers like Amazon, eBay, AutoZone, RockAuto, Advance Auto, and O’Reilly. Compare options side by side, verify fitment for your vehicle, and click through to the best deal.
Microsoft’s Spring 2026 Xbox Game Dev update includes an “Introduction to Project Helix” Microsoft is hosting a new “Game Dev Update” event on May 7th, with Xbox calling this event their “first episode”, suggesting that there are more events to come. This developer-focused event will give developers a glimpse at the future of Xbox. This […]
The post Xbox to host “Game Dev Update” event with “Project Helix” introduction appeared first on OC3D.
During Final Fantasy XIV Fan Fest 2026, Game Director and Producer Naoki Yoshida answered questions about the newly announced Nintendo Switch 2 version in a roundtable interview. As reported by IGN, Yoshida-san revealed the technical specs: the game will target 30 frames per second. I've already noticed some comments on the social channels talking about the specs and how does it compare to the other more robust systems… I want to be honest to you, we are really working hard on the optimization for the platform and we are striving to get the best performance. In towns, you may see […]
Read full article at https://wccftech.com/final-fantasy-xiv-switch-2-series-s-frame-rate-joy-con-mouse/
Prop24AI creates custom landing pages for real estate agents using AI, tailored to their city, property type, and target buyer. Each page is delivered as ready-to-use HTML in 24 hours.
Plans start at $59. We serve agents in Norway, the UK, Spain, and the USA. No templates, every page is built from scratch based on your brief.
Storyloft is a writing platform built for authors to draft, revise, design, and publish in one place. It pairs a manuscript editor with focus mode, voice-aware AI editing, notes, and research so you can keep momentum. Create illustrations and covers inside your manuscript, then export to print-ready PDFs and EPUBs with customizable themes. Track goals and streaks, invite beta readers, and manage characters and visuals to keep your book consistent.
TellDone is a voice planning app for iPhone and Apple Watch. Speak naturally and it creates tasks, calendar events, and notes automatically, synced to Todoist, Notion, Things 3, Apple Calendar, Google Tasks, and Reminders. Say "finished the report" and the matching task gets checked off. It supports 60+ languages with mid-sentence switching. The free plan includes 50 notes per month. Paid plans add AI reports, webhooks, and MCP for AI agents.
Laddro helps European job seekers build ATS-optimized resumes, tailor them to job descriptions using AI, generate cover letters, and track applications. It works natively in eight languages. The platform is free to start, GDPR compliant, and built in Germany.
Drop your tasks. AI auto-schedules your whole week.
Draft, edit, and research inside Microsoft Word with AI
Pause media or lock your screen when you step away
Design studio lighter than Figma & more flexible than Canva
Learn ciphers by breaking them
Recruit agents to run your company as a synchronous team
Your AI studio to create hyperrealistic product visuals
Interactive iOS Demo Builder
One workspace for Claude, Codex, Gemini and your stack
Updated: docs support, BYOK, Local AI (Ollama), Windows App
Turn any room into a surround system with your devices
Hide what shouldn’t be seen on your computer
One keystroke blurs everything behind your active window
High-performance, open source, multiplayer code editor
AirDrop for the browser: share files, chat and sync notes
UI Agentic framework for quicker output & less token usage
Have a conversation with your SEO & analytics data
Agentic social media scheduler for agents like OpenClaw
Diagrams that don't look like they were auto-generated
AI agents debate the markets
ConateApp is a Windows chat platform built for gamers who don't want to sacrifice RAM. It uses about 5MB while idle and 120-150MB during active calls, compared to Discord's 781MB even when idle. Build communities with servers, channels, roles, and file uploads—all free. The closed beta launches in 2026, with mobile, macOS, and Linux versions to follow.
The UI is familiar, especially if you’ve used Discord, so you'll navigate easily. It has core features you need, and since it’s early, the developer is reachable. Feature requests are seen and acted on, not lost in a corporate backlog. If something’s missing, just reach out!
Shunshi.AI is an AI-powered BaZi (Chinese Four Pillars of Destiny) reading tool calibrated to true solar time for minute-level accuracy. Enter your birth date and time to get a full chart with plain-language insights on personality, career, wealth, relationships, and yearly fortune. It supports English, Traditional/Simplified Chinese, Japanese, and Korean. Free to start, results in seconds.
LeadHunt is a lead intelligence and outreach platform for local markets. Choose a city and industry, and it scans businesses, runs a 29-point website audit, enriches contacts, and scores every lead from 0 to 100. Launch outreach via email, WhatsApp, SMS, and voice, and track deals in the built-in CRM.
LeadHunt also provides AI call coaching, branded SEO audit PDFs, and open infrastructure you can self-host or use in the managed cloud.
Memory supply constraints aren’t the only problem that Apple is facing, as during its Q2 2026 earnings call, the company revealed it didn’t anticipate agentic AI use cases like OpenClaw would pick up in popularity, causing its Mac mini and Mac Studio stock to run out. Additionally, the company didn’t expect that its aggressive pricing strategy with the MacBook Neo meant that it would run out of advanced chip supply for its most affordable portable Mac. In short, the California-based giant is suffering from a problem its competitors wish they had, but that also means Apple has missed out on potentially millions […]
Read full article at https://wccftech.com/apple-facing-macbook-neo-and-mac-mini-shortages/
Key Person Insurance UK helps businesses compare and understand key person cover from specialist UK providers. Use the calculator to estimate the right cover amount, explore guides on costs, tax treatment, and industry-specific risks, and review life-only or life-plus critical illness options. The site is a comparison and information platform, not an insurer, designed to help directors and founders choose tax-efficient, appropriate protection and reassure lenders and investors.
Brightcast is a hope platform that tracks global progress and positive development across innovation, health, environment, and community. Every story is verified and scored by our proprietary Brightcast Impact Score (BIS). Your reading directly funds real-world projects through Hope Coins. Available on iOS, Android, and web.
The new display allows verified attendees at more than 6,000 universities to connect to dedicated group chats and content feeds.
The platform’s B2B marketing and artificial intelligence-powered recruiter tools helped drive business, while paid video posts grew nearly 30% year over year
The company will allow external providers to plug data into another system, such as Claude or ChatGPT, without using API setups or developer credentials.
The company said the update is the biggest ad system refresh in its history, adding the latest xAI models to help improve targeting and performance.
The platform said the experiment is designed to improve the impact of header images in order to better conform to different device configurations.
The app said it will no longer recommend photos and carousel posts from aggregator accounts and profiles that focus on re-posting.
To no one’s surprise, Apple’s Q2 2026 earnings turned out to be an excellent quarter for the technology giant, but it might not always be sunshine and rainbows going forward, especially during the DRAM crisis, which threatens to crush the stability of the company’s prices, especially iPhones. During the quarterly earnings call, CEO Tim Cook warned that while the Cupertino firm will do its best to avert the problem, there’s a chance Apple may have to throw in the towel and pass the cost increases to customers. Still, the amount of resilience shown by the trillion-dollar entity is certainly praiseworthy. Tim […]
Read full article at https://wccftech.com/apple-ceo-warns-that-iphone-prices-can-rise-due-to-dram-shortage/
MaintainAbility helps homeowners stop guessing and start maintaining. It reads your calendar, checks your local weather forecast, and tells you exactly what to do and when, so nothing slips and nothing gets forced into a bad window. It unifies lawn and household tasks in one place, generates rolling supply lists so you're always prepared, and adapts to your home profile—grass type, climate zone, and home systems—so the plan fits your house.
Hogwarts Legacy is currently free on the Epic Games Store Until May 3rd, Hogwarts Legacy is available for free on PC on the Epic Games Store. This is a full-length RPG set in the Harry Potter Universe, offering gamers a wealth of content to explore. The game is set in the 1800s, long before the […]
The post Hogwarts Legacy is currently free to grab on PC appeared first on OC3D.
Apple was expected to continue to capitalize on its ongoing sales-related momentum during its second fiscal quarter of 2026, courtesy of the inordinately strong demand profile for the iPhone 17 lineup. And, in accordance with those expectations, Apple appears to have largely delivered via another record quarter. Apple earnings highlight for the second fiscal quarter of 2026 Here are the key highlights from Apple's latest quarterly earnings release: For the second fiscal quarter of 2026, Apple earned $111.18 billion in revenue, corresponding to a year-over-year increase of 16.6 percent relative to $95.36 billion that it earned in Q2 2025. Apple […]
Read full article at https://wccftech.com/apple-q2-2026-earnings-iphone-business-just-grew-by-21-7-in-a-single-quarter-services-outpace-mac-ipad-and-wearables-combined/
As memory continues to dominate the AI hardware conversation, a research note from Korea Investment & Securities (KIS) outlines that prices might not drop. Since memory is directly tied to the productivity of an AI GPU, hyperscalers have placed long-term orders for capacity. KIS believes that even if this time period elapses, the impact of the shortage on memory prices might persist due to the chips' ability to drive key metrics of AI GPU performance. Memory Chips' Ability To Drive Up System Level Performance Could Keep Prices High, Says Research Firm The research note explains that since expanding memory capacity […]
Read full article at https://wccftech.com/memory-prices-wont-drop-even-as-shortage-eases-korean-research-firm-warns-hyperscalers-locked-in-long-term/
LemonDash is a free mobile dashboard for Lemon Squeezy store owners. It tracks MRR, revenue, sales, and subscriptions in real time on iOS and Android, and sends instant push alerts on every purchase. Connect your API key to view interactive charts, monitor today’s sales, and browse transactions. Your key is encrypted and no sales data is stored.
The Site Book helps UK construction contractors create RAMS, Construction Phase Plans, COSHH assessments, site inductions, toolbox talks, and method statements in minutes. Enter your project details and it builds compliant documents aligned with CDM 2015 and HSE guidance, ready to download, share, and sign off.
It tracks worker certifications, records inductions, maintains an audit trail, and exports an audit pack. Use one plan for unlimited projects and connect with Google Drive, Xero, and Zapier to fit your workflow.
Microsoft has just commenced the rollout of its Gaming-Focused "Xbox Mode" across all Windows 11 PCs and devices. Windows 11 PCs Will Now Get A Snappier Gaming Interface With Xbox Mode, Now Rolling Out Across All Devices Today, Microsoft has started rolling out its Xbox Game Mode across all Windows 11 PCs, including laptops, desktops, tablets, and more. With Xbox Mode, Windows 11 users can enjoy a console-like gaming interface that is snappier and more intuitive. Xbox mode is designed for the moments when you want your games to take center stage on Windows 11 PCs and handhelds. Inspired by […]
Read full article at https://wccftech.com/microsoft-rolls-out-xbox-mode-to-all-windows-11-pcs/
Marathon, the new extraction shooter from Bungie and its first non-Destiny release since the first Destiny game launched in 2014, has had a middling start, to say the least. While it is praised by critics (myself included), it seemingly hasn't had the commercial success to match, and constant conversation about its concurrent player count on Steam seems to only fuel negative discourse around the game. But a new report has given us a bit more insight into how it's done on the sales charts. Firstly, it's worth noting that while we've seen estimates about how much Marathon has sold, we […]
Read full article at https://wccftech.com/marathon-reportedly-had-2-2-million-players-in-launch-month/
Samsung has officially discontinued older LPDDR4 memory production while hinting at "worse" shortages throughout 2027. Samsung Pulled Out Older Memory Production To Focus On Newer Technologies Required For Agentic AI, But Still Expects Worse Shortages In 2027 We have been hearing about Samsung pulling out from the production of older DRAM technologies such as LPDDR4X and LPDDR4. Now, the company has officially confirmed that both of these standards have been discontinued. At its official webpage, Samsung lists both LPDDR4X and LPDDR4 as "Discontinued". This move was made as the company wants to pool in more capacity towards the more profitable […]
Read full article at https://wccftech.com/samsung-officially-discontinues-lpddr4-memory-sees-50x-profit-jump-expects-memory-shortages-to-get-worse-in-2027/
In just a few days from the time of this writing, players across the world will be able to get their hands on Valve's new Steam Controller when it launches on May 4, 2026. It's the first of the three devices Valve revealed last year to make it to players, and while we've previously heard that all three - the Steam Controller, Steam Machine, and Steam Frame - would arrive at some point in 2026, a new bit of information spotted by a reliable Valve insider points to the next device, possibly the Steam Machine, launching sooner than later. Known […]
Read full article at https://wccftech.com/steam-machine-release-could-be-around-the-corner/
OneLivePage offers privacy-first, real-time analytics for founders managing multiple apps. Track page views, scroll depth, sources, UTM campaigns, countries, devices, and funnels from visitor to payment without cookies or IP storage.
Add unlimited apps, auto-detect forms, logins, and payments, and run hero A/B tests from one dashboard. Start free with up to 5K events, fast setup, and GDPR-friendly tracking.
Jobs by Culture helps you discover companies where you'll thrive by showing roles through the lens of culture, not just titles. It features tech employers with culture badges, candid quotes, ratings, and locations so you can see how teams work before you apply. Browse remote-friendly and in-office options, compare values like engineering-driven, open source, or work-life balance, and go straight to roles at companies that fit your priorities.
Hello everyone,
First off, we apologise for the silence over the past month - it's been a while.
We're going to cut straight to the chase so you're not left wondering: After a long period without clear answers, we have received confirmation that Spiders is being liquidated.
What does it mean? This means the company as a whole no longer exists. We'll cease our functions immediately. The planned DLC will release via Nacon, and then-- well, that's it.
We're sorry that it's come to this and would like to thank each and every one of you for your support over the years. If you have any questions or run into issues with your games, please contact Nacon directly as we'll no longer be able to reply.
With PC games growing increasingly complex nowadays — especially ones built on Epic Games's infamous Unreal Engine 5 — default/maxed-out graphics settings rarely (if at all) strike the optimal balance between visual fidelity and performance that most PC gamers seek, and early access sensation Windrose is no exception to this rule. As a demanding UE5 game, it should come as no surprise to many that the game's maxed-out Epic graphics settings will be very GPU-heavy and thus should require some tweaking to achieve better performance on most rigs, without completely sacrificing visual fidelity. This guide should hopefully help you strike […]
Read full article at https://wccftech.com/how-to/windrose-pc-performance-analysis-tuning-guide-how-to-get-best-experience-on-pc/
Weapons director Zach Cregger is set to make his mark on the Resident Evil franchise with his own cinematic take on the popular horror franchise, and today we got our first proper peek at what that'll look like with the film's first teaser trailer. The trailer reveal also arrived alongside Cregger diving a little more into his thought process on developing the film in different interviews, particularly answering why he didn't just try and adapt a pre-existing Resident Evil story. "I wanted to tell a story that could take place in the Resident Evil world, but wasn't telling a story […]
Read full article at https://wccftech.com/zach-cregger-is-honouring-resident-evils-story-structure-survival-elements-and-progressively-weirder-monsters-rather-than-retell-leons-story/
Choosing a CPU or a GPU used to be the most expensive part of building a PC from scratch or even for an upgrade. With RAMpocalypse that started in Q4 2025, everything changed. Building a PC became so difficult that the RAM and SSD alone now cost over half the combined cost of the rest of the parts, including CPU, GPU, motherboard, PSU, etc. Occasionally, we see some users getting a 10 or 20% discount, or if they get extremely lucky, they receive a free part or two with the bundle deals. Not everyone can wait for such luck, but […]
Read full article at https://wccftech.com/best/best-gaming-pcs-for-every-budget-in-2026/
As Intel primes its 18A-P process technology at external customers, the company is sharing new insights into its enhanced performance & features. Intel's External Customer-Focused 18A-P Process Node Offers 9% Performance Boost or 18% Power Savings Versus 18A Intel's 18A process technology is ramping up well, with Panther Lake volume being increased significantly in the months ahead. As 18A becomes the standard for Intel's in-house chips, the company is also tuning its enhanced 18A-P node, which is a key technology aimed at attracting external Foundry customers. At VLSI, Intel will be sharing some more details about the features and enhancements […]
Read full article at https://wccftech.com/intel-18a-p-goes-beyond-speed-bump-adding-better-thermal-conductivity-to-win-foundry-customers/
DomainDash watches the client websites you maintain and tells you when something breaks, before the client notices. Built for freelancers and small agencies tired of finding out about expired SSL certs and DNS issues from the people who pay them.
Checks uptime, SSL expiry, DNS changes, and domain registration across every site you manage. Alerts in plain English: Healthy, Slow, Down. Forward an alert to a non-technical client and they'll actually understand it. Email alerts on every plan; Slack and SMS on higher tiers. Free tier covers one site. Paid plans scale by site count rather than per-seat. Free public check tool at domaindash.io/check works without signup.
Lekh AI lets you run powerful AI models entirely on your Mac and iPhone, keeping data on-device. Chat with local LLMs like Llama, Qwen, Gemma, and Mistral, generate images and videos, make music, convert text to speech, and build audiobooks without the cloud. The Pro version adds a full creative suite with Flux image models, LTX video, and ACE-Step music. Use the Knowledge Hub for RAG, and enjoy Apple Silicon-optimized performance with MLX and GGUF support, Siri integration, and no tracking or analytics.
Google is trying to simplify one of its most complex products, helping advertisers and analysts get more value from Google Analytics without deep technical expertise.
What’s new. Google Analytics is rolling out Task Assistant, a guided workflow tool that surfaces tailored recommendations to improve property setup, data collection and reporting.
How it works. Available in the left-hand navigation, Task Assistant organizes recommendations into clear categories like connecting accounts, enhancing reporting and fixing data issues. Users can mark tasks as complete as they go or skip items that don’t align with their business goals, creating a more flexible setup experience.
Why we care. Google is making it easier to identify gaps in tracking and fix them quickly, which leads to more reliable data and better decision-making. Task Assistant helps ensure Analytics is properly configured without requiring deep expertise, reducing the risk of missed insights or inaccurate reporting. Ultimately, better data setup means more confident optimization of campaigns and budgets.
Between the lines. Analytics platforms are powerful but often underutilized due to poor configuration. Task Assistant is Google’s attempt to reduce that friction by turning setup into a step-by-step process rather than a manual audit.
The bottom line. Task Assistant aims to make Google Analytics more actionable, guiding users toward better data quality and more effective measurement with less guesswork.
Samsung expects the memory shortage to get worse in 2027 The global memory crisis has seen Samsung’s memory profits soar. The company has seen its profits jump by almost 50X, from 1.1 trillion won to 53.7 billion won. For 2027, Samsung expects worsening conditions for the memory market, which is great news for them and […]
The post Samsung expects the memory crisis to get worse in 2027 appeared first on OC3D.
The ROG Xbox Ally and Xbox Ally X handheld PCs just got a major update that addresses several elements of the experience that those who bought into the expensive new handhelds have gotten used to. When I reviewed the ROG Xbox Ally X at launch, one of the chief issues with it was how it lacked any kind of plug-and-play experience, and each update, including today's, has been another step towards giving it that console-quality convenience. The most significant parts of today's update are meant to make the experience as seamless as possible, particularly when you're docking the device to […]
Read full article at https://wccftech.com/rog-xbox-ally-x-major-update-docked-mode-console-like-plug-and-play/
There's a new media blowout for 007 First Light ahead of the game's launch, which is planned in less than a month on PC, PlayStation 5, Xbox Series S|X, and Nintendo Switch 2. IO Interactive's Global Brand Manager, Laurine Deschamps, was interviewed by Inven Global and revealed how combat and stealth in this licensed James Bond game differ greatly from the studio's HITMAN franchise: combat is not a failure, and returning to stealth is possible even after entering combat. We wanted to give players various opportunities to achieve their goals. That's why we designed stealth and combat to flow naturally […]
Read full article at https://wccftech.com/007-first-light-hitman-combat-stealth-system/
Intel's crucial EMIB technology has achieved a phenomenal yield rate, showing its readiness for upcoming adoptions in AI datacenter chips. Intel EMIB Is The Single Most Crucial Foundry Tech From Chipzilla, Which Will Set It As An Advanced Packaging Competitor to TSMC We recently discussed how EMIB is being eyed by AI firms for their next-generation AI chips. The tech has one simple purpose: to provide a cost-effective and scalable alternative to TSMC's CoWoS technology. The advanced packaging tech from Intel is set to be used by Google in its next-generation TPUs, and we have also cited NVIDIA using it […]
Read full article at https://wccftech.com/intel-emib-hits-90-percent-yield-signaling-foundry-breakthrough-emib-t-scales-12x-reticle-2028/
Samsung’s Galaxy S26 Ultra is currently equipped with two telephoto cameras, with the less capable one being a 3x unit that’s often criticized by tipsters like Ice Universe for its lack of imaging prowess when compared to rivals. Now, with Apple adopting variable aperture technology to the iPhone 18 Pro and iPhone 18 Pro Max, a drastic decision could be made with the Galaxy S27 Ultra involving the removal of the aforementioned camera. The 3x telephoto camera is rumored to disappear from the Galaxy S27 Ultra, but there’s no telling what will arrive in its place The tipster has been a […]
Read full article at https://wccftech.com/samsung-to-remove-a-weak-camera-from-the-galaxy-s27-ultra/
Pearl Abyss, the developer of the commercially successful open world game Crimson Desert (and also known for the MMORPG Black Desert), has announced its decision to sell EVE Online and its studio back to CCP Games CEO Hilmar Veigar Pétursson for around $120 million. A rumor about Pearl Abyss selling CCP Games originally circulated almost a year ago, though back then it suggested the goal was to shop the studio around. Clearly, that option failed, and selling back to the original owners was the most sensible choice. In a statement to Korean media Inven Global, a Pearl Abyss spokesperson explained: […]
Read full article at https://wccftech.com/pearl-abyss-sells-ccp-eve-online-120-million/
Today, Funcom has announced that Update 1.4 for Dune: Awakening will arrive on May 19, alongside The Water Wars DLC, the final piece of the game's Season Pass. The free update adds two new Overland Map locations: Wind Pass, described as an old Harkonnen tech hub where players will encounter the Water Shippers faction, and The Old Quarry Testing Station, a scalable endgame area where a devious character named Dr. Jalanta awaits in a secret lab. Additional Landsraad Missions are also included, expanding the new endgame framework introduced in Chapter 3. Notably, Funcom has been upfront that Update 1.4 does […]
Read full article at https://wccftech.com/dune-awakening-update-1-4-water-wars-dlc-may-19/
Unknown Worlds highly anticipated sequel to its beloved indie hit and the most wishlisted game on Steam, Subnautica 2, finally has an exact release date. It'll arrive in Early Access on PC in just two weeks from the time of this writing on May 14, 2026. The release date reveal arrives alongside a new cinematic trailer that teases a bit of what players can expect from Subnautica 2, as it looks to up the ante as far as the creatures you'll face in the uncharted alien waters and what mysteries could be lurking underneath and above the ocean. The news […]
Read full article at https://wccftech.com/subnautica-2-release-date-early-access-unknown-worlds/
ASUS has just broken three 3DMark World Records with its ROG Astral RTX 5090 GPU, breaking past 50K points in Port Royal. ASUS Secures Three World Records With Its OC-Ready ROG Astral RTX 5090 GPU You might have thought that ASUS would be breaking some world records with its ROG Matrix 5090 GPU, but the company has achieved three new world records in 3DMark, all using its second-best 5090 variant, the ROG Astral. We have seen the NVIDIA RTX 5090 breaking several world records. Most of the records are being set by variants such as MSI's Lighting, GALAX's HOF, and […]
Read full article at https://wccftech.com/asus-rog-astral-rtx-5090-hits-3-7-ghz-single-16-pin-connector-three-world-records-50k-port-royal-score/
Flint lets you build AI-driven product recommenders, service suggesters, and quote calculators that capture qualified leads and deliver personalized results. Describe your use case to the Flint Assistant, import your knowledge base, and publish an on-brand tool in minutes with no code.
Flint embeds on your site or hosted page, integrates with HubSpot, Slack, and webhooks, and includes A/B testing, analytics, GDPR compliance, and automated follow-up emails so every submission reaches your CRM with rich, structured data.
Thanks to deep integrations with both your vehicle and your apps, Gemini in cars with Google built-in will help drivers do more safely while still focusing on the road.
Sundar Pichai is on the cover of Time magazine for its 100 most influential companies issue for 2026.
Google is filling a key measurement gap between awareness and consideration, giving advertisers a clearer view of how their brand is actually perceived — not just remembered.
What’s new. Google Ads has introduced a new “Association” metric within Brand Lift Studies. Advertisers can define a concept, category or attribute, and Google will ask users a survey-style question: which brands they associate with that specific idea.
How it works. Instead of measuring simple recall, the metric evaluates whether audiences connect your brand to a desired positioning. That could mean “premium,” “sustainable,” or even a product category — offering a more nuanced read on brand perception.
Why we care. Google is giving you a way to measure brand positioning, not just awareness or recall. The new Association metric helps determine whether campaigns are actually shaping how consumers perceive a brand — a critical step between being known and being chosen. It also enables more strategic optimization of creative and messaging, especially for brands trying to own specific attributes or categories.
Between the lines. Brand Lift has traditionally focused on awareness, recall and consideration. Association sits in between, helping advertisers understand whether their messaging is shaping how people think about the brand, not just whether they recognize it.
The catch. There’s still a constraint: advertisers can only select three Brand Lift metrics per study, so adding Association means making trade-offs with existing KPIs.
The bottom line. Association gives advertisers a more strategic lens on brand building — measuring not just visibility, but whether campaigns are landing the intended message.
First seen. This update was first spotted by Google Ads expert, Thomas Eccel who shared the update on LinkedIn.
Reddit is quickly becoming a powerful platform shaping how people discover and perceive brands. As AI search engines increasingly surface Reddit threads and comments, these conversations now influence visibility.
To understand this shift, I analyzed 117 SaaS brands on Reddit. People reveal what they really think there, which doesn’t always match polished marketing.
As communities shape brand perception, Reddit is no longer optional.
Here’s my analysis, plus how you can use Reddit to your advantage.
My analysis of 117 brands across the SaaS industry started with identifying the verticals to address:
From there, I created a Google Spreadsheet with the brand names for each vertical. Then, I mapped out the following details for each brand:
Across all 117 brands, I analyzed over 300 Reddit threads, including brand mentions, sentiment, community engagement, and brand participation.
Let’s dive into the key findings.
One thing became clear early on: people respond to people, not corporate brands.
Brands run by moderators who were helpful, honest, and non-promotional were received more favorably than those using a polished, corporate tone. Redditors tended to ignore or downvote obvious marketing copy.
In general, redditors don’t want to be marketed to. They want real opinions and real experiences.
As a result, peer recommendations felt more credible than brand messaging. When redditors asked questions or shared frustrations, the most authentic answers came from other users.
When brands stepped in with scripted or promotional responses, they often struggled to gain traction.
However, when brands answered directly, acknowledged limitations, and used conversational language, responses improved. In some cases, brand moderators even earned upvotes and thanks.
Redditors talk about brands, whether or not they’re present on the platform. In many cases, brands simply aren’t there.
Thirty of the 117 brands I analyzed have no Reddit presence. Another 23 are on Reddit, but their subreddits are abandoned.
In several instances, users asked direct questions like:
They received responses from other redditors sharing experiences, opinions, recommendations, and problems.
When brands aren’t there, the conversation continues without them. Over time, their reputation on Reddit exists outside the brand’s control.
Other negative outcomes can follow. When brands aren’t present, others can take their place.
In one instance, I found a community using a popular brand name that had nothing to do with the brand. This shows how easily brand presence can be shaped or misrepresented.
Redditors are already discussing your brand. The only question is whether you’re part of that conversation.
Reddit is an incredible source of unfiltered customer insights.
If you want to know what drives people away, what people value, and how people compare tools, you’ll find the answers on Reddit.
Here are some ways Reddit helps with customer research.
On Reddit, you’ll find people asking questions and sharing:
Reddit users tend to say exactly what they think. This kind of honesty is hard to find anywhere else.
These insights are critical for improving SaaS products. Traditional feedback methods don’t always capture these comments — but Reddit does.
Your Reddit community is a good place for happy customers to advocate for your brand. For example, this Reddit post by Monday shares a brand ambassador program.
In the comments, some brand advocates share insights into their experience, helping elevate the post.
When discussing some community-led brands, redditors often highlight solutions to problems and help fill brand gaps. For example, I noticed users helped each other with troubleshooting, sharing fixes, and recommending integrations.
In some cases, these communities were almost fully self-sustaining, requiring little brand involvement.
Across the topics I reviewed, redditors often expressed negative sentiment about pricing and suggested alternatives, especially for enterprise SaaS tools.
As a result, SaaS brands are often associated with soaring costs and limited pricing transparency, which can hurt perception. When users highlight competitor features, they surface gaps and alternative tools to consider.
Reddit attracts people who discuss how they use software. In my analysis, I observed that users shared:
These posts and comments give brands insight into real use cases they can use to improve products.
Reddit is no longer a side conversation. It’s where brand perception is shaped in real time.
Across the 117 brands I analyzed, conversations are happening on Reddit — even when the brand isn’t present. Increasingly, those conversations feed into AI search, influencing what people see, trust, and choose.
Smart brands shouldn’t ignore Reddit. They should track mentions, listen closely, show up where it matters, and treat Reddit as both a reputation channel and a product insight engine.
Why does it take Noctua so long to release Chromax Black fans? Noctua is preparing to release its Chromax Black NF-A12x25 G2 fans, which will arrive around 10 months after the release of its standard brown/beige versions. Ahead of this release, Noctua has decided to give its fans a glimpse behind the curtain and explain […]
The post Noctua explains – Why do their Chromax Black fans take so long? appeared first on OC3D.
Another Intel Wildcat Lake CPU arrives on PassMark, showing equivalent performance to its smaller sibling. PassMark Reveals Intel Core 5 330 Delivers 4,215 Points in Single and 14,947 Points in Multi-Core Tests Some of the Intel Wildcat Lake CPUs have now appeared on popular benchmarking platforms like PassMark and Geekbench. We first saw a glimpse of the only 1+4 Core CPU, Core 3 304, on Geekbench, and then the Core 5 320 appeared a few days ago on the popular platform PassMark. We saw the Core 5 320 competing with the Apple A19 Pro in MT, but trailing in single-threaded […]
Read full article at https://wccftech.com/intel-core-5-330-spotted-on-passmark-for-the-first-time/
NVIDIA has revealed the games it plans to add to the GeForce NOW cloud streaming library for the month of May 2026, but what's arguably more significant this month is how NVIDIA is expanding the list of games that are classed as RTX 5080-ready. Beginning today, "across nearly the entire GeForce NOW Ready-to-Play library," players subscribed to GeForce NOW Ultimate can play their games with the power of an RTX 5080 behind them. It's a massive expansion of the list of RTX 5080-ready games, which had previously expanded in trickles of a select few games getting added to GeForce NOW […]
Read full article at https://wccftech.com/nvidia-geforce-now-16-games-may-2026-nearly-entire-ready-to-play-library-rtx-5080-ready/
People find new ways of building PCs, but this one caught our attention as fitting regular-sized components in a CRT chassis is challenging. Redditor Builds a Whole PC Inside a CRT Monitor Using Desktop Parts; Replaces Display With a Laptop Panel and Deploys Several Case Fans Decades-old CRT display just became a fully functional computer, thanks to u/Discipline_Great, who, even though he couldn't revive the old CRT monitor, had some other plans. He says he picked it up from an e-waste, and it was already broken. So, he decided to turn it into a PC building project, which appears challenging, […]
Read full article at https://wccftech.com/modder-turns-crt-monitor-into-a-full-pc-build/
Benchmarks of Intel's upcoming and fastest gaming handheld SoC, the Arc G3 Extreme, have been leaked, surpassing the Ryzen Z2 by 25%. Intel Packs Its Strongest Battlemage GPU, & 14 CPU Cores Inside the Arc G3 Extreme Gaming Handheld SoC We recently covered Intel's first Arc G3 gaming handheld, which has been listed by online retailers. While the retailer listing was void of details for the SoC itself, we now have more specs and even benchmarks of the upcoming chip & they look phenomenal. Starting with the CPU, the Intel Arc G3 Extreme is going to be the top offering […]
Read full article at https://wccftech.com/intels-arc-g3-extreme-handheld-chip-crushes-ryzen-z2-extreme-benchmark-leak/
Yesterday, after reports that it would be shutting down, Greedfall and Steelrising makers Spiders, a studio that had survived in the video game industry for nearly two decades, officially closed its doors after its parent company Nacon failed to find a buyer after Spiders had filed for insolvency. While Nacon itself and three more of its subsidiaries have all filed for insolvency, Nacon continues to truck onward and reveals its Nacon Connect event will indeed return in May 2026, as it previously promised when the event was postponed earlier this year. The showcase event will premiere on May 7, 2026, […]
Read full article at https://wccftech.com/nacon-connect-set-may-2026-amidst-studio-closure-concerns/
Spaiky is like Duolingo for AI learning: it teaches AI literacy through bite-size, gamified lessons on your phone. Explore modules like Mastering AI Prompts and How LLMs Work, and learn in five minutes a day with quizzes, analogies, and no jargon. Earn XP, keep streaks, and collect trophies while tracking progress across 80+ interactive lessons. The app is free to start and is available now on Android, with iPhone coming soon.
The Spool List is a peer-to-peer fabrication marketplace that connects buyers with verified makers in 3D printing, laser cutting, CNC, embroidery, metalwork, and more. Post a job, get fixed-price quotes or open bids, and pay securely through escrow. Track progress in real time, message your maker, and release funds only when satisfied. The platform supports card and USDC payments, has zero buyer fees, and includes dispute resolution, making it easy to source anything from a single prototype to small-batch production.
In celebration of Route 66’s 100th anniversary, Google Maps is rolling out two new ways to help you explore it, virtually or IRL.
Preferred Sources is now rolling out globally in all supported languages, giving users more control over the news they see on Search.
Built for the next generation of Search, AI Max for Shopping campaigns helps retailers reach shoppers the moment discovery begins.
Upgrade to AI Max to simplify your workflow and access our most advanced tools.
As AI Max turns 1, we’re helping you capture even more opportunities in the expanding Search universe.
Google’s Preferred Sources now supports all languages, not just the English language. “Preferred Sources is now rolling out globally in all supported languages,” Google wrote on its blog this morning.
“This feature gives you more control over the news you see on Search by letting you choose the outlets and sites you want to appear more often in Top Stories,” Google added.
In December, Google rolled out preferred sources globally but it only supported English. Now it supports all languages globally as well.
Stats. Google added some interesting data including:
Preferred Sources. Preferred Sources let searchers star publications in the Top Stories section of Google Search, and Google uses that signal to show more stories from those starred outlets. The feature entered beta in June, rolled out in the U.S. and India in August, and is now expanding globally.
How it works. You click the star icon to the right of the Top Stories header in search results. After that, you can choose your preferred sources – assuming the site is publishing fresh content.
Google will then start to show you more of the latest updates from your selected sites in Top Stories “when they have new articles or posts that are relevant to your search,” Google added.
More details can be found over here.
Why we care. Traffic from Google Search is hard and if you can get your readers, loyal readers, to make your site a preferred source, that can help. Google said those users are twice as likely to click, which can help drive more traffic.
So add the preferred source icon to your site and encourage users to sign up. You can make Search Engine Land a preferred source by clicking here.
The difference between a 2% margin and a 20% margin increasingly comes down to whether you’re renting attention or owning the answer.
For years, search rewarded the ability to buy visibility. That model is weakening.
As AI systems increasingly resolve queries without a click, the value shifts from traffic acquisition to answer formation.
When you move from buying clicks to engineering answers (i.e., structuring content so it can be surfaced, cited, and trusted by AI systems), you change what you own. Instead of renting placement, you build answer equity: durable inclusion in the outputs that shape decisions.
The goal isn’t to turn off paid search. It’s to stop relying on it as your primary source of demand. Over time, this can lower acquisition costs and reduce volatility, because you’re not competing for every impression.
To operationalize this shift, you need a content structure that maximizes what AI systems can extract. Think of it as an “atomic sandwich.”
An atomic sandwich content structure shifts the focus from chasing traffic to maximizing intent density. Here’s how:
Most organizations treat their search budget like a high-interest payday loan.
You keep pouring cash into the paid bucket for that immediate hit of traffic, and it feels like you’re winning.
But the moment you stop feeding the meter, your brand disappears.
For many organizations, this isn’t just marketing inefficiency — it’s an organizational risk.
In the emerging Answer Economy, your rented audience is evaporating. Data from Seer Interactive (Sept 2025) shows paid CTR on informational queries has dropped 68% when Google’s AI Overviews are present.
You’re not just paying for clicks. In many cases, your paid traffic contributes to awareness that AI systems can later satisfy without requiring a click.
The “box” has changed.
Here’s the structural leak in your balance sheet: to survive 2026, you must stop buying a crowd and start engineering the answer.
If your brand isn’t among the trusted sources behind the machine’s answer, your visibility — and influence — shrinks significantly.
We’ve moved from a search engine that directs users to a generative engine that validates information. Every dollar you spend on ads to cover a lack of E-E-A-T is money you’re burning.
The data is clear: appearing in search results is no longer a viable model on its own.
The goal is no longer just to rank in search, but to be consistently included among the sources AI systems rely on.
Without trust, you’re paying for ghost impressions.
In the old box, you could survive by being loud. In the new box, you survive by being certain.
Most companies are in organizational denial.
You see the cost of rented clicks rising and quality falling, but you’re too afraid to stop because you’ve neglected your information architecture and have no foundation. That’s a balance sheet liability.
Use this checklist in your next review to find where your Answer Equity is leaking.
Stop rewarding word count. Every piece of content must deliver a “meat” layer — information gain a retriever can’t synthesize from the rest of the web. That’s how you reclaim your margins.
Dig deeper: Information gain in SEO: What it is and why it matters.
Stop treating schema as a technical extra. It’s your trust score on the digital exchange. Ensure your authors have strong provenance so AI retrievers can instantly crawl and confirm your expertise.
Dig deeper: Decoding Google’s E-E-A-T: A comprehensive guide to quality assessment signals.
If your traffic drops but lead quality holds, you’re winning. Focus on users who bypass the summary because they need the deep, forensic expertise only you provide.
Dig deeper: Measuring zero-click search: Visibility-first SEO for AI results.
The shift from renting an audience to owning the answer is the most significant strategic pivot your organization will make this decade. It moves you from a marketing expense to a balance sheet asset.
The paid trap offers a temporary high but leads to a fiscal dead end. Every dollar spent there is consumable — used once and gone when the auction ends.
When you move that capital into your information infrastructure, you stop paying for the privilege of being ignored. You start building a digital entity that owns its facts, earns trust, and controls its future in the Answer Economy.
Your first step: don’t boil the ocean.
Take your top-performing paid landing page and run the seven-point health check. If it’s a “zombie fact” environment, engineer information gain back into the page.
Stop asking for a ranking report; start asking for an entity audit.
The 2026 organization isn’t defined by how much it spends to rent an audience, but by how much it proves it owns the answer.
You have the blueprints. You have the data. Now stop funding the payday loan and start building answer equity.
Across 90 prompts we tested in ChatGPT, commercial prompts triggered web searches 78.3% of the time. Informational prompts did so just 3.1%.
That gap changes what you should write if you want to appear in a ChatGPT answer.
ChatGPT doesn’t pull every response from the same place. Some answers come from training data; others use live web search — a behavior called query fan-out. The model expands your prompt into multiple background searches, then retrieves and synthesizes across those subtopics. If your page isn’t on those branches, it won’t be pulled in.
So the question is no longer just how to rank. It’s which pages open the fan-out door in the first place.
In our sample, informational pages didn’t. Read on to discover where the system went instead.
We tested 90 prompts across three industries: beauty, legaltech/regtech, and IT. We analyzed prompt intent, downstream query expansion, and the intent those expansions reflected.
Here’s the breakdown and the core finding: most queries aligned with commercial intent, not purely informational prompts.
Query fan-outs change the content game because the system isn’t limited to the literal prompt.
It expands the request into multiple background searches, then retrieves and synthesizes across those subtopics.
Fan-outs trigger parallel web searches tied to the initial prompt, creating opportunities for retrieval, mention, and link citation.
Multi-query expansion is a core design pattern in modern generative search systems. Google describes AI Mode this way: it breaks a question into subtopics, searches them in parallel across multiple sources, then combines the results into a single response.
That raises a strategic SEO question: should you invest more in top-of-funnel educational content, or in lower-funnel comparison, shortlist, and recommendation content?
This experiment framed that problem.
The objective was to test, across selected industries, where fan-out appears by intent category: informational, commercial, transactional, or branded.
The initial hypothesis was direct: informational prompts wouldn’t trigger fan-out, while commercial prompts would, and those fan-outs would stay at the same funnel level or move lower.
We found that ChatGPT-generated fan-outs are overwhelmingly associated with commercial intent.
Disclaimer: This experiment measures observed prompt expansion behavior in ChatGPT. Google AI Mode is cited only as context to show multi-query expansion as a broader pattern in generative search, not as proof of ChatGPT’s internal architecture.
The core sample includes 90 numbered prompts, heavily weighted toward informational intent.
| Prompt intent | Prompts | Share of sample | Prompts with fan-out | Fan-out rate |
| Informational | 65 | 72.2% | 2 | 3.1% |
| Commercial | 23 | 25.6% | 18 | 78.3% |
| Branded | 1 | 1.1% | 0 | 0.0% |
| Transactional | 1 | 1.1% | 0 | 0.0% |
The sample skews heavily toward informational prompts, with some commercial ones and minimal branded and transactional queries.
We structured the experiment around the sectors in the brief: beauty/personal care, legaltech/regtech, and IT/tech.
The main finding is clear.
Out of 90 prompts, 20 triggered fan-out. Of those, 18 were commercial and 2 informational.
Informational prompts made up about 10% of fan-out triggers (2 of 20). When they did trigger expansion, they were rewritten into more evaluative, solution-seeking subqueries.
In other words, 90% of fan-out-triggering prompts in the core sample came from commercial intent.
The contrast is stronger than the raw totals suggest. Commercial prompts triggered fan-out 78.3% of the time; informational prompts did so just 3.1%.
This supports the working hypothesis: in this sample, fan-out was overwhelmingly a commercial phenomenon.
Those 20 prompts produced 42 fan-out queries — an average of 2.1 per triggered prompt.
Of those 42 fan-out queries:
Even when a prompt triggered expansion, the system usually shifted toward comparison, product evaluation, feature filtering, shortlist creation, or brand-specific exploration — not broad educational discovery.
The experiment used 90 prompts across three industries, mostly informational, with a smaller set of commercial prompts and minimal branded and transactional queries.
In the analysis, we have:
The analysis then followed three steps:
That produced two distinct but complementary views:
That distinction matters: the first shows which prompts open the fan-out path, while the second shows where the system goes once it opens.
The cleanest interpretation is that, in this sample, fan-outs behave less like open-ended topic expansion and more like assisted decision support.
Commercial prompts almost always opened the door.
Once they did, fan-outs usually stayed commercial.
The system expanded into comparisons, feature-based filtering, product lists, pricing-adjacent queries, and brand-specific evaluations.
A few examples make that concrete.
The two informational exceptions are even more revealing than the rule.
So, even when the prompt starts broad, fan-out often translates that breadth into a lower-funnel retrieval path.
The takeaway isn’t to stop writing informational content.
It’s this: informational content alone is unlikely to align consistently with fan-out expansion, at least in this dataset.
If your goal is visibility in AI answers tied to product selection, vendor discovery, or option narrowing, you need stronger coverage of pages and passages that match those downstream commercial branches.
That may include:
In practical terms, your content model shouldn’t be just ToFU or BoFU, but ToFU with commercial bridges.
A broad article can still help, but it should include passages the system can easily reformulate into decision-support subqueries.
A purely educational piece that explains a category without naming products, tradeoffs, features, use cases, pricing logic, or selection criteria is much less likely to align with the fan-out paths seen here.
Put simply: Don’t just answer the obvious question — anticipate the next evaluative step the system is likely to generate in the background.
This result is directional, not universal.
The next version of this experiment should isolate the question more aggressively and expand the dataset.
A follow-up should map triggered fan-outs back to specific content formats.
The goal isn’t just to confirm that commercial intent wins. It’s to identify which page templates and passage structures best cover the fan-out branches AI systems prefer.
I keep hearing people say AI understands their brand. It doesn’t. Let’s get that out of the way first.
What it does is pattern-match at scale. It compresses your positioning, product, proof, and tone into a bundle of signals it can retrieve and remix at speed.
Those patterns come from two places:
So “AI SEO” isn’t a new channel. It’s a new representation problem: which version of your brand gets encoded, retrieved, and repeated.
Most brands are already in the game. They’re just not playing with purpose.
Classic SEO was a library problem. You publish a URL. Google indexed it. A human searched and found it.
AI search is a conversation that stretches out the demand curve. Head terms still drive the majority of visibility, but, ever so slowly, more volume is moving into context-heavy prompts.
Your job is to be the most relevant match inside a model’s memory and retrieval pipeline.
Not by being ranked. But by being represented.
AI doesn’t run on opinions. It runs on associations.
Classic SEO competed for keywords. Then it shifted to entities. AI systems go one layer deeper. They turn entities into vectors.
Your brand becomes a coordinate in dimensional space. Close to some concepts. Distant from others. Pulled by whatever your content and mentions repeatedly associate you to.
If your brand is consistently associated with “enterprise analytics”, “real-time dashboards” and “data governance”, your vector lives near those clusters.
If your messaging sprawls into adjacent territory because someone got bored of writing about the same things, the vector spreads. Precision drops. The model still has a position for you. It’s just fuzzier, less confident, and easier to swap for a competitor with cleaner signals.
Before you “fix AI SEO,” identify which layer your brand is failing on. The same tactics don’t work everywhere.
Your historical footprint. Press, blogs, documentation, reviews, every old thread on a forum you forgot existed.
You can’t fully control it.
But you can reduce fragmentation by finding and editing all possible past mentions (social profiles, directory listings, wikis, etc) to create a consistent identity across the internet.
Understand the training layer by asking an AI chatbot to describe your brand with web search turned off.
Your live surface area. Indexed pages, product feeds, APIs. This is where traditional technical SEO of crawling, indexing and rendering matter most. It defines what the AI system can access for citations.
Understand the retrieval layer by running branded intent and market category intents prompts daily using a LLM tracker and reviewing which sources are consistently cited.
That is the output seen in AI Overviews, AI Mode, ChatGPT or whatever your brand gets reassembled in front of an actual customer. Your brand will be written into the answer only if it’s a must.
So ask yourself, what unique, quotable, additive content forces the LLM to mention you?
Understand the generation layer by using the same LLM tracker data, but reviewing brand mentions within responses and their semantic associations.
Think of these as the forces quietly shaping your representation across the layers.
AI systems merge different references to the same brand if it’s obvious they belong together.
Most brands don’t have one clear identity. They often have:
Humans merge that automatically. Models don’t. They consolidate by pattern, not intent. Every inconsistent self-reference is a vote for fragmentation.
Allow your brand to be written five different ways and split your visibility signals five times.
Models learn what appears together:
Repeat the right pairings, and the association strengthens. Be inconsistent, and it weakens. It’s genuinely that simple.
Models track who is being described, by whom, in what context.
Your own site is one layer. Third-party mentions are another. High-trust sources carry more weight.
Not because of “authority” in the classic SEO sense, but because they appear frequently inside reliable contexts in the training data and retrieval corpora. Similar outcome. Different mechanisms.
When generating answers, AI systems decide which information to use. That decision depends on clarity, relevance, uniqueness, and ease of extraction.
If key facts are buried in narrative copy, implied through metaphor, scattered across sections, the model will simply pull from somewhere else.
On the other hand, if you repeat them, structure them, and make them explicit, you are more likely to be chosen by the model.
In your content, on-page and off-page, make the core entities unmissable. Your brand. Your products. Your categories. Your audience. Your differentiators.
Craft a clear, consistent, canonical positioning that the machine can’t misread by creating a canonical brand bio:
[Brand] is a [market category] for [audience] who need [use case], differentiated by [proof].
Then, honestly ask yourself if your answer could also describe your competition. Or better, ask AI that question. If the answer is yes, rewrite it’s unmistakably you.
Then roll out that positioning everywhere. On-page with “retrieval-ready” chunks, in structured data, in “sameAs” references, industry publications, partner sites, user reviews, community discussions, social posts.
Repeat key associations deliberately across pages until it feels excessive. Reduce unnecessary variation in terminology. Then the associations strengthen. Are reinforced. Compound.
Beware brand drift, where inconsistencies allow misrepresentations, and a lack of information allows hallucination to creep in. Police all the edges. Consolidate or kill the pages that introduce conflicting descriptions of your brand.
This is not about gaming AI. It is about reducing entropy.
If that sounds boring, good. The brands that win the AI era are not going to win it with cleverness. They are going to win it with discipline.
Because if answers are inconsistent across sources, your brand won’t be cleanly encoded. And the version of you that AI systems are quietly passing along to customers won’t be the one you intended.
If AI systems can’t confidently represent your brand, they will default to a safer option. Usually, it’s a competitor with cleaner signals. Not because that competitor is “better”. Because that competitor is easier for the machine to use.
AI doesn’t need to understand your brand perfectly. It needs to approximate it well enough to recommend you. Your job is to control that approximation through consistency, structure, and distribution.
Not by publishing more. By making your brand impossible to misunderstand.
Google is doubling down on AI-driven ads just as search behavior shifts toward conversational queries, giving advertisers more automation while trying to preserve control.
What’s new.
AI Max expands beyond Search: Now rolling out to Shopping campaigns and travel-specific formats, broadening reach across more advertiser types.
AI Brief (powered by Gemini): A new interface that lets advertisers steer AI using natural language inputs.
Text disclaimers + URL automation: Compliance-friendly updates to pair with automated landing page selection.
Why we care. Google is making AI Max a core layer across Search, Shopping and Travel, meaning automation will increasingly determine how ads are matched to user intent. This update expands reach into more conversational, high-intent queries that traditional keyword strategies miss, helping brands capture demand earlier in the journey.
At the same time, tools like AI Brief and new compliance features give advertisers more control over messaging and targeting, reducing the risk of fully automated campaigns feeling like a “black box.”
Shopping gets smarter. For retailers, AI Max for Shopping uses Merchant Center data to generate more adaptive ads that can respond to long-tail and exploratory queries, helping brands appear earlier in the discovery phase rather than only at the point of purchase. The rollout is positioned as a simple upgrade for existing Shopping campaigns, suggesting Google wants rapid adoption.
Travel gets consolidated. Travel advertisers get a consolidation play. Search Campaigns for Travel bring previously fragmented formats into a single interface with unified reporting and integrated AI Max capabilities. The move reduces operational complexity while reinforcing Google’s push toward centralized, AI-driven campaign management.
More control with AI Brief. The most notable addition is AI Brief, which attempts to solve a long-standing advertiser concern: lack of compliance control in automated systems. Advertisers can define messaging rules, specify which queries to prioritize or avoid, and shape how different audiences are addressed. The system then generates previews, allowing feedback before campaigns go live.
Automation meets compliance. Google is refining how traffic is directed to websites. Final URL expansion uses AI to select the most relevant landing page for each query, and the new text disclaimer feature ensures required legal messaging remains intact even when automation is active. This signals a push to make AI usable in more regulated industries without sacrificing compliance.
The bottom line. AI Max is evolving from a Search add-on into a foundational layer across Google Ads, combining automation, cross-format reach and advertiser input to adapt to a more AI-driven, conversational search landscape.
LG delivers ultra-sharpness with its 5K Hyper Mini LED 27GM950B monitor LG has officially released its new UltraGear Evo AI GM9 (27GM950B) 5K Hyper Mini LED monitor. This new 27-inch gaming screen boasts a 5K resolution with a maximum refresh rate of 165Hz. Furthermore, with Dual Mode, this screen also supports 1440p at up to […]
The post LG launches its first UltraGear Evo Hyper Mini LED 5K Gaming Monitor appeared first on OC3D.
Aleyda Solis's Similarweb analysis of 10 markets shows that AI search clicks frequently redirect to local domains, with the distribution differing by industry.
The post AI Search Clicks Often Go To Local Domains: Report appeared first on Search Engine Journal.
Google adds AI Brief and text disclaimers to AI Max. See how new controls help regulated advertisers adopt automation while maintaining compliance and messaging accuracy.
The post New: AI Brief And Text Disclaimers Come To Google AI Max appeared first on Search Engine Journal.
Google expands AI Max to Shopping and Travel campaigns. Learn what’s changing, how it works, and what advertisers should prepare for ahead of broader rollout.
The post Google Launches AI Max For Shopping and Travel Campaigns appeared first on Search Engine Journal.
Microsoft says Bing reached 1B monthly active users, as search ad revenue grew 12% and Edge gained share for the 20th straight quarter.
The post Microsoft Says Bing Reached 1B Monthly Active Users appeared first on Search Engine Journal.
After a slip-up by Fuse Games spoiled the surprise a few days early, we officially learned today that Star Wars Galactic Racer will arrive on PC, PS5, and Xbox Series X/S on October 6, 2026. We also got a full breakdown of the different editions of the game that'll be available, and something that didn't leak, which was the full release date trailer with some incredible-looking fast-paced gameplay. After Fuse Games quelled any fears that Star Wars Galactic Racer wouldn't include pod racers, today's official release date trailer is sure to put the iconic vehicles front and center, with several […]
Read full article at https://wccftech.com/star-wars-galactic-racer-editions-release-date-fuse-games-official-reveal-gameplay/
MSI's upcoming Claw 8 EX AI+ Gaming handheld, which will be powered by the Intel Arc G3 Extreme SoC, has been listed online. MSI's Next-Gen Claw Handheld Spotted At Italian Retailer: Features Intel Arc G3 Extreme SoC, 32 GB Memory & 1 TB Storage Intel will soon be introducing its next-generation handheld SoCs called Arc G3. These will come in two flavors: a standard G3 and a high-end G3 Extreme. The Arc G3 series is Intel's big entry into the gaming handheld through dedicated SoCs, similar to what AMD does with its Ryzen Z series SoCs. Now, the first handheld […]
Read full article at https://wccftech.com/msi-claw-8-ex-ai-gaming-handheld-with-intel-arc-g3-extreme-listed-online-1599-euros/
The new flagship motherboard boasts an all-white design, boasting incredible VRM, powerful connectivity, and a powerful feature-set for high-end and flagship Ryzen CPUs such as Ryzen 9 9950X3D2 Dual Edition. ASRock Introduces An All-White X870E Taichi White Motherboard, Featuring 27 Power Phase VRM, PCIe Gen 5.0 Support, and Modern Connectivity Popular hardware manufacturer, ASRock, has debuted a new flagship motherboard for the high-end Ryzen CPUs called X870E Taichi White. The X870E Taichi White is the first-ever all-white flagship Taichi series motherboards that brings a new color scheme to the lineup. The motherboard uses fully white PCB, white heatsinks, and white […]
Read full article at https://wccftech.com/asrock-launches-x870e-taichi-white/
Atomfall, a very British take on games like Fallout or STALKER from Rebellion that landed on PC and consoles in March 2025, is the latest recent release to get its own adaptation. Two Brothers Pictures, the production company behind hit shows like Fleabag and The Assassin will lead up a TV show adaptation of the game, which also just took home the BAFTA for Best British Game two weeks ago. News of the adaptation comes via a report from Deadline, who add that the Two Brothers Pictures founders, Harry and Jack Williams, will also be creative leads for the adaptation […]
Read full article at https://wccftech.com/atomfall-tv-show-adaptation-fleabag-producers-lead/
We've known since the game's announcement that The Blood of Dawnwalker would not be quite as large as The Witcher III: Wild Hunt. This makes perfect sense, as Rebel Wolves is smaller than CD Projekt RED was when it made its masterpiece. However, what exactly is the scope that players can expect in the full game? As reported by Gamereactor, Creative Director Mateusz Tomaszkiewicz revealed that The Blood of Dawnwalker turned out to be even bigger than the studio had originally planned. The goal was to target a 40-hour average playthrough, but now that all the content is in place […]
Read full article at https://wccftech.com/blood-of-dawnwalker-playtime-40-70-hours/
PubQ is a scheduling tool built specifically for Substack Notes. Substack has no native scheduler for Notes, only for long-form posts. PubQ fills that gap: a Chrome extension captures your Substack session and posts your Notes automatically at your chosen time.
The workflow is simple: write your Notes in batches, set a schedule, and PubQ handles posting at peak times while you do other things. A free tier is available with no card required.
PRDFlow connects to your GitHub repo and auto-translates every code merge into stakeholder-ready updates, requiring no engineer effort. Founders see business impact like "Payment processing is live, start charging customers," PMs see roadmap progress such as "3 of 5 acceptance criteria met," and sales sees what's demo-ready like "SSO is live, safe to promise clients." No more status meetings, Slack archaeology, or interrupting engineers in deep work. PRDFlow replaces the broken game of telephone between engineering and the rest of the company with a single source of truth pulled directly from the code.
A new agreement between Google and OG&E to protect energy affordability in Oklahoma.
AI may not see your brand the way you think it does, according to Scott Stouffer, co-founder and CTO at Market Brew.
Brands still publish content, optimize pages, build authority, and follow SEO best practices. But that may not be enough anymore.
Search has moved away from a simple battle over keywords, links, and page-level signals. It’s now shaped by meaning, intent, embeddings, and retrieval, Stouffer said during his SEO Week presentation.
In legacy SEO, a page could rank lower and still exist in the search results. In AI-driven systems, the first question isn’t whether you rank. It’s whether you’re ever retrieved.
“If you’re not retrieved, you do not exist to AI,” Stouffer said.
Your brand already exists inside AI systems as a mathematical object. You may call yourself one thing. Your homepage may say another. Your brand guidelines may promise a clear position. But AI systems build their own view of your brand from the content you have published.
That computed version of your brand may be different from the one you intended to build.
AI visibility begins before ranking, Stouffer said.
In traditional SEO, marketers focus on positions — first, third, or tenth. But AI systems apply a filter earlier. Before anything is ranked, the system determines which content is eligible for consideration.
That is retrieval.
When a user asks a question, the system pulls a limited set of passages or chunks that best match the query. Those passages define the answer space.
If your content isn’t included, you get no impressions, no clicks, and no visibility at all, Stouffer said.
The real shift is moving from exclusion to inclusion.
“You don’t lose. You just never entered the game,” Stouffer said.
AI systems don’t treat a webpage as one clean unit, Stouffer said. They don’t evaluate pages as whole objects or prioritize layout, structure, or formatting.
Content is broken apart. A page becomes chunks: passages, sections, and individual ideas.
Each chunk is evaluated independently. A paragraph deep in a guide can compete on its own. A single sentence can be selected if it aligns closely with the query.
This shifts competition from page versus page to passage versus passage.
Most of a page may never be considered. Only the most aligned chunks are evaluated.
Each chunk is converted into a vector, Stouffer explained.
This vector represents meaning as a position in a high-dimensional space. It captures context and intent rather than exact wording.
Two pieces of content can use different words but sit close together if they express the same idea. Others can share keywords, but sit far apart if they represent different meanings.
“It’s comparing meaning, not wording, measuring distance, not keyword overlap,” Stouffer said.
Relevance is determined by proximity. The closer a chunk is to a query in this space, the more likely it is to be retrieved.
As chunks are mapped into this space, they group together.
Content with similar meaning forms clusters, even across different pages. These clusters reflect how AI systems understand topics.
This understanding comes from how content naturally groups by meaning, not by site structure or labels, Stouffer said.
If content is consistent, clusters become dense and clear. If content is scattered, clusters become fragmented.
What matters is not what a brand intends to say, but what its content actually communicates.
Within these clusters, there is a center point — the centroid, Stouffer said.
The centroid represents the average position of all related content. It reflects the site’s core meaning.
Every page and paragraph influences that position. Consistent content creates a clear, stable centroid. Inconsistent content dilutes it.
That centroid is how AI understands your brand.
Not your homepage. Not your messaging. Not your brand guidelines.
Your centroid is the combined signal of everything you have published, Stouffer said.
“Your centroid doesn’t care about intent. It reflects the math of everything you’ve ever published,” Stouffer said.
This changes how content should be evaluated.
The key question isn’t whether a page is optimized in isolation. It’s whether it aligns with the rest of the site.
Each page either strengthens the centroid or pulls it in a different direction.
“Optimization without alignment creates drift, and drift is what breaks consistency,” Stouffer said.
As drift increases, the site becomes harder for AI systems to interpret and retrieve.
“You don’t write pages, you project meaning,” Stouffer said.
When a query is entered, the system converts it into a vector, Stouffer said.
It then searches for the closest matches in meaning space.
This includes both individual chunks and the centroids that represent broader content clusters.
If your content is close enough, it enters the candidate set. If it is too far away, it is excluded.
Only after this stage do traditional ranking signals apply.
Content quality, links, and structure matter — but only if the content is first retrieved.
If not, those signals are never evaluated, he said.
Many brands follow similar strategies, use the same sources, and produce similar content.
As a result, their centroids converge in the same region, Stouffer said.
He described this as cluster collision.
When multiple brands occupy the same space, AI systems don’t select all of them. They choose a few and ignore the rest.
“They’re not failing best practices. They’re colliding with everyone else using them,” Stouffer said.
Producing more content or improving existing content isn’t enough. If content remains similar in meaning, it remains in the same space.
“You need a distinct centroid,” Stouffer said.
A clear, separate position in meaning space reduces competition and increases the likelihood of retrieval.
This is not a one-time adjustment.
Every piece of content shifts the centroid.
That requires an ongoing process of measurement and adjustment, Stouffer said.
Teams need to monitor alignment continuously and correct drift as it occurs.
Over time, this creates a more stable system where new content reinforces the existing structure.
Most teams can’t see how their content exists in this system.
They can’t see clusters, centroids, or distances — or why content is excluded.
So they rely on trial and error, Stouffer said.
They publish, optimize, and wait for results. When nothing changes, they try something else.
Without visibility into the system, they react to outcomes rather than understanding causes.
Your brand already exists as a mathematical object inside AI systems, Stouffer said.
You do not get to choose that.
You only choose whether to measure and control it or let it drift.
AI does not see your brand the way you describe it. It sees the aggregate meaning of your content.
“If you control your centroid, you control your visibility,” Stouffer said.
For more than two decades (nearly as long as I’ve been in SEO), backlinks have been core to SEO. Google’s PageRank changed search by using backlinks as a proxy for trust.
A link wasn’t just a pathway; it was a vote. The more votes you had and the more authoritative the voters were, the higher you ranked.
But as Google and AI systems matured, entity-based understanding emerged. AI models became better at understanding content, context, and credibility without always needing a hyperlink as a crutch.
Today, visibility isn’t driven solely by links. It’s strengthened by the broader signals your brand has earned: how often it’s mentioned, cited, and trusted across authoritative sources.
Search engines and AI platforms now prioritize these signals.
Modern AI systems can evaluate trust and expertise in ways that were impossible a decade ago. AI has changed how authority, trust, and expertise are measured. It can now assess authority through signals once approximated mainly by backlinks.
AI can:
A brand mention in a reputable publication—even without a link—reinforces entity authority. Consistent expert citations validate expertise. These signals can’t be faked.
The result is a new era where links still matter, but they’re no longer the only star. Authority is now a network of signals.
As Google relies less on raw link signals, something else has increased: entities — the people, brands, organizations, and concepts behind the content. Google increasingly showcases brands based on who they are and how they’re discussed across the web, alongside their backlink profile.
At its core, entity-first SEO means Google and LLMs are mapping relationships: identifying brands, understanding what they’re known for, and evaluating how they’re referenced in trusted sources.
For example, an outdoor gear company with a modest backlink profile began appearing in AI Overviews for “best hiking backpacks” after repeated mentions in Reddit threads, YouTube reviews, and a few expert roundups. Only some mentions included links, but the brand appeared consistently in trusted, topic-relevant conversations. Google interpreted those unlinked mentions as proof of real-world relevance.
If your brand consistently appears in a positive light in topic-related conversations, AI sees that as proof you’re relevant and trusted. The brands that win now have the strongest entity presence.
PR-style links and editorial coverage are earned mentions in reputable publications — the kind that signal real-world authority, not algorithmic manipulation.
Old-school, volume-based link building is less effective as AI improves at detecting manufactured patterns. But high-quality, relevance-driven link building—especially when paired with PR signals—is more valuable than ever.
Editorial PR links from journalists, analysts, and industry voices who choose to reference a brand because it’s newsworthy or authoritative reflect genuine credibility. They’re the digital equivalent of a trusted expert saying, “This brand matters.”
| Authority-Based Link Building | Volume-Based Link Building |
| Strong editorial context | Thin or generic content |
| High topical relevance | Limited relevance |
| Natural language anchors | Over‑optimized anchors |
| Trusted authors and publications | Sites with weak editorial oversight |
| Clear entity associations | Obvious link‑selling footprints |
AI doesn’t just look at the presence of a link; it evaluates the context around it. Models are trained to reward authenticity. Search aims to reward the most authoritative entities.
The real power comes from a combination of signals. As search has evolved, quality has become more powerful than quantity.
Now AI is driving another shift. You can grow traditional, relevance-focused links alongside new brand signals.
A single earned placement done well can generate:
This is multi-signal authority — holistic credibility that AI systems are designed to reward. It tells Google and LLMs: you’re known, trusted, and relevant. You need to be part of the conversation.
As powerful as PR signals are, they’re only one part of a larger authority ecosystem. AI evaluates brands through a multi-signal trust profile that determines visibility.
Authority is now defined by the breadth and consistency of signals that validate who your brand is across the web. It’s evaluated as humans do: reputation, recognition, expertise, and prominence.
Authority is no longer a single metric tied to links. It’s a network of signals, including:
Together, these signals create a holistic authority profile that AI can interpret. The brands that win have the strongest multi-signal authority footprint.
Brand strength quietly outweighs other signals. The data shows it: brands in the top 25% for web mentions average 169 AI Overview citations, while the next quartile averages just 14.
That’s not a small gap.
This aligns with Ahrefs’ analysis of ~75,000 brands. The strongest correlations with appearing in AI Overviews were branded web mentions, branded anchors, and branded search volume—all signals of real-world brand presence.
Consider two competing fitness apps. One has thousands of backlinks from generic listicles. The other is frequently mentioned in Reddit threads, YouTube reviews, and TikTok “day in the life” videos. The second app appears consistently in AI Overviews because AI sees it as part of the real-world fitness conversation, not just the link graph.
The brands dominating AI Overviews have the strongest brand presence, supported by consistent links, mentions, citations, and contextual relevance.
By 2027, link building will undergo radical change. The shift from a numbers game to a confidence game will become the norm, and Share of Authority or Voice will be the new metric.
Here are my top three predictions for what’s next.
Link building will expand to include “seeding” information in AI training hubs. Instead of mass outreach to low-tier blogs, strategies will target user-preferred sources like Reddit, LinkedIn, Substack, and GitHub, which LLMs use for high-quality, human-led data.
Brands that appear most often in training data, trusted sources, and high-authority conversations will earn visibility. This is the next step in a world where signals determine authority.
| Traditional Metric | Predicted Metric | Why the Change |
| Backlink Count | Entity Citation Frequency | AI values brand mentions as much as links |
| Domain Authority (DA) | Source Reliability Score | Focus on the trustworthiness of the source |
| Anchor Text | Semantic Context | AI reads the intent around the link, not just the text |
| PageRank | Share of Model (SoM) | Success is being the AI’s preferred answer |
As AI systems rely more on multi-signal authority, proprietary data becomes one of the most powerful assets a brand can produce. Data isn’t just content — it’s a signal engine. It naturally earns the signals AI trusts most:
Traditional link building still provides foundational authority, but data-driven assets are the accelerant. They create high-trust, high-context signals that AI models weigh heavily.
On a platform where visibility depends on how often your brand appears in authoritative contexts, proprietary data is the most scalable way to increase your Share of Authority.
Traditional contextual links will continue to build the foundation. But beyond that, search engines will track every time your brand appears alongside specific topics. Links will need “semantic context.”
Every mention of your brand in news, podcasts, reviews, forums, social posts, and roundups becomes a signal that strengthens your entity.
The future of off-page SEO isn’t a battle between traditional link building and AI-driven signals. It’s the realization that links were always just one signal. Now search engines can understand dozens more.
Traditional link building still matters. It provides the foundational authority, crawl paths, and topical relevance every site needs.
AI has widened the field. It can read context, interpret sentiment, understand entities, and evaluate brand presence.
These signals don’t replace links — they amplify them.
Links built the foundation.
Signals build the skyscraper.
Ask any paid search manager who has tried to get an AI agent to do something genuinely useful with a Google Ads account and you will hear a version of the same story. They exported performance data, pasted it into a chat window, got a solid answer, and then did the exact same thing the next day.
Exporting, pasting, repeating — that isn’t automation. That’s the same manual work you were doing before, performed in a different window.
The AI tools are not the problem. Any of the major ones can do solid analysis when the right data is in front of them.
The problem is getting that data to them live, current, and without a human in the middle copying it across. It’s the reason most PPC accounts in 2026 still run almost exactly the way they did before anyone started talking about agents. Call it the data wall.
Every ad platform is a silo by default. Google Ads records a conversion. Your CRM records whether that lead is qualified. Your inventory system records whether the product behind that click is still on the shelf. None of them talk to each other without deliberate plumbing.
PPC managers have bridged that gap manually for years: weekly exports, cross-referenced spreadsheets, dashboards that were stale by Monday morning.
That was workable when a human was doing the bridging on a set schedule. It becomes a structural problem the moment you hand execution over to an agent that must act in real time.
Take a keyword showing healthy volume, an acceptable CPA, and a CVR in range — all according to Google Ads. In HubSpot, those same conversions are tagged as disqualified leads: wrong territory, no budget, wrong company size entirely. The agent has no way to know. It keeps bidding. The budget keeps spending. And the problem doesn’t surface until someone runs the monthly review.
That is a data access problem, not a prompting problem. Better prompts don’t fix it. But a better pipeline does.
The Model Context Protocol (MCP) is an open standard that lets AI clients connect to external tools and data sources without a custom integration for each one. Before MCP, getting an agent to read from Google Ads, your CRM, and an inventory system meant building and maintaining three separate connectors, with the burden compounding every time you added a source.
MCP standardizes the handshake. A platform publishes an MCP server once, and any compatible AI client — Claude, ChatGPT’s agent mode, your team’s custom agent — can connect to it.
Google has already open-sourced its Ads API MCP server on GitHub, which allows agents to run Google Ads Query Language (GAQL) queries directly against live account data. The infrastructure problem that has blocked most real-world agentic PPC work is finally being addressed at the platform level.
The CRM gap closes first. An agent connected to both Google Ads and HubSpot can pull last month’s conversions, cross-reference them against CRM disposition, identify the keywords producing disqualified leads, and lower bids on those sources — on a schedule, without a human compiling the report. A loop that used to swallow half a day runs automatically.
Inventory creates the same kind of blind spot. An agent connected to Shopify can check stock levels before weekend campaigns go live. When an SKU drops below the threshold, the corresponding product group is paused before traffic hits a page that no longer converts.
Even the data-pipeline work itself gets faster.
On a recent “PPC Town Hall“ episode, Lars Maat — a PPC expert and agency founder in Rotterdam — described building a Python pipeline with no prior Python experience, connecting the Google Maps API, Google’s Things To Do feature, and Ahrefs to generate optimized landing pages for a parking client to identify nearby attractions, check search volumes, and feed the content to a generator.
The whole thing was live in two weeks. The only constraint was getting the right data in front of the AI and not what it could do.
Here’s where things get interesting, and where most of the MCP hype is skating past a real issue.
Write access to a live Google Ads account, in the hands of a probabilistic language model, without institutional constraints, is a new category of risk. An agent that can pause a campaign needs defined parameters: what threshold triggers the action, who gets notified before it fires, which campaign types require human sign-off. Those parameters don’t exist inside the AI tool. They have to be built around it.
Advertisers can grant granular permissions to the Optmyzr MCP to stay in control of what the connector is allowed to do on its own, what it can never do, and what it can do with human approval.
Advertisers can grant granular permissions to the Optmyzr MCP to stay in control of what the connector is allowed to do on its own, what it can never do, and what it can do with human approval.
On another “PPC Town Hall“ episode, Ann Stanley — founder of Anicca Digital and one of the UK’s most experienced paid media practitioners — described effective AI deployment as a sandwich: humans at the front who understand the goal and can give precise instructions, humans at the back who review the output and decide what ships, and AI handling execution in the middle. The quality of what comes out depends on the quality of what goes in and on whether the middle layer has any constraints at all.
This is where raw API access stops being enough.
Google’s open-source MCP server is a good piece of infrastructure. But it is not a safety net. It will happily run any GAQL query and any mutation the agent constructs, and if the agent hallucinates a campaign ID or picks the wrong lookback window, the ad account absorbs the consequences.
LLMs are probabilistic. Ad platform APIs are not. So, something has to sit in between.
We have spent over a decade encoding how Google Ads actually behaves — not just what the API exposes, but the interdependencies between settings, the edge cases around campaign types, the nuances of what makes a “duplicate keyword” a true duplicate versus a false positive. That work lives inside Optmyzr as a business intelligence layer. Our MCP connector is how we let your AI agent borrow it.
When Claude, ChatGPT, or your team’s custom agent connects to the Optmyzr MCP, it gains access to the same Sidekick capabilities your team uses inside Optmyzr: pulling PPC performance reports with rich filtering and segmentation, surfacing configured and triggered alerts, creating and editing alerts, retrieving merchant feed details, summarizing portfolio health across every active account, and — this is the one most people miss — generating and executing a full Rule Engine strategy from a plain-English description of what you’re trying to accomplish.
That matters for three reasons most DIY setups miss:
The end result is an AI agent that operates across your portfolio with the reach of an API, the judgment of a platform that has been in this space since before AI agents were a category, and a safety posture that doesn’t require you to build your own circuit breakers.
If you want to experiment with read-only access across raw ad platforms, Windsor.ai and Zapier’s MCP integration are the fastest on-ramps. If you’re comfortable managing your own guardrails, Google’s open-source Ads API MCP server on GitHub gives you precise GAQL control at the cost of building the safety layer yourself.
If you run client accounts where a misfire is unaffordable — or you just want your AI agent to think across your whole portfolio with the judgment of a senior PPC strategist — the Optmyzr MCP is the fastest path to an agent that is actually safe to give the keys to. It works with Claude Desktop (via custom Connectors or manual config), Claude Code, ChatGPT (via Developer Mode apps), and any MCP-compatible client. And, you can set it up in minutes: generate an API key from the MCP Integration panel in your Optmyzr settings, paste the server URL into your AI client, and your agent is operating across every active account on your Optmyzr profile.
Full MCP setup guide and instructions.
The data wall is coming down either way. The question is whether your agent walks through it with a plan, or a prompt and a prayer.
ASRock expands its AM5 motherboard lineup with its new X870E Taichi White model ASRock has officially launched its new X870E Taichi White motherboard, a high-end offering ready for AMD’s Ryzen 9 9950X3D2 Dual Edition and other future AMD Ryzen CPUs. On the hardware side, the X870E Taichi White features a robust 24+2+1 phase VRM, a […]
The post ASRock unveils ultra-high-end X870E Taichi White AM5 motherboard appeared first on OC3D.
Microsoft confirms a shift to a “quality” focus within its consumer business During Microsoft’s Q3 2026 earnings call, the company’s CEO, Satya Nadella, confirmed that they are doing “foundational work” within its consumer business. Microsoft plans to “win back fans” of Windows, Xbox, Bing, and Edge. By shifting its focus to quality and serving its […]
The post Microsoft CEO confirms “foundational work” to “win back” fans of Windows and Xbox appeared first on OC3D.
The PlayStation 5 DualSense controller features have been put to great use to enhance immersion in Saros, but for many players, adaptive triggers are only delivering frustration. The default configuration uses this feature on L2: a half-press activates Alt-Fire, while a full press through the resistance triggers your Power Weapon. In the heat of combat, it is incredibly easy to accidentally press too hard and waste your Power Weapon when you only intended to use an Alt-Fire ability. If you are struggling with these pressure levels, there is a much more reliable way to play. Separating Alt-Fire from the Trigger […]
Read full article at https://wccftech.com/how-to/saros-how-to-fix-alt-fire-controls-the-circle-button-trick/
While some of the shotguns are very solid weapon choices in the early game thanks to their powerful Alt-Fire modes, there comes a point in Saros where staggering an enemy is no longer enough. To clear the endgame biomes, defeat the final Overlords, and clear the game with ease, you will need the absolute best weapon: the Ripsaw Chakram. The Ripsaw Chakram is a high-skill, high-reward weapon that functions differently from anything else in Arjun’s arsenal. Once you "unwire" your brain from using the other more traditional weapons in the game, you will realize this is arguably the most powerful […]
Read full article at https://wccftech.com/how-to/saros-the-best-weapon-to-melt-bosses-ripsaw-chakram-guide/
BlockABot protects your website from scrapers, login attacks, and automated scanners. Add one script and start blocking malicious traffic in under a minute. No DNS changes, no downtime. See live threats, reduce server load, and keep your admin panels and APIs safe.
AMD’s “bridge die” tech could be revolutionary for Zen 6 AMD aims to deliver a “latency revolution” with Zen 6, at least according to the leaker “Moore’s Law is Dead”. With a “fundamentally better memory controller” and “bridge die” technology, AMD aims to greatly lower memory latencies and boost inter-CCD communication speeds. This addresses the […]
The post AMD to deliver “latency revolution” with Zen 6 Ryzen interconnect tech appeared first on OC3D.
As Nintendo is unlikely to ever release its games on PC, emulation has been the only way for users to enjoy them on hardware other than the original consoles for a long time. However, over the past few years, we have seen the rise of native PC ports, including ports of Zelda: Ocarina of Time and Majora's Mask, which offer advanced features over emulated versions, such as support for higher resolutions. The latest of these is a native port of the original Super Smash Bros., which also serves as an example of the magnitude of what AI can achieve for a project like this, […]
Read full article at https://wccftech.com/nintendo-native-pc-port-super-smash-bros-ai-generated/
The Exynos 2600 will eventually be replaced by the Exynos 2700, as Samsung expands its 2nm GAA chipset portfolio later this year with the introduction of a successor. Until now, we have only heard about rumors and leaks surrounding the SoC. However, during the Korean giant’s Q1 2026 earnings call, it was the first time that the company publicly revealed that it’s developing the Exynos 2700 and intends to extend its market share with the latter’s release. Exynos 2700 to make up a higher percentage of Galaxy S27 shipments, as Samsung looks to reduce dependency on Qualcomm and its Snapdragon family […]
Read full article at https://wccftech.com/samsung-reveals-exynos-2700-details-during-q1-2026-earnings-call/
Ever since the system's release in late 2020, developers have been hard at work expanding the PlayStation 5's functionality beyond what Sony intended, helped by leaks that could lead to permanent jailbreaks. Now, over five years since the console's release, those with an older phat system still running older versions of the system software can turn Sony's current generation into a highly capable Linux PC, and take advantage of its Zen 2 8 CPU cores and RDNA 2 GPU to run emulators and Steam games with impressive fluidity thanks to a new loader released online by Andy Nguyen a.k.a. TheFl0w. […]
Read full article at https://wccftech.com/playstation-5-linux-breakthrough-reshape-consoles/
It's been almost a year since Studio Asobo and Focus Home revealed Resonance: A Plague Tale Legacy, the third game in the peculiar action/adventure series. After a long silence, the French studio has shared a lot of info about this prequel, including its development status, in a fresh devblog. There's good news on that front, as Resonance: A Plague Tale Legacy is in the final production phase with the last recording sessions and the final notes of the score wrapping up. The blog post teases that "the release is almost here", suggesting it will be released this year, possibly ahead […]
Read full article at https://wccftech.com/resonance-plague-tale-legacy-release-almost-here/
AIKissfiy turns one or two photos into realistic kissing videos and GIFs. Upload clear face images, click Generate, and get results in 10–30 seconds. The platform supports JPG, JPEG, WEBP, and PNG, and lets you download MP4s to share on TikTok, Instagram, or Snapchat. Use it for romantic surprises, social content, character reimagining, or avatar interactions. Images are processed over encrypted connections and deleted within 24 hours.
URL to Video converts Shopify, Amazon, TikTok Shop, and Etsy product pages into ready-to-run video ads in minutes. It analyzes a product URL, extracts content, generates scripts, and assembles creatives using proven ad frameworks. You can access a library of winning ads to replicate styles, add UGC-style AI avatars, voice cloning, and text-to-speech, then export platform-ready MP4s. Ecommerce brands, dropshippers, and performance marketers use it to scale variations and launch campaigns faster.
Inquir is a serverless platform to deploy AI agents, REST APIs, cron jobs, and webhooks without managing infrastructure. Write functions in Node.js, Python, or Go, click deploy, and get a live endpoint with an API gateway, schedules, secret management, and observability built in. Hot containers keep frequent routes warm, isolation improves security, and predictable per-invocation pricing helps control cost. Teams can ship AI pipelines, Stripe webhooks, and backend tasks quickly and easily.
Open-source Terminal UI, just record & get exhaustive tests
The AI design agent that works on your canvas
Secret Mode has removed Denuvo from Star Wars Galactic Racer It looks like Denuvo has been removed from Star Wars Galactic Racer, the upcoming Star Wars-themed high-speed racing experience. All references to the controversial anti-tamper technology have been removed from the game’s Steam page. This suggests that the game’s publisher has decided against using Denuvo. […]
The post Denuvo Removed from Star Wars Galactic Racer ahead of launch appeared first on OC3D.
A Sony spokesperson has finally provided an official response to the PlayStation Online DRM controversy. Gamespot received the following statement after asking for some much-needed clarification: Players can continue to access and play their purchased games as usual. A one-time online check is required to confirm the game's license, after which no further check-ins are required. The controversy began in late April when several PlayStation users noticed a 30-day countdown timer appearing on the license information page of newly purchased digital games on PS4 and PS5. The timer displayed a "Valid Period" start and end date, along with "Remaining Time," […]
Read full article at https://wccftech.com/sony-playstation-drm-official-response-one-time-check/
A French retailer is now selling defective RTX 5090 GPUs starting at €1499, but once purchased, you can't even return them for a refund. Defective RTX 5090 GPUs Cost Half As Much As A New RTX 5090, But You'll Be Lucky To Get One Running LDLC, a French retailer, has started selling defective NVIDIA GeForce RTX 5090 GPUs. The term defective could mean a lot of things, but to make things simple, LDLC says that none of the cards work, and it's up to buyers to figure out a way to get them to work. The two variants that have […]
Read full article at https://wccftech.com/french-retailer-lists-defective-nvidia-rtx-5090-gpus-starting-at-e1499-no-refunds/
TrackinV helps you track your full investment portfolio across multiple brokers in one dashboard. Import transactions via CSV or manual entry and see time-weighted returns, benchmark comparisons to S&P 500, MSCI World, and European indices, FX impact, and dividend income. Use portfolio analytics to view sector and geographic allocation, top and bottom performers, and realized vs unrealized P/L. The default currency is EUR but it supports any currency worldwide, so you can compare performance and make better decisions faster.
Learn about AI & watch text become tokens in a node graph
Explore the entire universe in your browser, in real 3D
Turn members into a living relationship graph
Business that Runs Itself
A 128B model for coding, reasoning, and long tasks
Autonomous, goal-driven testing for web & mobile apps
Pin, group, and remove apps easily from your dock
The event invite that actually gets people to show up
Extract web data and automate browsers, no scraper required.
Builds entire dashboards from a single prompt
An open-source spec for Codex orchestration
Real profit tracking for WooCommerce + Google Ads.
Your all-in-one video workflow
AI chat and API that keeps your conversations fully private
One API to build production-ready voice agents
Open-source file storage, sharing, collaboration & syncing
Turn Gmail into Google Tasks with AI-powered
Create studio-quality launch videos with AI
Generate production-ready files directly in your chat
Markdown wit LaTeX in a modern typesetting system
Turn product releases into feature adoption
Non-invasive AI secretary to help without context switching
Deploy pre-built voice and chat agents for support, sales
A foldable phone built for pen-first productivity
AI-native collaborative editor
AI-assisted music creation with built-in discovery, royalty
Start your business using AI in Claude and Replit
Web and MCP research agents, now in Gemini API
The ongoing DRAM shortages are now apparently compelling Apple to aggressively water down its ambitions for the upcoming A20 chip that is slated to power the base iPhone 18, clearly illustrating that even Apple is not entirely immune to the vagaries of the DRAM market these days. Apple's upcoming A20 chip is unlikely to leverage the new WMCM packaging tech that unlocks an unprecedented level of versatility Up until recently, Apple's upcoming A20 chip was expected to make a switch from TSMC's InFO (Integrated Fan-Out) packaging tech, which integrates components like the AP and DRAM onto a single die without […]
Read full article at https://wccftech.com/apple-a20-chip-likely-to-miss-out-on-new-wmcm-packaging-tech-that-allows-for-various-cpu-gpu-core-combos/
ClientProfit helps solo consultants and freelancers track billable and non-billable hours, reimbursable expenses, and overhead to show real profitability per client. It calculates effective hourly rates, allocates overhead automatically, and ranks clients by profit so you know where to focus. You can log expenses, generate invoice-ready reports, and view multi-client dashboards. Start free for up to 2 clients, then upgrade for unlimited clients and advanced insights.
PayAnchor is a paycheck-first budgeting app for workers paid on any schedule. It shows you exactly what is left after every bill — your cushion — and how much is safe to spend each day until your next payday. No bank connection is required; you enter your pay and bills manually and see your cushion instantly. Free to start, Pro at $4.99 per month.
Samsung has broken all records with its financial and operational performance in the first quarter of 2026, as the relentless AI-driven benevolent tailwinds show no sign of losing momentum. To get an idea of just how wild Q1 2026 was for Samsung, consider that its semiconductor operating profit surged by an unbelievable 48x year-over-year on record-breaking demand for memory products, with total operating profit exploding by 756 percent on an annual basis. Samsung Electronics Q1 2026 earnings highlights Here are the main highlights of Samsung's latest earnings disclosure: Commentary Do note that Samsung had pre-released its quarterly sales and total […]
Read full article at https://wccftech.com/samsung-q1-2026-earnings-conventional-dram-more-profitable-than-hbm-right-now/
QueryPlane is an AI-native workspace for querying data, building dashboards, and shipping internal apps on top of your databases. Connect PostgreSQL, MySQL, MongoDB, and warehouses, then generate SQL from plain English, scaffold charts, and compose forms and tables with a drag-and-drop builder. Run it self-hosted to keep data in your infrastructure, enforce role-based access, and track changes with version history. Ship secure, schema-aware tools in hours instead of weeks.
PromptArch helps you build, score, and optimize prompts and context files through guided workflows. Choose from domain-specific builders for agents, coding, marketing, and more, then generate model-tailored instructions with quality scoring and a reusable library. It also creates ready-to-use configuration files for tools like Claude Code, Cursor, Windsurf, Copilot, and ChatGPT. Teams can deploy it company-wide with shared credits and custom domains using pay-per-use pricing.
Shake It On lives in your Mac menu bar and keeps your computer awake by subtly moving the cursor with organic, human-like motion. You can set the shake distance and intervals, and control exactly when it runs with smart conditions like audio playing, CPU load, app matching, Wi‑Fi, or display status.
It pauses automatically on battery, when the screen locks, during Focus or camera use, and can follow a schedule. You can launch it at login, toggle it with a global shortcut, and forget about it. Pay once for lifetime updates, with no subscription.
Listo is a shared memory app for you and your friends. The problem is that the best nights out disappear into scattered photos and old group chats. Listo lets you discover local events, see which friends are going, and automatically build a visual timeline of every experience you've shared together. It creates a living record of your social life. You can add any experience to your timeline in seconds, collaborate with friends and family to crowdsource photos and videos, share with everyone or custom groups, or keep it just for yourself. You can also see which friends were interested in the same events.
The Instagram and Facebook owner saw its first decline in daily active usage ever, which it claims is due to new restrictions in some regions.
The U.S. Department of Justice reported that the social media giant was among several groups that contributed to the international operation.
The research underlines a growing body of evidence showing the platform has become more politically contentious since the change from Twitter.
A new short-form video creation app called Divine offers an open-source, artificial intelligence-free platform with an archive of more than 500,000 restored Vines.
The update allows subscribers to watch up to four streams at a time on a single screen, and works on most living room and mobile devices.
Preliminary findings indicate the company was unable to prevent children under the age of 13 from accessing Facebook and Instagram.
Elegoo launches multicolour Canvas add-on for its Centauri Carbon 3D printer Better late than never. Over a year after the Centauri Carbon’s launch, Elegoo has officially released their Canvas multicolour add-on for their Centauri Carbon 3D printer (see our review here). This comes after the launch of Elegoo’s Centauri Carbon 2, a new 3D printer […]
The post Elegoo unlocks the Centauri Carbon 1’s Multicolor potential with Canvas add-on appeared first on OC3D.
Super Smash Bros’ first unofficial PC port has arrived Native PC ports of Nintendo 64 classics have become increasingly common, and it was only a matter of time before Super Smash Bros got an unofficial PC version. Using AI, a developer called JRickey has created a working PC version of Super Smash Bros called “BattleShip“. […]
The post Super Smash Bros first unofficial PC port is now available appeared first on OC3D.
The latest PowerToys update brings new tools like Power Display for multi-monitor brightness control and Grab and Move for simpler window handling, along with refinements to modules like Command Palette and Keyboard Manager.
TRIODE CFC is a live visual programming tool for building automation, smart-home logic, and connected device systems without getting buried in code. Wire nodes together, watch your program run in real time, troubleshoot visually, control it from web and mobile dashboards, and let AI draft logic you can inspect and edit on the grid.
Flynomi helps travelers find business and first class flights for less by comparing discounted cash fares, award seat availability, and buy-miles routes in one search. It checks each option against public retail pricing so travelers can quickly see which routes actually save money. Bookings are fulfilled through an IATA-accredited travel agency, and Flynomi also shows award and buy-miles options even when it does not earn a fee.
Alphabet's Q1 2026 earnings put Google Search revenue at $60.4 billion, up 19% YoY, as Pichai tied AI experiences to higher Search usage.
The post Google Search Revenue Hits 19% Growth: What Pichai’s AI Claims Really Mean appeared first on Search Engine Journal.
It sounds like Apple is giving up on virtual reality, at least for now According to a report from MacRumors, Apple has “given up” on its Vision Pro VR headset following disappointing sales. The outlet called the VR headset’s recently released M5 version a “flop”, stating that the model “failed to revitalise interest in the device”. Apple’s […]
The post Apple has “given up” on its Vision Pro – report claims appeared first on OC3D.
Update 29/04/2026: Following the publication of the earnings and this article, Xbox CEO Asha Sharma commented on the revenue decline, saying the division knows "we have work to do to earn every player today and into the future." "Xbox earnings today. While we have made progress expanding the business and our margins, player and revenue growth has not yet met our ambition. We know we have work to do to earn every player today and into the future." Original Story: Microsoft reported its fiscal year 2026 third-quarter earnings today, and when it comes to Xbox revenue, while new chief executive […]
Read full article at https://wccftech.com/xbox-revenue-down-again-hardware-revenue-down-microsoft-fy26-q3-earnings/
Vaultmate lets you compare Steam libraries, reveal hidden stats, and discover your best co-op options. Connect with Steam, share a unique link, and instantly see overlap, combined hours, compatibility scores, and games ranked by what you both actually play. Explore personalized recommendations based on real playtime and keep your data private while you find the next game to enjoy together.
Allontas is a budgeting app that helps you plan before you spend, not after. It compares grocery prices across nearby stores using your actual shopping list, lets you plan upcoming expenses like birthdays and holidays before they hit your budget, and gives AI-powered insights into where your money is going.
You can connect your accounts to reconcile real transactions against your plan, set preferred stores for routine shopping, and see weeks ahead instead of reacting after the fact. Build a baseline with income and recurring bills, then adjust with confidence as the month unfolds.
