'Unlike anything youβve ever seen before' I tested Acer's very weird AI-powered e-bike for a whole month
Bethesda Game Studios boss Todd Howard spent an hour today talking about some of Bethesda's biggest franchises, including both Fallout and The Elder Scrolls, in an interview with Kinda Funny Games. While Howard didn't share too many details about upcoming projects, like refusing to elaborate beyond saying the team has "multiple" Fallout projects in the works, we did get some insight into how he prefers to approach game reveals, how the studio operates, and a tease that more Starfield news would be coming "soon." That said, Howard did add that there is no "Starfield 2.0" coming. Starting with The Elder [β¦]
Read full article at https://wccftech.com/majority-bethesda-working-on-the-elder-scrolls-6-no-starfield-2-0-coming-todd-howard/


Google Ads now surfaces Performance Max (PMax) campaign data in the βWhere ads showedβ report, giving advertisers clearer insight into placements, networks, and impressions β data that was previously unavailable.
Whatβs new. The update makes it possible to see exactly where PMax ads are appearing across Googleβs network, including search partners, display, and other placements. Advertisers can now track impressions by placement type and network, helping them understand how campaigns are performing in detail.

Why we care. This update finally gives visibility into where PMax campaigns are running, including Google Search Partners, display, and other networks. With placement, type, and impression data now available, marketers can better understand campaign performance, optimize budgets, and make informed decisions instead of relying on guesswork. It turns previously opaque PMax reporting into actionable insights.
User reaction. Digital marketer Thomas Eccel shared on LinkedIn that the report was historically empty, but now finally shows real data.
The bottom line. This update gives marketers actionable visbility into PMax campaigns, helping them understand placement performance, optimize spend, and identify which networks are driving results β all in one report.
Peec AI analyzed fan-out queries from 10M+ ChatGPT prompts and found 43% of background searches ran in English, even for non-English prompts.
The post ChatGPT Search Often Switches To English In Fan-Out Queries: Report appeared first on Search Engine Journal.
Publisher CI Games and developer Hexworks have released the minimum and recommended PC system requirements for Lords of the Fallen 2, the sequel to 2023's Soulslike game. The specs are listed on the game's Epic Games Store page and match the previous game's CPU and RAM requirements. However, the GPU requirements have increased: from Lords of the Fallen's GTX 1060/RX 590 and RTX 2080/RX 6700 to Lords of the Fallen 2's RTX 2060/RX 5700 and RTX 3080/RX 6800 XT. As a reminder, the game is powered by Epic's Unreal Engine 5, just like the previous installment. Spec Minimum Recommended OS [β¦]
Read full article at https://wccftech.com/lords-of-the-fallen-2-minimum-recommend-pc-specs/

The new State of Video Gaming 2026 Report from Matthew Ball, chief executive officer at Epyllion, is now available, and as usual, there are more than a few solid insights and takeaways to make note of. Like how software sales for the global video game market in 2025 rose by 5.3% to a staggering $195.6 billion, but at the same time, funding from private investors hit another major dip, dropping by 55%. Console software sales also hit an all-time high, recovering from the post-COVID slump to hit $41.6 billion in spending, a 2.3% increase compared to the highs of the [β¦]
Read full article at https://wccftech.com/global-video-game-content-sales-grew-to-195-6b-in-2025-while-private-funding-took-a-massive-dip/

LinkedIn Premium has seen a 50% rise in subscriptions over the past two years.

Organic search clicks are shrinking across major verticals β and itβs not just because of Googleβs AI Overviews.
Why we care. You arenβt just competing with AI Overviews. Youβre competing with Googleβs aggressive expansion of paid search real estate. Across every vertical analyzed, text ads gained more click share than any other measurable surface. In product categories, paid listings now capture roughly one-third of all clicks. As a result, several brands that are losing organic visibility are increasing their paid investment.
By the numbers. Across four verticals, text ads showed the most consistent, measurable click-share gains.
Classic organic is down everywhere. Year-over-year classic organic click share declined across all four verticals. Headphones saw the steepest drop. Even online games β historically organic-heavy β lost double digits. In two verticals (headphones, jeans), total clicks also fell.
Text ads are the biggest winner. Text ads gained share in every vertical; no other surface showed this level of consistent growth:
In product categories, PLAs compounded the shift:
AI Overviews surged unevenly. The presence of Google AI Overviews expanded sharply, but varied by vertical:
Zero-click searches are high β and mostly stable. Except for online games, zero-click rates didnβt change dramatically:
Brands losing organic traffic are buying it back. In headphones:
In jeans:
In online games:
The result? Weβre seeing a self-reinforcing cycle, according to the studyβs author, Aleyda Solis:
About the data. This analysis used Similarweb data to examine SERP composition and click distribution for the top 5,000 U.S. queries in headphones, jeans, and online games, and the top 956 queries in greeting cards and ecards. It compares January 2025 to January 2026, tracking how clicks shifted across classic organic results, organic SERP features, text ads, PLAs, zero-click searches, and AI Overviews.
Google's Jeff Dean explains why latency and cost make Flash Google's production tier for AI search, and why models are built to retrieve, not memorize.
The post Why Google Runs AI Mode On Flash, Explained By Googleβs Chief Scientist appeared first on Search Engine Journal.
CI Games release Lords of the Fallen 2βs PC system requirements CI Games has released Lords of the Fallen 2βs PC system requirements on the Epic Games Store, unveiling the levels of PC power that gamers will require to run this action-RPG sequel. On PC, Lords of the Fallen 2 (LOTF2) is expected to launch [β¦]
The post Is your PC ready for Lords of the Fallen 2? appeared first on OC3D.
Pixel 10a is here! Our newest, most durable A-series phone has our best-in-class camera system and many of our most advanced AI tools, powered by our custom-built Googleβ¦ Meta also shut down the separate Messenger app for Windows and Mac last year.Β
Reddit is already seeing an influx of interest in the event.Β
The platform's add-on subscription has become a valuable revenue driver for the business.
The deal will ensure that Meta can access the latest hardware for its expanding AI projects.Β
YouTube's also bringing its AI chatbot to Connected TV devices.

Microsoft Advertising is rolling out multi-image ads for Shopping campaigns in Bing search results, giving ecommerce brands a richer way to showcase products and capture shopper attention before the click.
Whatβs new. Advertisers can now display multiple product images within a single Shopping ad, letting shoppers preview different angles, styles or variations directly in search.
The format is designed to make ads more visually engaging and informative, helping consumers compare options quickly without leaving the results page.
How it works:

Why we care. Multi-image ads could increase engagement and purchase intent by presenting a fuller picture of a product. More visuals can highlight features, colors and design details that a single image might miss.
Discovery. The feature was first spotted by digital marketer Arpan Banerjee who shared spotting it on LinkedIn.
The bottom line. Multi-image Shopping ads give retailers more creative flexibility and shoppers more context at a glance β a shift that could improve ad performance and reshape how products compete in search results.

A new applied learning path from Microsoft Advertising is designed to help marketers get more value from Performance Max campaigns through hands-on, scenario-based training β not just theory.
Whatβs happening. The new Performance Max learning path bundles three progressive courses that focus on real-world setup, optimization and troubleshooting. The structure is meant to let advertisers learn at their own pace while building practical skills they can immediately apply to live campaigns.
Each course targets a different stage of expertise, from beginner fundamentals to advanced strategy and credentialing.
Whatβs included:
Course 1: Foundations
Course 2: Hands-on setup
Course 3: Advanced implementation
How it works. The third course introduces embedded support features that let learners access targeted educational resources mid-assessment via a βHelp me understandβ option. Users can review specific concepts in context and return directly to their questions.
The benefit. Learners can spend more time on weak areas while quickly progressing through familiar material.
Credential payoff. Completing the advanced course unlocks the chance to earn a Performance Max badge. The credential signals proficiency in implementing and optimizing PMax campaigns and applying best practices in real-world scenarios.
The badge is digitally shareable and verifiable through Credly, making it easy to display on professional platforms like LinkedIn.
Why we care. This update from Microsoft Advertising makes it faster and easier to build real, job-ready skills for running Performance Max campaigns β not just theoretical knowledge. The applied, scenario-based training helps marketers avoid common setup mistakes, optimize campaigns more confidently, and improve performance in live accounts.
Plus, the shareable credential adds professional credibility, signaling proven expertise to clients and employers.
The bottom line. The new learning path aims to close the gap between training and execution. By combining applied scenarios, embedded support and credentialing, it offers a structured route for advertisers to build confidence β and prove it β in Performance Max campaign management.
Earlier this week, developers RocketWerkz and GRIP Studios announced that the console release for the popular survival game, ICARUS, would be delayed by one month, from its initial February 26, 2026, release date to March 26, 2026. Along with announcing the delay, the studios also confirmed that the team would host a Reddit AMA on r/Survival Gaming, during which DayZ creator Dean Hall (who is also the creator of ICARUS) called on consumers to help "normalize delaying games." The statement doesn't come in the form of an answer from Hall, but rather as a preface before the AMA even kicks [β¦]
Read full article at https://wccftech.com/dayz-creator-calls-on-consumers-to-help-normalize-delaying-games/

Today, Canadian developer Neojac Entertainment (known for the games Junk Survivor and Athos) announced that its next game, Frontier Legends, will debut this Spring on Early Access. As you could probably guess from the title, it is a Western game, and also an open world title with survival and adventure elements. It casts players as a greenhorn settler fresh off the train, dropped into the rugged and unforgiving American West with nothing but ambition and a will to survive. Players can then become a hunter tracking game through dense wilderness, a trader running goods between settlements, a lawman keeping order [β¦]
Read full article at https://wccftech.com/frontier-legends-open-world-survival-western-game-launches-early-access-this-spring/

If you needed any reference as to how far behind Apple currently is in the ongoing AI race, look no further than the miniscule AI capabilities that the iPhone maker just rolled out with much fanfare for its Apple Music app, and then compare them with Google's latest model that is now creating entire tracks from scratch. Apple Music now uses AI to create playlists as Google's models are now building entire 30-second song tracks As we noted recently, with the iOS 26.4 update, the Apple Music app will let you create a playlist with a text-based prompt. Basically, you [β¦]
Read full article at https://wccftech.com/google-just-put-apple-musics-ai-shenanigans-to-shame/

Highguard has become one of the most talked-about games to kick off 2026, but all for the wrong reasons. After its maligned reveal at The Game Awards, despite its launch drawing 97K concurrent players on Steam alone, those players didn't stick around, and it lost the vast majority of its player base almost immediately. It was review-bombed on Steam, and barely two weeks after it had arrived on PC, PS5, and Xbox Series X/S, "most" of the team at developer Wildlight Entertainment had been laid off. After one of the laid-off developers took to X (formerly Twitter) to call out [β¦]
Read full article at https://wccftech.com/ex-highguard-staff-share-concept-art-and-videos-of-unreleased-in-engine-characters/

More mechanically complex than its predecessor, Transport Fever 3 lets players realize their tycoon dreams and build entire industries from the ground up.
Read full article at https://wccftech.com/freight-eningly-good-transport-fever-3-pc-hands-on-preview/


ChatGPT heavily favors the top of content when selecting citations, according to an analysis of 1.2 million AI answers and 18,012 verified citations by Kevin Indig, Growth Advisor.
Why we care. Traditional search rewarded depth and delayed payoff. AI favors immediate classification β clear entities and direct answers up front. If your substance isnβt surfaced early, itβs less likely to appear in AI answers.
By the numbers. Indigβs team found a consistent βski rampβ citation pattern that held across randomized validation batches. He called the results statistically indisputable:
At the paragraph level, AI reads more deeply:
The big takeaway. Front-load key insights at the article level. Within paragraphs, prioritize clarity and information density over forced first sentences.
Why this happens. Large language models are trained on journalism and academic writing that follow a βbottom line up frontβ structure. The model appears to weight early framing more heavily, then interpret the rest through that lens.
What gets cited. Indig identified five traits of highly cited content:
About the data. Indig analyzed 3 million ChatGPT responses and 30 million citations, isolating 18,012 verified citations to examine where and why AI pulls content. His team used sentence-transformer embeddings to match responses to specific source sentences, then measured their page position and linguistic traits such as definitions, entity density, and sentiment.
Bottom line. Narrative βultimate guideβ writing may underperform in AI retrieval. Structured, briefing-style content performs better.
The report. The science of how AI pays attention

Google Ads has launched a new Results tab inside its Recommendations section that shows advertisers the measured performance impact after they apply bid and budget suggestions.
How it works. After an advertiser applies a bid or budget recommendation, Google analyzes campaign performance one week later and compares it to an estimated baseline of what would have happened without the change. The system then highlights the incremental lift, such as additional conversions generated by raising a budget or adjusting targets.

Where to find it. Impact reporting appears in the Recommendations area of an account. A summary callout shows recent results on the main page, while a dedicated Results tab provides a deeper breakdown grouped by Budget and Target recommendations, with filtering options for each.
Why we care. Advertisers can now see whether Googleβs automated recommendations actually drive incremental results β not just projected gains β helping teams evaluate the business value of platform guidance.
What to expect. Results are reported as a seven-day rolling average measured across a 28-day window after a recommendation is applied. Metrics focus on the campaignβs primary bidding objective β such as conversions, conversion value, or clicks.
Between the lines. The feature adds a layer of accountability to automated recommendations at a time when advertisers are relying more heavily on platform-driven optimization.
Spotted by. Hana KobzovΓ‘ founder of PPCNewsFeed who shared a screenshot of the help doc on LinkedIn.
Help doc. Even though there isnβt a live Google help doc, a Google spokesperson has confirmed that thereβs an early pilot running.


Nvidia plans to βsurprise the worldβ at GTC 2026 Next month, Nvidia will host its annual GTC (GPU Technology Conference).Β According to Korean media (as reported byΒ WCCFTECH), Nvidiaβs CEO, Jensen Huang, said the company plans to announce a chip that will βsurprise the worldβ at the event. Unfortunately, Huang did not provide any details about the [β¦]
The post Jensen Huang claims that Nvidia will βsurprise the worldβ with a new chip at GTC 2026 appeared first on OC3D.
Publisher Nacon and developer Big Bad Wolf have debuted a new gameplay trailer for Cthulhu: The Cosmic Abyss, just ahead of when players will get a chance to try out the game themselves when a demo is released as part of Steam Next Fest on February 23, 2026. The trailer digs into one of the game's core mechanics, investigations, as the player character Noah investigates an underwater mining station that, at least at first glance, seems to be abandoned. The trailer showcases the dark corridors of the mining station and shows Noah exploring the hallways, scanning and analyzing clues, before [β¦]
Read full article at https://wccftech.com/cthulhu-the-cosmic-abyss-gameplay-trailer-ahead-of-steam-next-fest-demo/

NVIDIA has sold off its 'last bits' of stake in ARM this week, coming a long way from actually acquiring the company a few years ago. NVIDIA's x86 Deal With Intel Is an 'Indirect Indication' That ARM Alone Cannot Handle the Agentic AI Buildup NVIDIA's partnership with ARM has been pivotal in the modern-day AI buildout, as the company's CPU architecture has enabled it to deliver impressive offerings under the Grace Hopper and Blackwell lineups. More importantly, ARM will also play an essential role in NVIDIA's upcoming Vera CPUs, as the importance of such processing units has been rising significantly. [β¦]
Read full article at https://wccftech.com/nvidia-closes-the-arm-chapter-by-selling-its-remaining-stake/

The near-constant dribble of leaks over the past few weeks left little to imagination when it comes to the Pixel 10a. And now, Google has finally launched its latest Pixel-branded budget smartphone, bringing to the proverbial table a relatively hefty battery, albeit housed within the now-archaic form factor, but embellished with a number of handy AI features. Behold Google's Pixel 10a Physical features The Pixel 10a features a "perfectly flat" plastic back, where the camera module sits flush with the rear plane. It also has a Corning Gorilla Glass 7i cover glass, with a 6.3-inch FHD+ AMOLED "Actua" screen that [β¦]
Read full article at https://wccftech.com/google-pixel-10a-goes-live-with-the-same-archaic-form-factor-tensor-g4-chip-and-hefty-discounts/

An ad for Call of Duty: Black Ops 7 has been banned in the UK after the Advertising Standards Authority (ASA) deemed that it was "irresponsible and offensive" for centring around humour that was "generated by the humiliation and the implied threat of painful, non-consensual penetration" of a man in the ad. Spotted by the BBC, the ad in question is part of Call of Duty: Black Ops 7's 'Replacers' ad campaign, which featured Hollywood actors like Terry Crews, Nikki Glaser, and Peter Stromare. While there are several 'Replacers' ads, the one that got banned depicts Glaser and Stromare's characters [β¦]
Read full article at https://wccftech.com/irresponsible-and-offensive-call-of-duty-black-ops-7-ad-banned-in-uk-for-joking-about-sexual-violence/

The semiconductor business belonging to Samsung is experiencing a comeback wave, with the major contributor to this segment being increased RAM and NAND flash prices because of the ongoing shortage, which the Korean giant has capitalized on. However, the company isnβt stopping here because it has set lofty goals towards accumulating a healthy margin for the year, with estimates projecting that an operating profit of $69 billionΒ or a 121 percent annual increase will be attained in 2026. To reach this figure, a new report states that Samsung will make adjustments to its strategies and production lines for its semiconductor division [β¦]
Read full article at https://wccftech.com/samsung-semiconductor-business-aiming-for-50-percent-profit-margin/

The latest Windows 11 Release Preview build shows what to expect in the next feature drop, and it will mostly include taskbar updates. Windows 11's New Taskbar Improvements Bring a Built-in Speed Test and Other Enhancements Microsoft has rolled out its latest Windows 11 builds 26100.7918 and 26200.7918 to the Release Preview Channel, which has confirmed various refinements in the OS. As per the blog post, Microsoft is testing a new wave of updates for the Windows 11 taskbar as well as for the core experience in general in the Release Preview Channel. One of the most convenient and useful [β¦]
Read full article at https://wccftech.com/microsoft-adds-built-in-internet-speed-test-for-windows-11-taskbar-in-latest-preview-build/

Although soaring RAM prices haven't yet had a widespread impact on the prices of current-generation consoles, it's highly probable that console manufacturers will eventually be forced to raise hardware prices. However, Sony has plans in place to minimize the effects of these high component costs, though it's definitely not good news for all current PlayStation 5 owners. As reported by Automaton, during Sony's latest earnings call, CFO Lin Tao addressed the current situation, stating that the company has secured the memory needed for the end-of-the-year sales season in the next fiscal year. However, the company plans to "minimize" the impact [β¦]
Read full article at https://wccftech.com/playstation-5-price-increases-monetizing-install-base/

Lyria 3 is now available in the Gemini app. Create custom, high-quality 30-second tracks from text and images. 
We need to have a talk about KPIs and AI search.
Iβve observed numerous SEO professionals on LinkedIn and at conferences talking about βranking No. 1 on ChatGPTβ as if itβs the equivalent of a No. 1 ranking on Google:

On Google, being the first result is often a golden ticket.
Going from No. 2 to No. 1 in Google search will often result in 100%-300% increases in traffic and conversions.
This is almost certainly not the case with AI responses β even if they werenβt constantly changing.
Our teamβs research shows AI users consider an average of 3.7 businesses before deciding who to contact.
Being the first result in that list on ChatGPT isnβt the golden ticket it is in Google search.
This being the case, the focus of AI search really should be on βinclusion in the consideration setβ β not necessarily being βthe first mentioned in that setβ β as well as crafting what AI is saying about us.
Over the past several months, my team has spent more than 100 hours observing people use ChatGPT and Googleβs AI Mode to find services.
One thing came into focus within the first dozen or so sessions: User behavior on AI platforms differs from Google search in ways that extend far beyond using βnatural languageβ and having conversations versus performing keyword searches.
Which is overstated, by the way. About 75% of the sessions we observed included βkeyword searches.β
One key difference: Users consider more businesses in AI responses than in organic search.
It makes sense β itβs much easier to compare multiple options in a chat window than to click through three to five search results and visit each site.
Dig deeper: From searching to delegating: Adapting to AI-first search behavior
In both Google AI Mode and ChatGPT, users considered an average of 3.7 businesses from the results.

This has strong implications for the No. 1 result β as well as No. 4.
The value of appearing first drops sharply β and the value of appearing lower rises β when, in 75% of sessions, users also consider businesses in Positions 2 to 8.
Whatβs driving conversions isnβt your position in that list.
First of all, these arenβt rankings.
They are a list of recommendations that will likely get shuffled, reformatted from a list to a table, and completely changed, given the probabilistic nature of AI.
That aside, AI chat makes it much easier to scan and consider more options than Google search does.
Letβs look at the Google search results for βfractional CMO.β

If a user wants to evaluate multiple fractional CMO options for their startup, itβs more work to do so in Google Search than in ChatGPT.
Only two options appear above the fold, and each requires a click-through to read their website content.
Contrast this with the experience on ChatGPT.

The model gave them eight options, along with information about each one.
Itβs easy to read all eight blurbs and decide whom to explore further.
Which leads to the other thing we really need to focus on: what the model is saying about you.
Many search marketers focus on rankings and traffic, but rarely on messaging and positioning.
This needs to change.
In the case of the response for an ophthalmologist in southern New Jersey, you get an easily scannable list:

Roughly 60% make their entire decision based on the response, without visiting the website or switching to Google, according to our study.
So how do you drive conversion?
Deliver the right message β and make sure the model shares it.
Dr. Lanciano may be the best glaucoma specialist in the area. But if the model highlights Ravi D. Goel and Bannett Eye Centers for glaucoma care, and thatβs what the user needs, theyβll go there.
Bannett Eye Centers appears last in the AI response but may still win the conversion because of what the model says about it β something that rarely happens in Google Search.
Visibility doesnβt pay the bills. Conversions do. And conversions donβt happen when customers think someone else is a better fit.
Dig deeper: How to measure your AI search brand visibility and prove business impact
Weβre still thinking about AI search the way weβve thought about SEO.
In SEO, the top result captures most of the traffic. In AI search, it doesnβt.
AI users consider more available options.
Responses β and their format β change dramatically with each request.
βWinningβ in AI search means getting into the consideration set and being presented compellingly.
Itβs not about being first on a list, especially if whatβs said about you misses the mark.
In other words, SEOs who think like copywriters and salespeople will drive outcomes for their organizations.
Dig deeper: Is SEO a brand channel or a performance channel? Now itβs both

AMD engineer calls βBSβ on Instinct MI455X delay reports A report from SemiAnalysis has stated that βmanufacturing delaysβ are impacting the βmass production rampβ of AMDβs Instinct MI455X. It is claimed that AMD will only be able to deliver βengineering samples and low volume productionβ for its first rack-scale MI455X UALoE72 systems in Q2 2026. [β¦]
The post βBSβ β AMD engineer refutes claims of Instinct MI455X delays appeared first on OC3D.
Windows 11 Release Preview gains Internet Speed Test and more Microsoft has released a new Windows 11 Insider build that adds several new features and upgrades to the OS. For starters, this new version of Windows 11 will add an internet speed test to the OSβ taskbar, allowing users to test their internet connection on [β¦]
The post Microsoft preps Internet Speed Test for full Windows release appeared first on OC3D.
REPLACED, the 2.5D platformer from Sad Cat Studios that we've been waiting for since 2021 has been delayed once again, though it seems like this delay will be its last one ahead of its release. Now, instead of arriving on its previously set March 12, 2026, date, it'll hit PC and Xbox Series X/S on April 14, 2026. Earlier this month, ahead of the upcoming demo-fest of the year's first Steam Next Fest, Sad Cat Studios put out a demo for REPLACED (which you can still go play now), and according to the studio's statement, part of this delay is [β¦]
Read full article at https://wccftech.com/replaced-delayed-a-few-more-weeks-sad-cat-studios-cyberpunk-platformer/

The reveal of Star Wars: Galactic Racer at The Game Awards 2025 was a nice surprise for all those gamers who were dearly missing a Star Wars racing game. The last one to be released was Star Wars: Racer Revenge, launched in February 2002 for the PlayStation 2 console. It's been an age, at least as far as gaming goes. Earlier this month, the developers at Fuse Games even confirmed that podracing would indeed be featured in the game, alongside other vehicle types. Then, last week, a new promising gameplay trailer was shared during the State of Play broadcast. Now, [β¦]
Read full article at https://wccftech.com/star-wars-galactic-racer-dev-connects-season-pass-to-f2p-games/

If there's one thing that should be known about me, it's that I am a Trekkie. You can keep your Obi-Wan, the Solos, and the Skywalkers. I will pick Jean-Luc Picard, Benjamin Sisko, and Kathryn Janeway every day of the week. That's what makes Star Trek: Voyager - Across the Unknown such a compelling title to me. Even if I hadn't been sent a copy to review, I would have bought this because, as I've said, Star Trek. Now, with my love of the source material out in the open, I'm going to say that this has the potential to [β¦]
Read full article at https://wccftech.com/review/star-trek-voyager-across-the-unknown-review/

Waze is once again teaming up with World of Warcraft, this time bringing a darker presence to your turn-by-turn directions: the Harbinger of the Void, Xalβatath.After thβ¦ 
Perplexity is abandoning advertising, for now at least. The company believes sponsored placements β even labeled ones β risk undermining the trust on which its AI answer engine depends.
Why we care. If Perplexity remains ad-free, brands lose paid access to a fast-growing audience. The company previously reported that it gets 780 million monthly queries. With sponsored placements gone, brands have no way to get visibility inside Perplexityβs answers other than via organic citations.
What changed. Perplexity was one of the first AI search companies to test ads, placing sponsored answers beneath chatbot responses. It said at the time that ads were clearly labeled and didnβt influence outputs. Executives now say perception matters as much as policy.
Meanwhile. Perplexityβs exit comes as other AI platforms experiment with ads.
Perplexity says subscriptions are its core business. It offers a free tier and paid plans from $20 to $200 per month. It has more than 100 million users and about $200 million in annualized revenue, according to executives.
The report. Perplexity drops advertising as it warns it will hurt trust in AI (subscription required)

Search behavior is no longer just people typing keywords into Google. Itβs people asking questions and, in some cases, outsourcing their thinking to LLMs.
As Google evolves from a traditional search engine into a more question-and-answer machine, businesses need a robust, time-tested way to respond to customer questions.
AI changes how people research and compare options. Tasks that once felt painful and time-consuming are now easy. But thereβs a catch. The machine only knows what it can find about you.
If you want visibility across the widest possible range of questions, you need to understand your customersβ wants, needs, and concerns in depth.
Thatβs where the βthey ask, you answerβ framework comes in. It helps businesses identify and create the many questions and answers prospective customers already have in mind. Always useful, itβs a practical, actionable way forward in the age of AI.
βThey Ask, You Answerβ (TAYA) is a book by Marcus Sheridan. (I strongly recommend you read it.)
The concept is simple: buyers have questions, and businesses should answer them honestly, clearly, and publicly β especially the ones sales teams avoid.
No dodging. No βcontact us for a quote.β No βit dependsβ β sorry, SEO folks.
TAYA isnβt just an inbound marketing strategy. Itβs a practical way to map a customer-facing content strategy with an E-E-A-T mindset.
The framework centers on five core content categories:
These categories align with the moments when a buyer is seeking the best solution, reducing risk, and making a decision.
More of those moments now happen inside AI environments β on your smartphone, your PC, in apps like ChatGPT or Gemini, or anywhere else AI shows up, which at this point is nearly everywhere.
At their core, these are question-and-answer machines. You ask. The machine answers. Thatβs why the TAYA process fits so well.
The modern web is chaotic. Finding what you need can be exhausting β dodging ads, navigating layers of SERP features, and avoiding pop-ups on the site you finally click.
AI is gaining ground because it feels better. Easier. Faster. Cleaner. Less chaos. More order.
You could argue we already have a north star for content creation in E-E-A-T. But have you ever tried to build a content strategy around it? Great in principle, harder in practice.
They ask, you answer puts an E-E-A-T-focused content strategy on rails:
E-E-A-T can be difficult to target because there are many ways to build trust, show experience, and demonstrate authority. TAYA maps those signals across multiple areas within each category, helping you build a comprehensive database of people-first content that AI readily surfaces.Β
Dig deeper: How to build an effective content strategy for 2026
The skills and tools we use as SEOs already put us in a strong position for the AI era. They can help us build an integrated SEO, PPC, and AI strategy.Β
Often, you wonβt go wrong by simply searching for your own products and services. AI tools and search results will surface a wide range of questions, answers, and perspectives that can feed directly into your AI and SEO content strategy.Β
Also consider the internal sources available to you:
All of this helps you understand the question landscape. From there, you can begin organizing those insights within the five TAYA categories.
The framework centers on five core categories, reinterpreted for an answer-driven environment where Google, Gemini, and ChatGPT-like systems anticipate user needs.
For each, hereβs what it is, why it matters now, and examples to get you started.
Buyers want cost clarity early. Businesses avoid it because βit depends.β Both are true, but only one is useful.
AI systems will readily summarize typical costs, using someone elseβs numbers if you donβt publish your own. If you fail to provide a credible range with context, youβre effectively handing the narrative to competitors, directories, or a generic blog with a stock photo handshake.
How to do it
Content examples
One of the most cited examples in the TAYA world is Yale Appliance. The company embraced transparent, buyer-focused content and saw inbound become its largest sales channel, alongside significant reported growth.
The takeaway isnβt βgo sell fridges.β Itβs to answer money questions more clearly and honestly than anyone else. Do that, and you build trust at scale.
This category focuses on being honest about drawbacks, limitations, risks, and who a product or service isnβt for. You have to think beyond pure SEO or GEO.Β
A core communication strategy is taking a perceived weakness, such as being a small business, and reframing it as a strength, like a more personalized approach.
Own the areas that could be seen as problems. Present them clearly and constructively so customers understand the trade-offs and context.
The answer layer aims to provide balanced guidance. Pages that focus only on benefits read like marketing. Pages that acknowledge trade-offs read like advice.
People can spot spin quickly. Be direct. Own your limitations. When you do, credibility increases.
How to do it
Content examples
This is where your βexperienceβ in E-E-A-T becomes tangible. βWeβve seen this go wrong when β¦β carries far more weight than βweβre passionate about excellence.β
People rely on comparisons to reduce cognitive load. They want clarity. Whatβs the difference?
Comparison queries are ideal for answer engines because they lend themselves to structured summaries, tables, and recommendations. If you donβt publish the clearest comparison, you wonβt be the source used to generate the clearest answer.
How to do it
Content examples
SEO bonus: These pieces tend to earn links because theyβre genuinely useful and because many competitors hesitate to name alternatives directly.
Dig deeper: Chunk, cite, clarify, build: A content framework for AI search
This isnβt about asking for a five-star review. Itβs about creating review-style content that helps buyers evaluate their options.
AI summaries often rely on review-style pages because theyβre structured around evaluation. But generic affiliate reviews can be, at best, inconsistent in sincerity. Your advantage is first-hand experience and contextual truth.
How to do it
Content examples
If you want to be cited in AI answers, you have to sound like a source, not an ad.
Sheridanβs view, and itβs a bold one, is that you should sometimes publish βbest in classβ recommendations even when the best option isnβt you. Thatβs how trust is built.
The answer layer rewards utility. If your page genuinely helps users choose well, it becomes the kind of resource systems are more likely to reference.
How to do it
Content examples
The goal is for your brand to become a trusted educator, not just a vendor.
Strategic content marketing in the age of AI centers on middle-of-the-funnel content, where AI helps prospects make informed decisions. The content you publish and organize on your website remains the foundation, and SEO remains the backbone of AI visibility.Β
When leveraged effectively, TAYA is a powerful way to map what you should be addressing and to build a content strategy that ensures youβre represented across the AI landscape.
In practice, that means building an editorial program where:
This shift also changes how success is measured.
In classic SEO, the win was rank, click, convert.
In the AI era, the win is often be the source, earn trust, be chosen, with or without the click.
If your content is the clearest, most in-depth, most honest, and most experience-backed explanation available for the questions buyers are already asking, then whether someone discovers it through Google, Gemini, ChatGPT, or elsewhere, youβve built something durable.
Which is what strong SEO has always been about. The window has changed. The principles havenβt.
Dig deeper: Mentions, citations, and clicks: Your 2026 content strategy

With more than two decades in SEO, Iβve lived through every major disruption the industry has faced β from stuffing meta keywords to rank on AltaVista to Google reshaping search, to mobile-first indexing, and now AI.
What feels different today is the speed of change and the emotional weight it carries. I see growing pressure across teams, even among seasoned professionals who have weathered every major shift before this one.
Many have a legitimate concern: If AI can do this faster, where do I fit in? Thatβs not a technical question. Itβs a human one.
That uncertainty affects morale and adoption. Productivity slows. Experimentation stalls. Teams either overuse AI without judgment or avoid it altogether.
The real leadership challenge is about building confidence, capability, and trust in AI-assisted teams.
Building real confidence in AI within an SEO team isnβt about deploying new tools. Itβs about shifting the culture.
The most effective SEO teams arenβt the ones adopting the most tools. They use AI intentionally and with discipline. They automate data pulls, summarize research, and cluster keywords. This allows teams to focus on strategy, storytelling, and stakeholder alignment.
Technology adoption is largely cultural, as Harvard Business School has noted. Tools alone donβt drive change. Trust does. That insight applies directly to SEO teams navigating AI today.
Below are four strategies for building AI confidence in your teams through clarity, participation, and shared ownership, not pressure or hype.
A practical way to strengthen trust is to move from top-down implementation to shared ownership. People trust what they help create.
When AI is imposed on a team, resistance increases. Inviting people into evaluation and workflow design makes AI feel less intimidating and more empowering. Bringing teams in early also surfaces real-world insight into where AI reduces friction or introduces new risks.
Effective leaders:
When teams feel included, theyβre more willing to experiment. They learn and stretch into new capabilities. That openness fuels growth and innovation.
Dig deeper: Why SEO teams need to ask βshould we use AI?β not just βcan we?β
AI capability varies widely across SEO teams. Some practitioners experiment daily. Others feel overwhelmed or skeptical, often because theyβve seen past automation trends come and go.
Leaders who strengthen confidence understand that capability develops at different speeds. They create environments that encourage curiosity, where uncertainty is normal, and learning happens continuously, not just when itβs mandated.
That means:
Recognizing different starting points makes progress feel achievable rather than threatening.
Confidence grows through visible success.
When someone uses AI to cut a task from hours to minutes, itβs more than a productivity gain. It proves AI can support real work without replacing human judgment.
Effective teams:
My agency formed AI focus groups with members from across the organization. One group focused on integrating AI into project management, with representatives from SEO, operations, and leadership.
That shared ownership made adoption more successful. Teams werenβt just implementing AI; they were shaping how it fit into real workflows. The result was stronger buy-in, better collaboration, and greater confidence across the team.
Each group shared its successes and lessons. This built awareness of what worked and why. Momentum builds when teams see their peers using AI responsibly and effectively.
Dig deeper: The future of SEO teams is human-led and agent-powered
Fear of replacement is real. Ignoring it doesnβt make it disappear. Teams need explicit clarity about where human expertise still matters.
Reframing AI as a partner means emphasizing:
AI can help with execution, but it canβt replace strategic instincts, contextual judgment, or cross-functional leadership. Those are the skills that ultimately move performance forward.
AI has lowered the barrier to entry for many SEO tasks. With effective prompts, almost anyone can generate keyword lists, outlines, or summaries. With that accessibility, we see many short-lived tactics and recycled βquick wins.βΒ
Anyone whoβs been in SEO long enough has seen this cycle before. The tactics change. The fundamentals donβt. This is where experience becomes the differentiator.
AI can produce content and analyze data, but it doesnβt own outcomes. It doesnβt carry responsibility for brand reputation, compliance, or long-term performance.
SEO professionals remain accountable for:
AI executes. Humans decide. That distinction matters more than ever.
AI excels at surfacing patterns. It struggles to explain why they matter or whether they apply in a specific context.
Experienced SEOs bring a depth of understanding that AI canβt replicate. Their historical background helps them distinguish true shifts from industry noise.Β
Few industries have seen as many tactics rise and fall as SEO. Experience enables strategic thinking beyond what worked before and helps avoid repeating tactics that once succeeded but later failed.
AI suggests possibilities. Experience evaluates relevance.
In high-visibility search environments, mistakes scale quickly. AI can produce inaccuracies and hallucinations. These errors can put brands at risk of losing trust and facing compliance issues.
Teams with strong professional SEO foundations:
Integrity isnβt automated. Itβs practiced. In a high-speed AI environment, that discipline matters even more.
Dig deeper: How to build and lead a successful remote SEO team
AI is accelerating SEO execution.
As routine tasks become automated, the SEO professionalβs role shifts to strategic oversight. Time once spent on manual analysis can be redirected to interpreting user intent, shaping search strategy, guiding stakeholders, and assessing risk.
This makes fundamentals more important. Teams still need sound judgment, technical expertise, and accountability. AI can support execution, but professionals remain responsible for decisions, quality, and long-term performance.
Developing the next generation of SEOs requires more than proficiency with tools. It requires teaching:


Monster Hunter Wilds now runs much faster on PC thanks to update 1.041 Capcom has released patch 1.041 for Monster Hunter Wilds, delivering long-promised optimisation updates to the game on PC and consoles. This update implements both CPU and GPU optimisations into the game, which means that all gamers should see performance benefits. Specifically, new [β¦]
The post Monster Hunter Wildsβ latest patch packs new CPU/GPU optimisations appeared first on OC3D.
Intel Makoto OhnoIt is also predicted that by 2026, this will exceed half, with one in two computers being an AI PC. However, given the current situation, reasons for choosing an AI PC include its high performance and the long battery life provided by the use of an NPU. In other words, it is important to reflect on the fact that people are not currently purchasing an AI PC in order to use its AI-related functions.
Customermates is a modern AI-native CRM built specifically for businesses that don't want to deal with complex software. It's ready to use in about two minutes, requires no training, and feels intuitive from the first click. Customer data, notes, and interactions live in one clear place, supported by a sleek, distraction-free UI designed for everyday work. It integrates seamlessly with n8n, making it fully automatable and easy to connect with existing tools and workflows. Built in Germany and fully GDPR-compliant, Customermates offers a reliable alternative to enterprise AI CRMs, helping teams stay organized and build better customer relationships without unnecessary overhead.
Over the past year, we heard rumblings of a Chrono Trigger remake possibly being in development, but fans were consistently disappointed when it turned out to be either mistranslations or mere development considerations from Yuji Horii, the creator of the Dragon Quest series, who also served as one of the legendary game's writers. However, according to a known insider, a remake of the classic 16-bit JRPG is indeed in development. Commenting on a ResetERA forums in a thread regarding a recent survey shared by Square Enix's Team Asano - the studio behind the Octopath Traveler series which popularized the HD-2D [β¦]
Read full article at https://wccftech.com/a-chrono-trigger-remake-is-already-in-development-insider-claims/

NVIDIA's CEO has spoken about what we could see next at the company's GTC 2026 event, hinting that we could see chips that the "world has never seen before". NVIDIA's Next Stage at GTC Could Feature Next-Gen Feynman Chips, Possibly Showcasing Groq's LPU Integration NVIDIA has been at the forefront of the AI technological revolution, mainly through its compute portfolio and its ability to keep up with its product cycles. At CES 2026, we saw Team Green showcase its Vera Rubin AI lineup, revealing it was in full production and included six newly designed chips, including the Vera CPUs and [β¦]
Read full article at https://wccftech.com/nvidia-ceo-to-unveil-chips-that-the-world-has-never-seen-before/

With the NZXT H2 ecosystem, users can either build a compact and powerful gaming PC or they can buy the H2 Mini PC with powerful hardware pre-installed. NZXT Debuts H2 Flow and C850 SFX for Compact Builds; H2 Mini PC Launched with Ryzen 7 9800X3D and Core Ultra 9 285K Processor Options Hardware manufacturer NZXT has launched its new lineup of computer hardware that comprises a PC case, a power supply, and a mini PC that utilizes both while delivering current-gen CPU and GPUs. The H2 Flow is its latest Mini ITX case that is designed to keep the footprint [β¦]
Read full article at https://wccftech.com/nzxt-launches-h2-flow-itx-case-c850-sfx-psu-and-amd-intel-h2-mini-pc-with-rtx-5080/

As far as triple-A-ish games go, Highguard might go down in history as one of the games that spent the least time in the spotlight, and even when it did, it was all for the wrong reasons. The game was a complete secret until The Game Awards 2025. The CEO of game developer Wildlight Entertainment, Dusty Welch, would later reveal that their original goal was to shadowdrop the game in late January, much as Respawn's Apex Legends did back in 2019 (on which several members of the team had worked). However, when Geoff Keighley suddenly came to Wildlight with the [β¦]
Read full article at https://wccftech.com/highguard-website-remains-down-fans-worry-this-is-it/



Konami unveils Metal Gear Solid 4βs PC system requirements Metal Gear Solid 4 is coming to PC on August 27th as part of the Metal Gear Solid: Master Collection Vol. 2. Until then, Metal Gear Solid 4 will remain exclusive to Sonyβs PlayStation 3 console. On Steam, Konami has released PC system requirements for Metal [β¦]
The post Is your PC ready for Metal Gear Solid 4? appeared first on OC3D.
FindFi is a dedicated hiring platform for the finance industry, spanning DeFi protocols, crypto exchanges, blockchain startups, and traditional financial institutions. We solve a real problem: finance talent is scattered across generic job boards that don't understand the space. FindFi brings employers and candidates together in one focused marketplace with curated listings, talent profiles, and industry-specific search filters. Whether you're a Solidity developer, a compliance officer, or a DeFi analyst, FindFi is where your next opportunity lives.
OmniSocials is an all-in-one social media management platform that lets marketers, creators, and agencies publish to Facebook, Instagram, TikTok, LinkedIn, YouTube Shorts, Pinterest, Threads, Bluesky, Mastodon, and X from one dashboard. You can schedule posts, stories, and reels, tailor content for each channel, and track performance with unified analytics.
The social inbox allows you to reply to comments, mentions, and DMs, while you can collaborate with clients using roles and approval workflows. Pricing is a single $10/month per workspace billed annually, with optional $10/month seats for clients or colleagues.
PC gaming has been in a rough spot in the past few years, with too many games launching with technical and optimization issues that are left unresolved. However, there are times when a game's optimization is judged based on a game's Ultra settings, which creates a situation where developersβsuch as the Ys X: Proud Nordics PC, PS5, and Switch 2 version developer PH3's Peter "Durante" Thomanβhave to "protect players from themselves" and balance optimization with future-proofing their games. Speaking in a lengthy interview with RPGFan, the legendary developer, who some may remember for fixing the flawed PC port of the [β¦]
Read full article at https://wccftech.com/protecting-players-from-themselves-ys-x-proud-nordics-dev-ultra-settings-optimization/

Resident Evil 3 Remake Last Escape is a new large scale mod project that aims to restore content cut by CAPCOM from the original game while also adding several things, including the classic Ink Ribbon save system and new locations. Here's the official overview: This mod is a complete reimagining and expansion of Resident Evil 3 Remake. Iβm restoring cut content and adding entirely new locations, expanding the city, and redesigning core gameplay systems to create a darker, more survival-focused experience inspired by the original game. Features: The YouTube channel includes several demonstration videos of Resident Evil 3 Remake Last [β¦]
Read full article at https://wccftech.com/resident-evil-3-remake-last-escape-mod-restore-cut-content-add-things/

Apple has announced that it will host a product launch on March 4, which can potentially be the date for its M5 Pro and M5 Max that will be found in updated 14-inch and 16-inch MacBook Pro models. One of the chipsetsβ biggest highlights is that both SoCs will switch to TSMCβs 2.5D chiplet design as Apple moves away from InFO technologyΒ (Integrated Fan-Out). This transition helps to improve heat dissipation and reduce defective chip rates, but thereβs one obstacle that the technology giant has been unable to scale for two generations, and that is raising the total number of CPU [β¦]
Read full article at https://wccftech.com/apple-m5-pro-and-m5-max-feature-more-cpu-gpu-cores-thanks-to-chiplet-design/

An overview of Googleβs new global partnerships and funding announcements at the AI Impact Summit in India.
AI isnβt just helping people solve problems faster, itβs unlocking new possibilities for discovery and scalability. To support organizations at the forefront of scientifβ¦
Government AI adoption isn't just a technical upgrade, it's a way to solve real world challenges and drive societal impact for communities. Yet new data reveals that whiβ¦
A look at the partnerships and investments Google announced at the AI Impact Summit 2026.
Nvidia announces new multiyear deal with Meta for AI hardware deployments NVIDIA has confirmed that it has entered a βmultigenerational strategic partnershipβ with Meta that spans its on-premises, cloud, and AI infrastructure rollout. This includes Nvidiaβs first-ever large-scale deployment of its Grace-only CPU and a collaboration on next-generation Vera CPU deployments. This deal should also [β¦]
The post Nvidia expands multi-year AI deal with Meta with CPU, GPU and networking deployments appeared first on OC3D.
With DDR5 prices quadrupling as AI demand drains supply, we tested CXMT Chinese RAM to see how it stacks up against premium and budget kits in gaming.
We have the first Ryzen 7 9850X3D failure report from Reddit, and this one failed in less than three weeks. Redditor Says Ryzen 7 9800X3D Became Unstable on ASUS X870 Motherboard; Returns it and Buys Ryzen 7 9850X3D, Which Failed As Well It has been less than three weeks since AMD launched its fastest gaming processor yet. The Ryzen 7 9850X3D, which launched at the end of last month, quickly gained a lot of attention as it dethroned the Ryzen 7 9800X3D through higher clocks. However, being identical to 9800X3D in almost every area, it's as prone to failures as [β¦]
Read full article at https://wccftech.com/user-reports-ryzen-7-9800x3d-and-9850x3d-failures-within-a-few-weeks-first-9850x3d-failure-case/

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Supaflow is a data integration platform that moves data between sources, warehouses, and business apps. You can build unlimited pipelines with access to all connectors, dbt Core integration, reverse ETL, monitoring, and API with role-based access control. It supports Git integration, SAML SSO, hybrid deployment, and enterprise compliance options. Pricing uses compute credits based on agent node size and runtime, delivering predictable costs and often saving up to 80% compared to per-row pricing.
NVIDIA's DLSS 4.5 was compared against native resolution & AMD FSR Upscaling in several games & turned out to be the top choice in a blind test. Native vs NVIDIA DLSS 4.5 vs AMD FSR Upscaling: Blind Test By Computerbase Reveals Which Is The Top Choice For Gamers The blind test was done by Computerbase, in which over 1000 community members participated. The premise was simple: have a bunch of games using either Native Resolution, NVIDIA DLSS 4.5, and AMD FSR, and ask the community to pick their preferred choice based on image quality. For comparisons, the six games that [β¦]
Read full article at https://wccftech.com/nvidia-dlss-4-5-top-gamers-choice-in-blind-test-vs-native-res-amd-fsr-upscaling/

NVIDIA has managed to grow its influence within the Big Tech circle with its latest partnership, as the company collaborates with Meta, an entity known for its inclination towards AMD as well. NVIDIA-Meta Partnership Involves Blackwell, Blackwell Ultra & Vera Rubin AI Infrastructure With the biggest AI buildout, companies like Meta are in dire need of computing power, which is why they make sense to enter into strategic partnerships with the likes of AMD and NVIDIA. In their latest move, NVIDIA has unveiled a "multiyear, multigenerational strategic partnership" with Meta, which will enable the extensive adoption of "millions" of Blackwell [β¦]
Read full article at https://wccftech.com/nvidia-manages-to-bag-in-one-of-amd-biggest-ai-customer-meta/

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GitOps for Docker Compose on lowβresource VPS

Pingwish helps you find the perfect present and organize what you want. Create and share smart wishlists with unique links, keep them private by default, and let friends reserve items to prevent duplicates. You can add gifts from any store using a link or a product name. Use the AI Gift Finder to describe the recipient, occasion, interests, and budget, and get personalized matches in seconds. Pingwish is free, requires no sign-up, works on mobile and desktop, and supports multiple languages.
AMD's next-gen Instinct MI400 series recently came under fire after it was reported that the lineup is being pushed ahead, but the company's executive has denied it. AMD's Instinct MI455X Faces Challenges With N2 Integration, But Team Red is Confident in Its H2 2026 Deployment When it comes to the race for the best hardware for hyperscalers, NVIDIA has been leading for quite a few generations, and we saw the gap widen with the Blackwell generation. However, with AMD's Instinct MI400 series, particularly the MI455X, Team Red believes customers will have no 'argument left' not to pivot away from NVIDIA, [β¦]
Read full article at https://wccftech.com/the-race-for-the-best-ai-infrastructure-heats-up-as-amd-denies-mi455x-is-being-delayed/

AutoApplier automates your job hunt from start to finish. Its AI Job Agent searches for roles on company sites, fills out forms, uploads tailored resumes, and submits applications while you focus on other things. The LinkedIn Bot manages Easy Apply with preferences and blacklists and tracks progress in a dashboard.
Use the Resume and Cover Letter Generators to create ATS-ready materials, then use the AI Interview Buddy for any job interview; it listens in real time and suggests answers based on your profile.
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Neuroads offers AI-powered visual analytics to help you optimize ads and creatives. Upload an image and instantly see predicted heatmaps, attention maps, and an overall score across six criteria, including focus, CTA visibility, visual flow, brand clarity, emotion, and distraction control. Built on neuromarketing principles, the platform reveals where viewers look, allowing you to refine layouts, messaging, and calls to action for higher engagement and conversion.
After releasing the first developer beta build for iOS 26.4 and more earlier this week, Apple has now released the first public beta builds for its sprawling ecosystem of devices. Apple releases the first public beta builds for iOS 26.4, iPadOS 26.4,Β watchOS 26.4, tvOS 26.4, visionOS 26.4, HomePod Software 26.4, and macOS Tahoe 26.4 Podcasts With iOS 26.4, Apple is adding support for video-based podcasts in the Apple Podcasts app. Apple says the new "enhanced video podcast experience" will allow users to "seamlessly switch between viewing a video podcast and listening to the audio." The update also adds support for [β¦]
Read full article at https://wccftech.com/apple-releases-ios-26-4-public-beta-1-and-much-more/

A look at our 2026 Responsible AI Progress Report. Additional merchant features include an easier way to send out product samples and new Creator Picks tags.
Some of the most popular promotions built pre-game momentum and engaged with creator talent to capture viewer attention.
The move comes as the platform looks to reassure regulators that its business practices are aligned with wider regulatory expectations.
Nostalgia-driven storytelling and niche-inspired campaigns can help brands and users create more effective engagement in 2026, according to the platform.
Various other nations have also launched investigations into the artificial intelligence chatbot.
The program will allow users with large followings to monetize content and set up customized monthly pricing tiers.
Google is adding hover link pop-ups on desktop in AI Overviews and AI Mode, plus more prominent link icons within responses across desktop and mobile.
The post Google Says Links Will Be More Visible In AI Overviews appeared first on Search Engine Journal.
TeamSpeak is suddenly back in the spotlight after a wave of users fled Discord over its new age-verification rollout. The voice-chat veteran says demand has spiked so hard that hosting capacity is maxed out in several regions as newcomers pile in looking for a simpler, more private alternative. Download TeamSpeak Classic or TeamSpeak 6 Beta here.
PatentRain is an AI-powered platform that helps product managers and innovators turn ideas into patent-worthy inventions. Users can map problems, solutions, components, and data flows with node-based canvases, then draft and refine clear invention narratives with AI.
Organize work by projects and canvases, collaborate with teammates, and assess clarity, differentiation, and completeness with AI analytics. Learn from example discoveries, capture innovation seeds, export snapshots and briefs, and access a built-in learning library for practical patent guidance.

Google is rolling out new, more visible links within AI Overviews and AI Mode. These new link cards appear in a pop-up window when you hover over them on desktop. They also show more prominent details about the website.
Google was testing these earlier and now this new style is live.
What it looks like. Here is a screenshot of these new link pop up menus on hover:

What Google said. Googleβs Robby Stein posted on X saying:
Why we care. This new style does appear to encourage more clicks to websites and I do hope that we will see more traffic from Googleβs AI experiences from these changes.
Of course, we still have no way to measure this in Search Console.
OmniFile is a fast desktop search app for Mac and Windows that finds files across local drives and cloud storage from one place. It indexes everything locally to keep your data on your device and works offline while delivering millisecond results with fuzzy matching. Connect Google Drive, Dropbox, Box, SharePoint, and Slack to unify search. Create custom workspaces, filter by source or type, and use quick actions to open, reveal, or copy paths without leaving your keyboard.
Apple intends to complement its upcoming camera-equipped AirPods Pro with a dedicated AI pendant, with both devices expected to serve a niche segment within the overall wearable AI segment, one where subtlety seemingly reigns supreme, unlike the more in-your-face smart glasses. Apple's upcoming AI pendant is likely to be roughly the size of an AirTag We noted recently that Apple was developing a dedicated AI pin, with initial sales expectations set at 20 million units. The wearable AI pin would presumably come equipped with multiple cameras, a speaker, microphones, and wireless charging. Now, Bloomberg's Mark Gurman has clarified that the [β¦]
Read full article at https://wccftech.com/apple-working-on-an-airtag-sized-ai-pendant-as-the-race-for-ai-enabled-consumer-devices-heats-up/

Season 2 of Battlefield 6 is finally live after an unexpected month-long delay, something that, according to Battlefield Studios, won't happen again. The new season went live with the introduction of the new Contaminated map, several new weapons, and the introduction of a new limited-time mode featuring a new gameplay mechanic, VL-7 hallucinogenic gas. The new season's arrival has driven the game's highest concurrent player count on Steam so far in February 2026, with the game currently sitting at 90,265 players at the time of this writing. If the concurrent count is able to break 100K, it'll be the first [β¦]
Read full article at https://wccftech.com/battlefield-6-season-2-now-live-drives-highest-steam-concurrent-count-this-month/

Google I/O, our annual developer conference, is taking place at Shoreline Amphitheatre in Mountain View, California.
At MSC 2026, Googleβs Kent Walker urged a full-stack, AI-driven approach to security to counter sophisticated, enterprise-scale threats.

Traffic from AI chatbots converts at a higher rate than traffic from Google, according to Airbnb CEO Brian Chesky. He shared this tidbit on the companyβs Q4 2025 earnings call:
Yes, but. He didnβt share specific conversion rates, and the company didnβt quantify chatbot traffic volume. But for Airbnb, early data suggests visitors arriving via AI chatbots may be further along in the booking process than those coming from traditional Google searches.
Why we care. AI assistants are emerging as a top-of-funnel discovery layer. The quality of that traffic may outperform clicks from traditional search and align with past claims by Google and Microsoft that AI will drive more qualified traffic at lower volume.
AI search ambitions. Chesky described chatbots as βvery similar to searchβ and positioned them as top-of-funnel discovery engines.
Rather than viewing them as disintermediators, Airbnb sees them as acquisition partners.
Chesky described the long-term goal as building an βAI-native experienceβ where the app βdoes not just search for you. It knows you.β:
AI inside Airbnb. Airbnb isnβt just benefiting from external AI platforms. Itβs embedding AI into its operations.
Sponsored listings on hold for now. Airbnb has long faced questions about launching sponsored listings. On the call, Chesky said traditional ad units may not translate directly into conversational AI environments. The company is prioritizing AI search before designing sponsored placements in that format.
Airbnbβs search shift. Airbnb began moving its budget to brand marketing just before the rise of generative AI and AI-powered search. Airbnb bet on broader marketing initiatives, slashing its search marketing spending.

TikTok is giving entertainment marketers in Europe new tools to reach audiences with precision, leveraging AI to drive engagement and conversions for streaming and ticketed content.
Whatβs happening. TikTok is introducing two new ad types for European campaigns:
Context. The rollout coincides with the 76th Berlinale International Film Festival, underscoring TikTokβs growing role in entertainment marketing. In 2025, an average of 6.5 million daily posts were shared about film and TV on TikTok, with 15 of the top 20 European box office films last year being viral hits on the platform.
Why we care. TikTokβs new AI-powered ad formats let streaming platforms and entertainment brands target users with highly personalized content, increasing the likelihood of engagement and conversions.
With 80% of users saying TikTok influences their viewing choices (according to TikTok data), these tools can directly shape audience behavior, helping marketers turn cultural moments into subscriptions, ticket sales, or higher viewership. Itβs a chance to leverage TikTokβs viral influence for measurable campaign impact.
The bottom line. For entertainment marketers, TikTokβs AI-driven ad formats provide new ways to engage audiences, boost viewership, and turn trending content into measurable results.
Dig deeper. TikTok Adds New Ad Types for Entertainment Marketers
Leadde AI is an AI video platform for businesses. Upload documents like text, slides, and PDFs to instantly generate a structured video outline, scene-by-scene script, and visuals. Customize the output language, level of detail, and tone, then choose a template and digital avatar to quickly produce multilingual training, explainer, tutorial, onboarding, launch, or process videos at scale.

Apple is equipping a range of upcoming devices, including the next AirPods Pro, with a camera to imbue them with incremental AI features, thereby hoping to halt Meta's relentless ascendancy in the wearable AI segment. Apple's next AirPods Pro, which might launch as early as this year, would come equipped with a camera According to Bloomberg's Mark Gurman, Apple has been working for quite a while on an innovative design for its AirPods Pro, aiming to equip the bespoke earbuds with a camera. According to Gurman, the new AirPods Pro might launch as early as this year, and complete a [β¦]
Read full article at https://wccftech.com/apple-equipping-the-next-airpods-pro-with-a-camera-to-take-on-metas-dominance-in-the-wearables-segment/

We first heard that Capcom would be looking to reboot the Resident Evil film franchise all the way back in 2020, with a less-than-impressive first outing with Resident Evil: Welcome to Raccoon City. That was followed by another less-than-impressive TV series, which was canned after one season. Now, there's another new film coming, but with a lot more pedigree behind it, with Weapons and Barbarian director Zach Cregger leading the charge. Last September, we learned from Cregger that this upcoming film would be an original story, one that wouldn't feature iconic Resident Evil characters like Leon Kennedy (who will feature [β¦]
Read full article at https://wccftech.com/zach-cregger-weapons-director-had-carte-blanche-with-resident-evil-movie/

Here's something we weren't really expecting to read: John Romero, the man behind some of the greatest old-school first-person shooter games (Wolfenstein 3D, Doom, Quake), revealed that his most-played game of all time is Blizzard's World of Warcraft. That's about as far from the games he's most renowned for as you could imagine, being an MMORPG with stylized visuals and tab-targeting combat. And yet, Romero himself told PC Gamer that he lived in Azeroth for five years: It's World of Warcraft. I have probably 3,000-plus hours in WoW. God, I lived in that game every day for five years. Six [β¦]
Read full article at https://wccftech.com/world-of-warcraft-most-played-game-john-romero/

Bungie's upcoming first-person extraction shooter, Marathon, is out on PS5 and PC in a little more than two weeks' time from the time of this writing. Despite it having a rough road to launch, now that we're so close to it, the game looks more impressive than ever, and its new 'Death Awaits' trailer ahead of its open preview server slam test next weekend is the latest example of just how solid it looks. The server slam test will give Bungie the chance to let the servers get pushed to their limit right ahead of launch, as the test will [β¦]
Read full article at https://wccftech.com/bungie-marathon-gamelay-new-impressive-death-awaits-trailer/


Meta Platforms is embedding newly acquired AI agent tech directly into Ads Manager, giving advertisers built-in automation tools for research and reporting as the company looks to show faster returns on its AI investments.
Whatβs happening. Some advertisers are seeing in-stream prompts to activate Manus AI inside Ads Manager.
What is Manus. Manus AI is designed to power AI agents that can perform tasks like report building and audience research, effectively acting as an assistant within the ad workflow.
Why we care. Manus AI brings AI-powered automation directly into Meta Platforms Ads Manager, making tasks like report-building, audience research, and campaign analysis faster and more efficient.
Meta is currently prioritizing tying AI investment to measurable ad performance, giving advertisers new ways to optimize campaigns and potentially gain a competitive edge by testing workflow efficiencies early.
Between the lines. Meta is under pressure to demonstrate practical value from its aggressive AI spending. Advertising remains its clearest path to monetization, and embedding Manus into everyday ad tools offers a direct way to tie AI investment to performance gains.
Zoom out. The move aligns with CEO Mark Zuckerbergβs push to weave AI across Metaβs product stack. By positioning Manus as a performance tool for advertisers, Meta is betting that workflow efficiencies will translate into stronger ad results β and a clearer AI revenue story.
The bottom line. For advertisers, Manus adds another layer of built-in automation worth testing. Early adopters may uncover time savings and optimization gains as Meta continues expanding AI inside its ad ecosystem.

A core targeting lever in Google Demand Gen campaigns is changing. Starting March 2026, Lookalike audiences will act as optimization signals β not hard constraints β potentially widening reach and leaning more heavily on automation to drive conversions.
What is happening. Per an update to Googleβs Help documentation, Lookalike segments in Demand Gen are moving from strict similarity-based targeting to an AI-driven suggestion model.

Between the lines. This effectively reframes Lookalikes from a fence to a compass. Instead of limiting delivery to a defined cohort, advertisers are feeding intent signals into Googleβs automation and allowing it to search for performance outside preset boundaries.
How this interacts with Optimized Targeting. The new Lookalike-as-signal approach resembles Optimized Targeting β but it doesnβt replace it.
Opt-out option. Advertisers who want to preserve legacy behavior can request continued access to strict Lookalike targeting through a dedicated opt-out form. Without that request, campaigns will default to the new signal-based model.
Why we care. This update changes how much control advertisers will have over who their ads reach in Google Demand Gen campaigns. Lookalike audiences will no longer strictly limit targeting β theyβll guide AI expansion β which can significantly affect scale, CPA, and overall performance.
It also signals a broader shift toward automation, similar to trends driven by Meta Platforms. Advertisers will need to test carefully, rethink audience strategies, and decide whether to embrace the added reach or opt out to preserve tighter targeting.
Zoom out. The shift mirrors a broader industry trend toward AI-first audience expansion, similar to moves by Meta Platforms over the past few years. Platforms are steadily trading granular manual controls for machine-led optimization.
Why Google is doing this. Digital markerter Dario Zannoni, has two reasons as to why Google is doing this:
The bottom line. For performance marketers, this is another step toward automation-centric buying. While reduced control may be uncomfortable, comparable platform changes have often produced performance gains in mainstream use cases. Expect a new testing cycle as advertisers measure how expanded Lookalike signals affect CPA, reach, and incremental conversions.
First seen. This update was spotted by Zannoni who shared his thoughts on LinkedIn.
Dig deeper. Use Lookalike segments to grow your audience

Jeff Dean says Googleβs AI Search still works like classic Search: narrow the web to relevant pages, rank them, then let a model generate the answer.
In an interview on Latent Space: The AI Engineer Podcast, Googleβs chief AI scientist explained how Googleβs AI systems work and how much they rely on traditional search infrastructure.
The architecture: filter first, reason last. Visibility still depends on clearing ranking thresholds. Content must enter the broad candidate pool, then survive deeper reranking before it can be used in an AI-generated response. Put simply, AI doesnβt replace ranking. It sits on top of it.
Dean said an LLM-powered system doesnβt read the entire web at once. It starts with Googleβs full index, then uses lightweight methods to identify a large candidate pool β tens of thousands of documents. Dean said:
Stronger ranking systems narrow that set further. Only after multiple filtering rounds does the most capable model analyze a much smaller group of documents and generate an answer. Dean said:
Dean called this the βillusionβ of attending to trillions of tokens. In practice, itβs a staged pipeline: retrieve, rerank, synthesize. Dean said:
Matching: from keywords to meaning. Nothing new here, but we heard another reminder that covering a topic clearly and comprehensively matters more than repeating exact-match phrases.
Dean explained how LLM-based representations changed how Google matches queries to content.
Older systems relied more on exact word overlap. With LLM representations, Google can move beyond the idea that particular words must appear on the page and instead evaluate whether a page β or even a paragraph β is topically relevant to a query. Dean said:
That shift lets Search connect queries to answers even when wording differs. Relevance increasingly centers on intent and subject matter, not just keyword presence.
Query expansion didnβt start with AI. Dean pointed to 2001, when Google moved its index into memory across enough machines to make query expansion cheap and fast. Dean said:
Before that, adding terms was expensive because it required disk access. Once the index lived in memory, Google could expand a short query into dozens of related terms β adding synonyms and variations to better capture meaning. Dean said:
That change pushed Search toward intent and semantic matching years before LLMs. AI Mode (and its other AI experiences) continues Googleβs ongoing shift toward meaning-based retrieval, enabled by better systems and more compute.
Freshness as a core advantage. Dean said one of Searchβs biggest transformations was update speed. Early systems refreshed pages as rarely as once a month. Over time, Google built infrastructure that can update pages in under a minute. Dean said:
That improved results for news queries and affected the main search experience. Users expect current information, and the system is designed to deliver it. Dean said:
Google uses systems to decide how often to crawl a page, balancing how likely it is to change with how valuable the latest version is. Even pages that change infrequently may be crawled often if theyβre important enough. Dean said:
Why we care. AI answers donβt bypass ranking, crawl prioritization, or relevance signals. They depend on them. Eligibility, quality, and freshness still determine which pages are retrieved and narrowed. LLMs change how content is synthesized and presented β but the competition to enter the underlying candidate set remains a search problem.
The interview. Owning the AI Pareto Frontier β Jeff Dean

DuoPlus Cloud Phone is a powerful multi-account tool that lets users run dozens of independent Android phones in the cloud from a single computer. Users can safely scale accounts for affiliate marketing, airdrop tasks, account farming, and other multi-account use cases without buying multiple physical devices. Cloud Phone and Cloud Numbers allow for managing phone numbers and accounts in one place for safer verification. Choose Android versions, device models, language, and time zone for a real ARM device environment. Users can also sync actions or run automated tasks across multiple devices effortlessly.

Intel expects that, with its Panther Lake platform, the adoption of the "AI PC" narrative would be much more aggressive, reaching up to half of upcoming PCs. Intel is Eager to Spread the "AI Fever" Into Consumers By Offering Capable Edge AI Performance One of the major performance uplifts we witnessed with the launch of Panther Lake SoCs was in the AI department, credited to the integration of fifth-generation NPUs that deliver up to 50 TOPS of compute power. And it appears that Intel expects Panther Lake to be a dominant force in the race for AI PCs, as Intel [β¦]
Read full article at https://wccftech.com/intel-expects-one-in-two-pcs-to-be-ai-powered/

Embark Studios has just issued a statement regarding a major glitch in ARC Raiders that players have been exploiting recently, which allowed players to duplicate their coins, essentially destroying the in-game economy and allowing players to buy their way back to full strength and then some, if they lost their gear while Topside. Whether the statement will apply to you or not depends on how much you took advantage of the exploit. For "severe cases," the players who took huge advantage of it will be suspended from the game. How long those suspensions last is currently unclear, but that is [β¦]
Read full article at https://wccftech.com/embark-studios-suspend-arc-raiders-players-severe-cases-coins-duplication-exploit/

Although 2026 has already seen the release of some excellent games, with many more on the way, Grand Theft Auto 6 is poised to dominate the gaming year in terms of sales, as the game's double delay did not dampen the excitement surrounding the highly anticipated next entry in the series. The next entry in the popular series is not the only open-world game launching this year, and of them, Pearl Abyss' Crimson Desert could be the Game of the Year if, by any chance, Grand Theft Auto 6 ends up failing, according to a former Rockstar Games animator. "This [β¦]
Read full article at https://wccftech.com/crimson-desert-game-of-the-year-gta-6-fails/

Using Google Flights data, weβre taking a look at what U.S. destinations are trending for this yearβs upcoming spring break.
Celebrate the Year of the Horse! Discover new Google features for Lunar New Year across Play, TV, and more. 
If you look at job postings on Indeed and LinkedIn, youβll see a wave of acronyms added to the alphabet soup as companies try to hire people to boost visibility on large language models (LLMs).
Some people are calling it generative engine optimization (GEO). Others call it answer engine optimization (AEO). Still others call it artificial intelligence optimization (AIO). I prefer large model answer optimization (LMAO).
I find these new acronyms a bit ridiculous because while many like to think AI optimization is new, it isnβt. Itβs just long-tail SEO β done the way it was always meant to be done.
Most LLMs (e.g., GPT-4o, Claude 4.5, Gemini 1.5, Grok-2) are transformers trained to do one thing: predict the next token given all previous tokens.
AI companies train them on massive datasets from public web crawls, such as:
The data is heavily filtered to remove spam, toxic content, and low-quality pages. Full pretraining is extremely expensive, so companies run major foundation training cycles only every few years and rely on lighter fine-tuning for more frequent updates.
So what happens when an LLM encounters a question it canβt answer with confidence, despite the massive amount of training data?
AI companies use real-time web search and retrieval-augmented generation (RAG) to keep responses fresh and accurate, bridging the limits of static training data. In other words, the LLM runs a web search.
To see this in real time, many LLMs let you click an icon or βShow detailsβ to view the process. For example, when I use Grok to find highly rated domestically made space heaters, it converts my question into a standard search query.

Dig deeper: AI search is booming, but SEO is still not dead
Many of us long-time SEO practitioners have praised the value of long-tail SEO for years. But one main reason it never took off for many brands: Google.
As long as Googleβs interface was a single text box, users were conditioned to search with one- and two-word queries. Most SEO revenue came from these head terms, so priorities focused on competing for the No. 1 spot for each industryβs top phrase.
Many brands treated long-tail SEO as a distraction. Some cut content production and community management because they couldnβt see the ROI. Most saw more value in protecting a handful of head terms than in creating content to capture the long tail of search.
Fast forward to 2026. People typing LLM prompts do so conversationally, adding far more detail and nuance than they would in a traditional search engine. LLMs take these prompts and turn them into search queries. They wonβt stop at a few words. Theyβll construct a query that reflects whatever detail their human was looking for in the prompt.
Suddenly, the fat head of the search curve is being replaced with a fat tail. While humans continue to go to search engines for head terms, LLMs are sending these long-tail search queries to search engines for answers.
While AI companies are coy about disclosing exactly who they partner with, most public information points to the following search engines as the ones their LLMs use most often:
Right now, humans conduct billions of searches each month on traditional search engines. As more people turn to LLMs for answers, weβll see exponential growth in LLMs sending search queries on their behalf.
SEO is being reborn.
Dig deeper: Why βitβs just SEOβ misses the mark in the era of AI SEO
The principles of long-tail SEO havenβt changed much. Itβs best summed up by Baseball Hall of Famer Wee Willie Keeler: βKeep your eye on the ball and hit βem where they ainβt.β
Success has always depended on understanding your audienceβs deepest needs, knowing what truly differentiates your brand, and creating content at the intersection of the two.
As straightforward as this strategy has been, few have executed it well, for understandable reasons.
Reading your customersβ minds is hard. Keyword research is tedious. Content creation is hard. Itβs easy to get lost in the weeds.
Happily, thereβs someone to help: your favorite LLM.
Here are a few best practices Iβve used to create strong long-tail content over the years, with a twist. What once took days, weeks, or even months, you can now do in minutes with AI.
The first rule of long-tail SEO has always been to get into your audienceβs heads and understand their needs. This once required commissioning surveys and hiring research firms to figure out.
But for most brands and industries, an LLM can handle at least the basics. Hereβs a sample prompt you can use.
Act as an SEO strategist and customer research analyst. You're helping with long-tail keyword discovery by modeling real customer questions.
I want to discover long-tail search questions real people might ask about my business, products, and industry. Iβm not looking for mere keyword lists. Generate realistic search questions that reflect how people research, compare options, solve problems, and make decisions.
Company name: [COMPANY NAME]
Industry: [INDUSTRY]
Primary product/service: [PRIMARY PRODUCT OR SERVICE]
Target customer: [TARGET AUDIENCE]
Geography (if relevant): [LOCATION OR MARKET]
Generate a list of 75 β 100 realistic, natural-language search queries grouped into the following categories:
AWARENESS
β’ Beginner questions about the category
β’ Problem-based questions (pain points, frustrations, confusion)
CONSIDERATION
β’ Comparison questions (alternatives, competitors, approaches)
β’ βBest forβ and use-case questions
β’ Cost and pricing questions
DECISION
β’ Implementation or getting-started questions
β’ Trust, credibility, and risk questions
POST-PURCHASE
β’ Troubleshooting questions
β’ Optimization and advanced/expert questions
EDGE CASES
β’ Niche scenarios
β’ Uncommon but realistic situations
β’ Advanced or expert questions
Guidelines:
β’ Write queries the way real people search in Google or ask AI assistants.
β’ Prioritize specificity over generic keywords.
β’ Include question formats, βhow toβ queries, and scenario-based searches.
β’ Avoid marketing language.
β’ Include emotional, situational, and practical context where relevant.
β’ Don't repeat the same query structure with minor variations.
β’ Each query should suggest a clear content angle.
Output as a clean bullet list grouped by category.
You can tweak this prompt for your brand and industry. The key is to force the LLM (and yourself) to think like a customer and avoid the trap of generating keyword lists that are just head-term variations dressed up as long-tail queries.
With a prompt like this, you move away from churning out βkeyword ideasβ and toward understanding real customer needs you can build useful content around.
Dig deeper: If SEO is rocket science, AI SEO is astrophysics
Most large brands and sites donβt realize theyβve been sitting on a treasure trove of user intelligence: on-site search data.
When customers type a query into your siteβs search box, theyβre looking for something they expect your brand to provide.
If you see the same searches repeatedly, it usually means one of two things:
In both cases, itβs a strong signal you need to improve your siteβs UX, add meaningful content, or both.
Thereβs another advantage to mining on-site search data: it reveals the exact words your audience uses, not the terms your team assumes they use.
Historically, the challenge has been the time required to analyze it. I remember projects where I locked myself in a room for days, reviewing hundreds of thousands of queries line by line to find patterns β sorting, filtering, and clustering them by intent.
If youβve done the same, you know the pattern. The first few dozen keywords represent unique concepts, but eventually you start seeing synonyms and variations.
All of this is buried treasure waiting to be explored. Your LLM can help. Hereβs a sample prompt you can use:
You're an SEO strategist analyzing internal site search data.
My goal is to identify content opportunities from what users are searching for on my website β including both major themes and specific long-tail needs within those themes.
I have attached a list of site search queries exported from GA4. Please:
STEP 1 β Cluster by intent
Group the queries into logical intent-based themes.
STEP 2 β Identify long-tail signals inside each theme
Within each theme:
β’ Identify recurring modifiers (price, location, comparisons, troubleshooting, etc.)
β’ Identify specific entities mentioned (products, tools, features, audiences, problems)
β’ Call out rare but high-intent searches
β’ Highlight wording that suggests confusion or unmet expectations
STEP 3 β Generate content ideas
For each theme:
β’ Suggest 3 β 5 content ideas
β’ Include at least one long-tail content idea derived directly from the queries
β’ Include one βhigh-intentβ content idea
β’ Include one βproblem-solvingβ content idea
STEP 4 β Identify UX or navigation issues
Point out searches that suggest:
β’ Users cannot find existing content
β’ Misleading navigation labels
β’ Missing landing pages
Output format:
Theme:
Supporting queries:
Long-tail insights:
Content opportunities:
UX observations:
Again, customize this prompt based on what you know about your audience and how they search.
The detail matters. Many SEO practitioners stop at a prompt like βgive me a list of topics for my clients,β but this pushes the LLM beyond simple clustering to understand the intent behind the searches.
I used on-site search data because itβs one of the richest, most transparent, and most actionable sources. But similar prompts can uncover hidden value in other keyword lists, such as βstriking distanceβ terms from Google Search Console or competitive keywords from Semrush.
Even better, if your organization keeps detailed customer interaction records (e.g., sales call notes, support tickets, chat transcripts), those can be more valuable. Unlike keyword datasets, they capture problems in full sentences, in the customerβs own words, often revealing objections, confusion, and edge cases that never appear in traditional keyword research.
The next step is to create great content.
Your goal is to create content so strong and authoritative that itβs picked up by sources like Common Crawl and survives the intense filtering AI companies apply when building LLM training sets. Realistically, only pioneering brands and recognized authorities can expect to operate in this rarefied space.
For the rest of us, the opportunity is creating high-quality long-tail content that ranks at the top across search engines β not just Google, but Bing, Brave, and even X.
This is one area where I wouldnβt rely on LLMs, at least not to generate content from scratch.
Why?
LLMs are sophisticated pattern matchers. They surface and remix information from across the internet, even obscure material. But they donβt produce genuinely original thought.
At best, LLMs synthesize. At worst, they hallucinate.
Many worry AI will take their jobs. And it will β for anyone who thinks βgreat contentβ means paraphrasing existing authority sources and competing with Wikipedia-level sites for broad head terms. Most brands will never be the primary authority on those terms. Thatβs OK.
The real opportunity is becoming the authority on specific, detailed, often overlooked questions your audience actually has. The long tail is still wide open for brands willing to create thoughtful, experience-driven content that doesnβt already exist everywhere else.
We need to face facts. The fat head is shrinking. The land rush is now for the βfat tail.β Hereβs what brands need to do to succeed:
Dominate searches for your brand
Search your brand name in a keyword tool like Semrush and review the long-tail variations people type into Google. Youβll likely find more than misspellings. Youβll see detailed queries about pricing, alternatives, complaints, comparisons, and troubleshooting.
If you donβt create content that addresses these topics directly β the good and the bad β someone else will. It might be a Reddit thread from someone who barely knows your product, a competitor attacking your site, a negative Google Business Profile review, or a complaint on Trustpilot.
When people search your brand, your site should be the best place for honest, complete answers β even and especially when they arenβt flattering. If you donβt own the conversation, others will define it for you.
The time for βfrequently asked questionsβ is over. You need to answer every question about your brandβfrequent, infrequent, and everything in between.
Go long
Head terms in your industry have likely been dominated by top brands for years. That doesnβt mean the opportunity is gone.
Beneath those competitive terms is a vast layer of unbranded, long-tail searches that have likely been ignored. Your data will reveal them.
Review on-site search, Google Search Console queries, customer support questions, and forums like Reddit. These are real people asking real questions in their own words.
The challenge isnβt finding questions to write about. Itβs delivering the best answers β not one-line responses to check a box, but clear explanations, practical examples, and content grounded in real experience that reflects what sets your brand apart.
Dig deeper: Timeless SEO rules AI canβt override: 11 unshakeable fundamentals
Expertise is now a commodity: Lean into experience, authority, and trust
Publishing expert content still matters, but its role has changed. Today, anyone can generate βexpert-soundingβ articles with an LLM.
Whether that content ranks in Google is increasingly beside the point, as many users go straight to AI tools for answers.
As the βexpertiseβ in E-E-A-T becomes table stakes, differentiation comes from what AI and competitors canβt easily replicate: experience, authority, and trust.
That means publishing:
This isnβt just about blog content. These signals should appear across your site β from your About page to product pages to customer support content. Every page should reinforce why a real person should trust your brand.
Stop paywalling your best content
Iβm seeing more brands put their strongest content behind logins or paywalls. I understand why. Many need to protect intellectual property and preserve monetization. But as a long-term strategy, this often backfires.
If your content is truly valuable, the ideas will spread anyway. A subscriber may paraphrase it. An AI system may summarize it. A crawler may access it through technical workarounds. In the end, your insights circulate without attribution or brand lift.
When your best content is publicly accessible, it can be cited, linked to, indexed, and discussed. That visibility builds authority and trust over time.
In a search- and AI-driven ecosystem, discoverability often outweighs modest direct content monetization.
This doesnβt mean content businesses canβt charge for anything. It means being strategic about what you charge for. A strong model is to make core knowledge and thought leadership open while monetizing things such as:
In other words, let your ideas spread freely and monetize the experience, expertise, and outcomes around them.
Stop viewing content as a necessary evil
I still see brands hiding content behind CSS βread moreβ links or stuffing blocks of βSEO copyβ at the bottom of pages, hoping users wonβt notice but search engines will.
Spoiler alert: they see it. They just donβt care.
Content isnβt something you add to check an SEO box or please a robot. Every word on your site must serve your customers. When content genuinely helps users understand, compare, and decide, it becomes an asset that builds trust and drives conversions.
If youβd be embarrassed for users to read your content, youβre thinking about it the wrong way. Thereβs no such thing as content thatβs βbad for users but good for search engines.β There never was.
Embrace user-generated content
No article on long-tail SEO is complete without discussing user-generated content. I covered forums and Q&A sites in a previous article (see: The reign of forums: How AI made conversation king), and they remain one of the most efficient ways to generate authentic, unique content.
The concept is simple. You have an audience thatβs already passionate and knowledgeable. They likely have more hands-on experience with your brand and industry than many writers you hire. They may already be talking about your brand offline, in customer communities, or on forums like Reddit.
Your goal is to bring some of those conversations onto your site.
User-generated content naturally produces the long-tail language marketing teams rarely create on their own. Customers
This is exactly the kind of content long-tail SEO thrives on.
Itβs also the kind of content AI systems and search engines increasingly recognize as credible because it reflects real experience rather than brand messaging many dismiss as inauthentic.
Brands that do this well donβt just capture long-tail traffic. They build trust, reduce support costs, and dominate long-tail searches and prompts.
In the age of AI-generated content, real human experience is one of the strongest differentiators.
For years, SEO has been shaped by the limits of the search box. Short queries and head terms dominated strategy, and long-tail content was often treated as optional.
LLMs are changing that dynamic. AI is expanding search, not eliminating it.
AI systems encourage people to express what they actually want to know. Those detailed prompts still need answers, and those answers come from the web.
That means the SEO opportunity is shifting from competing over a small set of keywords to becoming the best source of answers to thousands of specific questions.
Brands that succeed will:
Thatβs always been the recipe for SEO success. But our industry has a habit of inventing complex tactics to avoid doing the simple work well.
Most of us remember doorway pages, exact match domains, PageRank sculpting, LSI obsession, waves of auto-generated pages, and more. Each promised an edge. Few replaced the value of helping users.
Weβre likely to see the same cycle repeat in the AI era.
The reality is simpler. AI systems arenβt the audience. Theyβre intermediaries helping humans find trustworthy answers.
If you focus on helping people understand, decide, and solve problems, youβre already optimizing for AI β whatever you call it.
Dig deeper: Is SEO a brand channel or a performance channel? Now itβs both

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Just as every week brings another GeForce NOW Thursday, we also get an NVIDIA DLSS 4 Tuesday, with a new batch of games adding support for NVIDIA's DLSS 4 with Multi-Frame Generation technology. This week, two games are launching with support for NVIDIA DLSS 4: Styx: Blades of Greed, the return of the stealth-driven action adventure, and Star Trek: Voyager - Across the Unknown, a new strategy management game where you have to try to manage the crew of the U.S.S. Voyager and get the ship out of deep space and back to Earth. Both games also arrive with support [β¦]
Read full article at https://wccftech.com/nvidia-dlss-4-multi-frame-gen-styx-blades-of-greed-star-trek-voyager/

A new affordable IPS gaming monitor was rolled out by the Chinese manufacturer Titan Legion, which offers HDR600 support. Titan Legion Debuts 1440p@425Hz IPS Gaming Monitor, Boasting 10-bit Color Depth and HDR600 Support Chinese monitor maker, Titan Legion, has rolled out its newest high-end IPS gaming monitor that boasts 1440p resolution and a native 400 Hz refresh rate out of the box. The monitor is called "Cangdao X276T", where Cangdao translates to Blue/Cold Blade/Sword. The X276T offers up to 425 Hz refresh rate, making it a powerful, competitive, yet affordable gaming monitor for serious gamers. The Cangdao X276T offers a [β¦]
Read full article at https://wccftech.com/titan-legion-launches-2k-425hz-fast-ips-gaming-monitor-at-361/

Microsoft has announced a fresh batch of games that are landing soon on Xbox Game Pass, and there's a lot of love for roleplaying game fans, starting with the previously teased Kingdom Come: Deliverance II. The first-person historical RPG from Warhorse Studios will be available starting March 3 on the Game Pass Ultimate, Premium, and PC Game Pass tiers. In just two days from now, though, another massively acclaimed action RPG will join Game Pass: CD Projekt RED's The Witcher 3: Wild Hunt Complete Edition. Unfortunately, this will only be available via the cloud and on Xbox Series S and [β¦]
Read full article at https://wccftech.com/kingdom-come-deliverance-ii-the-witcher-3-xbox-game-pass/

An estimated 12,000 MediaTek employees will be eligible for bonuses for the second half of 2025. According to the latest report, the cumulative amount comes to NT$11.4 billion, or $363 million, with each employee receiving an average of NT$950,000, or $30,247.74 for H2 2025. The interesting bit about these figures is that the bonus handed to workers is said to be 15.7 percent lower than what they received in the first half of 2025, indicating that MediaTek could be preparing for a crunch period where it anticipates fewer chipset shipments due to the ongoing DRAM crisis. Smartphone chipset business brings [β¦]
Read full article at https://wccftech.com/mediatek-h2-2025-employee-bonus-15-percent-lower-than-h1-preparing-for-shipments-decline/


Over two months ago, Google began testing its AI-powered configuration tool. It allows you to ask AI questions about the Google Search Console performance reports and it would bring back answers for you. Well, Google is now rolling out this tool for all.
Google said on LinkedIn, βThe Search Consoleβs new AI-powered configuration is now available to everyone!β
AI-powered configuration.Β AI-powered configuration βlets you describe the analysis you want to see in natural language. Your inputs are then transformed into the appropriate filters and settings, instantly configuring the report for you,β GoogleΒ said.
Rolling out now. If you login to your Search Console account and click on the performance report, you may see a note at the top that says βNew! Customize your Performance report using Al.β

When you click on it, you get into the AI tool:

More details.Β As we reported earlier, Google said βThe AI-powered configuration feature is designed to streamline your analysis by handling three key elements for you.β
Why we care. This is only supported in the Performance report for Search results. It isnβt available for Discover or News reports, yet. Plus, it is AI, so the answers may not be perfect. But it can be fun to play with and get you thinking about things you may not have thought about yet.
So give it a try.

Rand Fishkin just published the most important piece of primary research the AI visibility industry has seen so far.
His conclusion β that AI tools produce wildly inconsistent brand recommendation lists, making βranking positionβ a meaningless metric β is correct, well-evidenced, and long overdue.
But Fishkin stopped one step short of the answer that matters.
He didnβt explore why some brands appear consistently while others donβt, or what would move a brand from inconsistent to consistent visibility. That solution is already formalized, patent pending, and proven in production across 73 million brand profiles.
When I shared this with Fishkin directly, he agreed. The AI models are pulling from a semi-fixed set of options, and the consistency comes from the data. He just didnβt have the bandwidth to dig deeper, which is fair enough, but the digging has been done β Iβve been doing it for a decade.
Hereβs what Fishkin found, what it actually means, and what the data proves about what to do about it.
Fishkin and Patrick OβDonnell ran 2,961 prompts across ChatGPT, Claude, and Google AI, asking for brand recommendations across 12 categories. The findings were surprising for most.
Fewer than 1 in 100 runs produced the same list of brands, and fewer than 1 in 1,000 produced the same list in the same order. These are probability engines that generate unique answers every time. Treating them as deterministic ranking systems is β as Fishkin puts it β βprovably nonsensical,β and Iβve been saying this since 2022. Iβm grateful Fishkin finally proved it with data.
But Fishkin also found something he didnβt fully unpack. Visibility percentage β how often a brand appears across many runs of the same prompt β is statistically meaningful. Some brands showed up almost every time, while others barely appeared at all.
That variance is where the real story lies.
Fishkin acknowledged this but framed it as a better metric to track. The real question isnβt how to measure AI visibility, itβs why some brands achieve consistent visibility and others donβt, and what moves your brand from the inconsistent pile to the consistent pile.
Thatβs not a tracking problem. Itβs a confidence problem.
AI platforms β ChatGPT, Claude, Google AI, Perplexity, Gemini, all of them β generate every response by sampling from a probability distribution shaped by:
When the model is highly confident about an entityβs relevance, that entity appears consistently. When the model is uncertain, the entity sits at a low probability weight in the distribution β included in some samples, excluded in others β not because the selection is random but because the AI doesnβt have enough confidence to commit.
Thatβs the inconsistency Fishkin documented, and I recognized it immediately because Iβve been tracking exactly this pattern since 2015.Β
Confidence isnβt just about what a brand publishes or how it structures its content. Itβs about where that brand stands relative to every other entity competing for the same query β a dimension Iβve recently formalized as Topical Position.
Iβve formalized this phenomenon as βcascading confidenceβ β the cumulative entity trust that builds or decays through every stage of the algorithmic pipeline, from the moment a bot discovers content to the moment an AI generates a recommendation. Itβs the throughline concept in a framework I published this week.
Dig deeper: Search, answer, and assistive engine optimization: A 3-part approach
The pipeline is called DSCRI-ARGDW β discovered, selected, crawled, rendered, indexed, annotated, recruited, grounded, displayed, and won. That sounds complicated, but I can summarize it in a single question that repeats at every stage: How confident is the system in this content?
Confidence at each stage feeds the next. A URL from a well-structured, fast-rendering, semantically clean site arrives at the annotation stage with high accumulated confidence before a single word of content is analyzed. A URL from a slow, JavaScript-heavy site with inconsistent information arrives with low confidence, even if the actual content is excellent.
This is pipeline attenuation, and hereβs where the math gets unforgiving. The relationship is multiplicative, not additive:
In plain English, the final confidence an AI system has in your brand equals the initial confidence from your entity home multiplied by the transfer coefficient at every stage of the pipeline. The entity home β the canonical web property that anchors your entity in every knowledge graph and every AI model β sets the starting confidence, and then each stage either preserves or erodes it.Β
Maintain 90% confidence at each of 10 stages, and end-to-end confidence is 0.9ΒΉβ° = 35%. At 80% per stage, itβs 0.8ΒΉβ° = 11%. One weak stage β say 50% at rendering because of heavy JavaScript β drops the total from 35% to 19% even if every other stage is at 90%. One broken stage can undo the work of nine good ones.
This multiplicative principle isnβt new, and it doesnβt belong to anyone. In 2019, I published an article, How Google Universal Search Ranking Works: Darwinism in Search, based on a direct explanation from Googleβs Gary Illyes. He described how Google calculates ranking βbidsβ by multiplying individual factor scores rather than adding them. A zero on any factor kills the entire bid, no matter how strong the other factors are.
Google applies this multiplicative model to ranking factors within a single system, and nobody owns multiplication. But what the cascading confidence framework does is apply this principle across the full 10-stage pipeline, across all three knowledge graphs.
The system provides measurable transfer coefficients at every transition and bottleneck detection that identifies exactly where confidence is leaking. The math is universal, but the application to a multi-stage, multi-graph algorithmic pipeline is the invention.
This complete system is the subject of a patent application I filed with the INPI titled βSystΓ¨me et procΓ©dΓ© dβoptimisation de la confiance en cascade Γ travers un pipeline de traitement algorithmique multi-Γ©tapes et multi-graphes.β Itβs not a metaphor, itβs an engineered system with an intellectual lineage going back seven years to a principle a Google engineer confirmed to me in person.
Fishkin measured the output β the inconsistency of recommendation lists. But the output is a symptom, and the cause is confidence loss at specific stages of this pipeline, compounded across multiple knowledge representations.
You canβt fix inconsistency by measuring it more precisely. You can only fix it by building confidence at every stage.
Thereβs a specific transition point where AI behavior changes. I call it the βcorroboration thresholdβ β the minimum number of independent, high-confidence sources corroborating the same conclusion about your brand before the AI commits to including it consistently.
Below the threshold, the AI hedges. It says βclaims to beβ instead of βis,β it includes a brand in some outputs but not others, and the reason isnβt randomness but insufficient confidence.
The brand sits in the low-confidence zone, where inconsistency is the predictable outcome. Above the threshold, the AI asserts β stating relevance as fact, including the brand consistently, operating with the kind of certainty that produces City of Hopeβs 97%.
My data across 73 million brand profiles places this threshold at approximately 2-3 independent, high-confidence sources corroborating the same claim as the entity home. That number is deceptively small because βhigh-confidenceβ is doing the heavy lifting β these are sources the algorithm already trusts deeply, including Wikipedia, industry databases, and authoritative media.Β
Without those high-authority anchors, the threshold rises considerably because more sources are needed and each carries less individual weight. The threshold isnβt a one-time gate. Once crossed, the confidence compounds with every subsequent corroboration, which is why brands that cross it early pull further ahead over time, while brands that havenβt crossed it yet face an ever-widening gap.
Not identical wording, but equivalent conviction. The entity home states, βX is the leading authority on Y,β two or three independent, authoritative third-party sources confirm it with their own framing, and the AI encodes it as fact.
This fact is visible in my data, and it explains exactly why Fishkinβs experiment produced the results it did. In narrow categories like LA Volvo dealerships or SaaS cloud computing providers β where few brands exist and corroboration is dense β AI responses showed higher pairwise correlation.Β
In broad categories like science fiction novels β where thousands of options exist and corroboration is thin β responses were wildly diverse. The corroboration threshold aligns with Fishkinβs findings.
Dig deeper: The three AI research modes redefining search β and why brand wins
Authoritas published a study in December 2025 β βCan you fake it till you make it in the age of AI?β β that tested this directly, and the results confirm that Cascading Confidence isnβt just theory. Where Fishkinβs research shows the output problem β inconsistent lists β Authoritas shows the input side.
Authoritas investigated a real-world case where a UK company created 11 entirely fictional βexpertsβ β made-up names, AI-generated headshots, faked credentials. They seeded these personas into more than 600 press articles across UK media, and the question was straightforward: Would AI models treat these fake entities as real experts?
The answer was absolute: Across nine AI models and 55 topic-based questions β βWho are the UKβs leading experts in X?β β zero fake experts appeared in any recommendation. Six hundred press articles, and not a single AI recommendation. That might seem to contradict a threshold of 2-3 sources, but it confirms it.Β
The threshold requires independent, high-confidence sources, and 600 press articles from a single seeding campaign are neither independent β they trace to the same origin β nor high-confidence β press mentions sit in the document graph only.
The AI models looked past the surface-level coverage and found no deep entity signals β no entity home, no knowledge graph presence, no conference history, no professional registration, no corroboration from the kind of authoritative sources that actually move the needle.
The fake personas had volume, they had mentions, but what they lacked was cascading confidence β the accumulated trust that builds through every stage of the pipeline. Volume without confidence means inconsistent appearance at best, while confidence without volume still produces recommendations.
AI evaluates confidence β it doesnβt count mentions. Confidence requires multi-source, multi-graph corroboration that fabricated entities fundamentally canβt build.
Authoritas used the weighted citability score, or WCS, a metric that measures how much AI engines trust and cite entities, calculated across ChatGPT, Gemini, and Perplexity using cross-context questions.
I have no influence over their data collection or their results. Fishkinβs methodology and Authoritasβ arenβt identical. Fishkin pinged the same query repeatedly to measure variance, while Authoritas tracks varied queries on the same topic. That said, the directional finding is consistent.
Their dataset includes 143 recognized digital marketing experts, with full snapshots from the original study by Laurence OβToole and Authoritas in December 2025 and their latest measurement on Feb. 2. The pattern across the entire dataset tells a story that goes far beyond individual scores.
More experts are being cited, the field is getting bigger, and the top is pulling away faster. Dominance is compounding while the long tail grows.
This is cascading confidence at population scale. The experts who actively manage their digital footprint β clean entity home, corroborated claims, consistent narrative across the algorithmic trinity β arenβt just maintaining their position, theyβre accelerating away from everyone else.
Each cycle of AI training and retrieval reinforces their advantage β confident entities generate confident AI outputs, which build user trust, which generate positive engagement signals, which further reinforce the AIβs confidence. Itβs a flywheel, and once itβs spinning, it becomes very, very hard for competitors to catch up.
At the individual level, the data confirms the mechanism. I lead the dataset at a WCS of 23.50, up from 21.48 in December, a gain of +2.02. Thatβs not because Iβm more famous than everyone else on the list.
Itβs because weβve been systematically building my cascading confidence for years β clean entity home, corroborated claims across the algorithmic trinity, consistent narrative, structured data, deep knowledge graph presence.
Iβm the primary test case because Iβm in control of all my variables β I have a huge head start. In a future article, Iβll dig into the details of the scores and why the experts have the scores they do.
The pattern across my client base mirrors the population data. Brands that systematically clean their digital footprint, anchor entity confidence through the entity home, and build corroboration across the algorithmic trinity donβt just appear in AI recommendations.
They appear consistently, their advantage compounds over time, and they exit the low-confidence zone to enter the self-reinforcing recommendation set.
Dig deeper: From SEO to algorithmic education: The roadmap for long-term brand authority
AI systems pull from what I call the Three Graphs model β the algorithmic trinity β and understanding this explains why some brands achieve near-universal visibility while others appear sporadically.
When retrieval systems combine results from multiple sources β and they do, using mechanisms analogous to reciprocal rank fusion β entities present across all three graphs receive a disproportionate boost.
The effect is multiplicative, not additive. A brand that has a strong presence in the knowledge graph and the document index and the concept space gets chosen far more reliably than a brand present in only one.
This explains a pattern Fishkin noticed but didnβt have the framework to interpret β why visibility percentages clustered differently across categories. The brands with near-universal visibility arenβt just βmore famous,β they have dense, corroborated presence across all three knowledge representations. The brands in the inconsistent pool are typically present in only one or two.Β
The Authoritas fake expert study confirms this from the negative side. The fake personas existed only in the document graph, press articles, with zero entity graph presence and negligible concept graph encoding. One graph out of three, and the AI treated them accordingly.
Fishkinβs recommendations were cautious β visibility percentage is a reasonable metric, ranking position isnβt, and brands should demand transparent methodology from tracking vendors. All fair, but thatβs analyst advice. What follows is practitioner advice, based on doing this work in production.
The entire AI tracking industry is fixated on measuring what AI says about you, which is like checking your blood pressure without treating the underlying condition. Measure if it helps, but the work is in building confidence at every stage of the pipeline, and thatβs where I focus my clientsβ attention from day one.
My experience clearly demonstrates that this single intervention produces the fastest measurable results. Your entity home is the canonical web property that should anchor your entity in every knowledge graph and every AI model. If itβs ambiguous, hedging, or contradictory with what third-party sources say about you, it is actively training AI to be uncertain.Β
Iβve seen aligning the entity home with third-party corroboration produce measurable changes in bottom-of-funnel AI citation behavior within weeks, and it remains the highest ROI intervention I know.
I ask every client to identify the claims that matter most:
Then, I work with them to ensure each claim is corroborated by at least 2-3 independent, high-authority sources. Not just mentioned, but confirmed with conviction.Β
This is what flips AI from βsometimes includesβ to βreliably includes,β and Iβve seen it happen often enough to know the threshold is real.
Dig deeper: SEO in the age of AI: Becoming the trusted answer
Knowledge graph presence (structured data, entity recognition), document graph presence (indexed, well-annotated content on authoritative sites), and concept graph presence (consistent narrative across the corpus AI trains on) all need attention.Β
The Authoritas study showed exactly what happens when a brand exists in only one β the AI treats it accordingly.
Most SEO and GEO advice operates at the display stage, optimizing what AI shows. But if your content is losing confidence at discovery, selection, rendering, or annotation, it will never reach display consistently enough to matter.Β
Iβve watched brands spend months on display-stage optimization that produced nothing because the real bottleneck was three stages earlier, and I always start my diagnostic at the beginning of the pipeline, not the end.
The WCS data across 143 tracked experts shows that AI citability concentration increased 293% in under two months. The experts who maintain their digital footprint are pulling away from everyone else at an accelerating rate.Β
Starting now still means starting early, but waiting means competing against entities whose advantage compounds every cycle. This isnβt a one-time project. Itβs an ongoing discipline, and the returns compound with every iteration.
Fishkinβs research is a gift to the industry. He killed the myth of AI ranking position with data, he validated that visibility percentage, while imperfect, correlates with something real, and he raised the right questions about methodology that the AI tracking vendors should have been answering all along.
But tracking AI visibility without understanding why visibility varies is like tracking a stock price without understanding the business. The price is a signal, and the business is the thing.
AI recommendations are inconsistent when AI systems lack confidence in a brand. They become consistent when that confidence is built deliberately, through:
This isnβt speculation, and the evidence comes from every direction.
The process behind this approach has been under development since 2015 and is formalized in a peer-review-track academic paper. Several related patent applications have been filed in France, covering entity data structuring, prompt assembly, multi-platform coherence measurement, algorithmic barrier construction, and cascading confidence optimization.
The dataset supporting the work spans 25 billion data points across 73 million brand profiles. In tracked populations, shifts in AI citability have been observed β including cases where the top 10 experts increased their share from 31% to 60% in under two months while the overall field expanded. Independent research from Authoritas reports findings that align with this mechanism.
Fishkin proved the problem exists. My focus over the past decade has been on implementing and refining practical responses to it.
This is the first article in a series. The second piece, βWhat the AI expert rankings actually tell us: 8 archetypes of AI visibility,β examines how the pipelineβs effects manifest across 57 tracked experts. The third, βThe ten gates between your content and an AI recommendation,β opens the DSCRI-ARGDW pipeline itself.
ASUSASUS has temporarily suspended its official website and online store in Germany following a Munich I Regional Court ruling (case no. Munich I - 7 O 4102/25) related to a patent dispute with Nokia. The suspension, resulting from a temporary injunction, affects select ASUS PCs and products using High Efficiency Video Coding (HEVC). All after-sales services in Germany remain fully operational, and existing customers will continue to receive uninterrupted support in full compliance with the current court order. ASUS is evaluating and pursuing further legal action to reach a fair resolution as soon as possible. ASUS continues to stand by its position and remains committed to our customers and partners.

Apple is apparently considering the pitfalls of turning to Chinese memory makers, YMTC and CXMT, to satiate its thirst for memory resources. While details are scarce at the moment, the gambit might simply be Apple's way of countering the hardball negotiation tactics employed by the so-called big three - SK hynix, Samsung, and Micron - as well as KIOXIA. Apple is reportedly exploring a partnership with YMTC and CXMT For the benefit of those who might not be aware, Apple secures its DRAM resources primarily from Samsung Electronics, which accounts for around 60 percent of the DRAM supply for the [β¦]
Read full article at https://wccftech.com/apple-eyeing-a-partnership-with-chinese-memory-makers-ymtc-and-cxmt-as-the-big-three-adopt-hardball-tactics/

February 2026 State of Play presentation delivered some great news for fans of the Metal Gear Solid series, as KONAMI revealed during the show the Metal Gear Solid Master Collection Vol. 2, which will finally make Metal Gear Solid 4: Guns of the Patriots available on formats other than PlayStation 3 on August 27. However, if you were thinking about experiencing the original version of the game ahead of the remaster's release and can't track down a physical copy, you may be out of luck, at least for the time being. As reported by multiple users on X and the [β¦]
Read full article at https://wccftech.com/metal-gear-solid-4-guns-of-the-patriots-peace-walker-have-been-delisted-from-digital-stores-without-warning/


Google Ads is rolling out a beta feature that lets advertisers connect external data sources directly inside conversion action settings, tightening the link between first-party data and campaign measurement.
How it works. A new section in conversion action details β labeled βGet deeper insights about your customersβ behavior to improve measurementβ β prompts advertisers to connect external databases to their Google tag.

Why we care. Direct integrations could reduce friction in syncing offline or backend data with ad measurement. This beta from Google Ads makes it easier to connect first-party data directly to conversion tracking, which can improve measurement accuracy and campaign optimization.
By integrating sources like BigQuery or MySQL, brands can feed richer customer data into their signals, helping offset data loss from privacy changes. In practical terms, better data in means smarter bidding, clearer attribution, and potentially stronger ROI.
Between the lines. Embedding data connections inside conversion settings β rather than requiring separate pipelines β makes advanced measurement more accessible to everyday advertisers, not just enterprise teams.
Zoom out. As ad platforms compete on measurement accuracy, native data integrations are becoming a key differentiator, especially for brands investing heavily in proprietary customer data.

In a perfect world, you could call up a top customer to pick their brain about a piece of content. But in reality, it can be extremely difficult and time-consuming to conduct audience interviews every time you need to create a new topic or refresh an old piece.Β
A few years ago, content marketing was simpler β keyword intent and quality content was enough to rank at the top of Googleβs SERP to get clicks. But in the new era of AI, expectations are different.
Audience research has become critical. However, some companies may not have the resources to perform it.
One way to better understand your target audience is to create a custom GPT in ChatGPT, configured with your persona research. These arenβt replacements for audience research or interviews, but they can help you quickly identify what might be missing or wrong in your content.Β
Below, Iβll explain how GPTs work so you can use them for audience research.
Now that the SEO landscape is evolving, audience research is one of your strongest tools to understand the βwhyβ behind search intent.Β
Here are several easy-to-use methods and tools to get you started on research.Β
Dig deeper: How to do audience research for SEO
After completing your research, create a persona β a representation of your target audience. Figma and FigJam are strong tools for building them.
Your persona should include:Β
Now that you have all your research and your persona, itβs time to make a GPT.Β
First, log in to ChatGPT, then go to Explore GPTs in the sidebar.Β
In the upper right corner, click on Create.

Once there, prompt ChatGPT with your audience research data and persona information. You can paste in screenshots of your data to make it easier.Β


Once all your data is in and a GPT is created, you can start talking to it. Under the Configure tab, you can use conversation starters to ask it about changes, updates, and copy.

These GPTs, like all AI models, arenβt 100% accurate. They donβt replace a real audience survey or interview, but they can help you quickly identify issues with a piece of content and how it might not connect with your audience.Β
Hereβs an example of an optimized page. GPT βHankβ helped make sure the section above the fold did what was intended.Β



Hank has said whatβs working, what isnβt working, and where to improve.
But should you take his advice 100% of the time?Β Of course not.Β
But the GPT helps quickly identify issues you may have missed. Thatβs where the real benefit of using a GPT comes in.Β
Dig deeper: 7 custom GPT ideas to automate SEO workflows
Nothing analyzed or generated by AI is conclusive evidence. If youβre unsure your GPT is giving you accurate information, double-check by prompting it to provide evidence from the sources you gave it.Β

The GPT can correct itself if the information sounds off. When it does, again ask for evidence from the persona information you provided to double-check the new information.Β
You can always add more information to your GPT to make it more robust.Β
To do this, go back to Explore GPTs in ChatGPT.Β
Instead of Create, go to My GPTs in the top right-hand corner.Β
Click on your persona.Β

Click on Configure to update, add, or delete your current information.

Remember that a persona is never a one-and-done situation. The more you learn about your audience and the more information you give a GPT, the better, to keep it up to date.Β
Personas arenβt absolute, and AI can hallucinate.Β
But both tools can still help you optimize content.Β
Once youβre comfortable creating personas, you can build them for your general audience, specific segments, and individual campaigns.
SEO and marketing are always changing, and you canβt just set it and forget it. As you gain audience insights or if audience intent shifts, update information or delete anything no longer relevant in your GPT.Β
When leveraged correctly, these tools can work with SEO to drive traffic and gain more conversions.
Gamers on Windows should update now β Microsoftβs February 2026 update contains a ton of fixes With its February 2026 update, Microsoft has reportedly addressed a longstanding Windows 11 βKERNEL_SCURITY_CHECK_FAILUREβ BSOD (Blue/Black Screen of Death) issue. This issue appears to affect players of games with kernel-level anti-cheat, such as Marvel Rivals and Genshin Impact. According [β¦]
The post Microsoft fixes BSOD-causing gaming bug with Windows 11 update appeared first on OC3D.
Valveβs Steam Deck has been impacted by component shortages, making the device βout of stockβ in some regions Valve has issued a warning on Steam that its Steam Deck has been impacted by βshortagesβ. This has caused the device to become βout-of-stockβ in some regions. Valve has stated that its Steam Deck will now be [β¦]
The post Steam Deck βout of stockβ as production hit by βshortagesβ β Valve confirms appeared first on OC3D.
Apiosk is a programmable payment layer that lets you sell API calls on a pay-per-request basis with sub-millisecond validation and instant settlement. It embeds an x402 payment proof into the HTTP header, removing long-lived API keys and reducing breach risk for AI-to-AI traffic. Developers can import endpoints from GitHub or an OpenAPI schema, choose networks like Base, Ethereum, and Polygon, and accept stablecoins such as USDC, USDT, and DAI. Use Apiosk to meter usage, prevent abuse, and monetize APIs without subscriptions.


The poor DRAM availability and its high prices have affected the GPU prices on a global level, resulting in price skyrocketing. Every Current-Gen NVIDIA, AMD, and Intel GPU Sees Price Increases, but the RTX 5090, RTX 5080, and RTX 5070 Ti Lead the Surge Sky-high GPU prices driven by the poor DRAM availability have forced gamers to pay more for the current-gen graphics cards. The latest NVIDIA and AMD GPUs took several months post-launch to stabilize in prices, but they finally appeared abundant on the shelves. It only took a few months to see them climbing back in prices, thanks [β¦]
Read full article at https://wccftech.com/global-gpu-prices-grew-by-nearly-15-over-three-month/

Monster Hunter Wilds launched in a rough state last year, with performance issues across the board that made it difficult for many to enjoy the latest entry in the series. Following multiple updates, however, the game is in a much better state, especially on PC, and runs way more smoothly on a bigger number of system configurations. Even so, the development team is not yet done improving the technical state of Monster Hunter Wilds, as tomorrow's update will introduce additional CPU and GPU optimizations to reduce load and improve the overall experience. These new optimizations have been confirmed by the [β¦]
Read full article at https://wccftech.com/monster-hunter-wilds-update-1-041-00-00-full-patch-notes-cpu-gpu-load/

Phison's CEO has discussed the future of the consumer tech market, claiming that, amid shortages, several businesses dependent on DRAM will be destroyed. Phison's CEO Says that Enterprise Demand Hasn't Been Fully "Factored In", Showing a Gloomy Future for Consumers It appears that company executives have now started to factor in the long-term effects of the memory shortages, and Phison's CEO has flashed warnings that the markets wouldn't have anticipated at all. In an interview with Chinese media (via QQ_Timmy), CEO K.S. Pua discussed the current conditions of the DRAM and NAND supply chains, and based on his comments, it [β¦]
Read full article at https://wccftech.com/dram-nand-shortages-will-extend-beyond-2030-warns-phison-ceo/

While an official confirmation has yet to be made, The Witcher 3: Wild Hunt is very likely going to receive a new DLC expansion later this year. Reportedly intended to bridge the gap between the third and upcoming fourth entries in theΒ series, this new expansion is said to feature aΒ new region,Β speculated to beΒ Zerrikania. According to a known Polish insider, however, people are "looking too far away," suggesting the new explorable region will be closer to the regions we already have in the game, namely Velen and the Northern Kingdoms. Commenting on old map design approaches in video games in a [β¦]
Read full article at https://wccftech.com/the-witcher-3-new-dlc-closer-to-velen/

Single-threaded performance is where Appleβs chipsets have always dominated for years, with its A19 and A19 Pro extending that win column once more. However, this streak is currently being threatened by the Galaxy S26 Ultra, which is said to ship with Qualcommβs faster Snapdragon 8 Elite Gen 5 for Galaxy. In the latest benchmark comparison, the iPhone 17 Pro Max is barely faster than its upcoming competitor, which can only mean that this year can potentially be the one where Qualcomm dethrones its rival with the Snapdragon 8 Elite Gen 6 Pro. A19 Pro is only 3.5% faster than overclocked [β¦]
Read full article at https://wccftech.com/iphone-17-pro-max-barely-faster-than-galaxy-s26-ultra-in-its-favorite-benchmark/

[UPDATE] Just a few hours after we posted this story, Microsoft has confirmed that Kingdom Come: Deliverance II is indeed being added to Xbox Game Pass soon. Find out the full list of new additions here. [ORIGINAL STORY] Xbox Game Pass just received Kingdom Come: Deliverance a few days ago, and now a "rumor" suggests its sequel, Kingdom Come: Deliverance II, might join the library shortly. We said "rumor" because the tease comes from an official source, the X account of Microsoft's subscription service, which brushed up the emails of "Melissa McGamepass" for the occasion. For unfamiliar readers, Melissa McGamepass [β¦]
Read full article at https://wccftech.com/kingdom-come-deliverance-ii-might-join-xbox-game-pass/
