How foundries are shaping the next era of enterprise AI
Google previews Meridian GeoX, Meridian Studio, Data Manager updates, and visual Google tag setup ahead of Google Marketing Live.
The post Google Previews Meridian GeoX, Data Manager Measurement Updates appeared first on Search Engine Journal.
To move at the speed of AI, simplify your data and understand whatβs driving growth. Learn more in the lead-up to Google Marketing Live. 
Google is trying a new method of bot authentication named Web Bot Auth. Google posted a new help document that explains that Web Bot Auth is a βnew cryptographic protocol that helps websites to validate that bots are authentic.β
The goal of Web Bot Auth is to help you automate the process of authenticating which AI Agent bots are authentic and which are fraud.
Limited test. Google said the search compan is βtesting the protocol with some AI agents hosted on Google infrastructure.β Not all Google user agents are using Web Bot Auth and Google is not yet signing every request of agents using the protocol.
Thus Google recommends that in addition to Web Bot Auth you continue relying onΒ IP addresses, reverse DNS, and user-agent stringsΒ as Google gradually rolls out signed traffic.
What is Web Bot Auth. Google defined Web Bot Auth as βWeb Bot Auth is an experimental cryptographic protocol used to authenticate requests sent by bots. Instead of relying solely on self-reported headers and IP addresses, Web Bot Auth allows agents to cryptographically sign their requests.β
Web Bot Auth can bring the following benefits according to Google:
Why we care. As AI Agents become more and more common across the web, managing which Agents can access your site and web pages may become more and more of a challenge. This new method of authentication may help you allow authentic AI Agents and block the inauthentic AI Agents.
Again, this is an βexperimentalβ feature right now, so keep track of its progress.

One of the major reasons PPC practitioners hold onto syntax-oriented keyword strategies is the disconnect between βquery intentβ and βconversion intent.β For years, youβve likely relied on keywords to show you understand what your customers want and to prequalify traffic using syntax-oriented signals.
As user behavior shifts to more conversational queries and AI becomes an increasingly relevant part of the user journey, the distinction between these two intents becomes even more critical to understand and act on.
Here, weβll define query and conversion intent and explore strategies to apply them effectively. This isnβt prescriptive. You should make decisions based on what will serve your business well. However, it provides a framework for analyzing your data and optimizing for the right humans.
Disclosure: Iβm a Microsoft employee, and Iβll be sharing some examples that pull from Microsoft tooling. However, most of the strategies reflect platform-agnostic approaches.
Query intent is the underlying need driving the text put into a search function. This search function can be on a SERP (search engine results page), video/social/gaming/email/site search bar, or AI surface.
Conversion intent is the human need to achieve some outcome, understood through stated and inferred data points. These range from text entered in various search experiences, content consumed, and tracked actions taken.
Different examples of query and conversion intent will have higher or lower rates of confidence based on how explicit text is, as well as patterns in content consumed.
For example, if I search βMicrosoft ads login,β both query and conversion intent are clear β I want to log in. Itβs easy to match ads and organic content to that query. Videos shown in any video query would have to do with logging in, and emails would be focused around login information.
Google SERP

Bingβs SERP

YouTube results

The query βMicrosoft adsβ is more nebulous, as such, needs to draw from other signals like previously engaged content and search history. While I might get a login page, Iβd likely also see blog/sales content, third-party advice on Microsoft ads, and potentially competitor info trying to capitalize on the general nature of the query.
Google SERP

Bing SERP

YouTube results

Letβs look at a non-branded example as well. βPurple hair dyeβ has a clear transactional intent. While the user might not have a brand in mind, they know they want a specific color.Β
We donβt know if the user is looking for a semi-permanent or permanent color. We also donβt know the userβs pronouns, so matching them to a specific demographic to entice a purchase is a gamble.Β
Google SERP

Bing SERP

YouTube results

In the query βpurple hair dye for long wavy hair,β the transactional intent is maintained. However, the query focuses more on the core needs of the person behind the text. Long, wavy hair means there needs to be enough dye to cover long hair.
Additionally, while some men have long wavy hair, the person behind the query is more likely to identify as female.Β
Wavy hair has a different composition than straight or curly hair, so products specifically for wavy hair will be more relevant than those without hair type identifiers.
Google SERP

Bing SERP

YouTube results

In all of these examples, there was clear conversion intent. The human behind the query clearly wanted to achieve something. However, if we relied only on the text (i.e., query intent), we might miss a meaningful opportunity to connect with customers.Β
This is why close variants (which have been available on both Google and Microsoft for ~10 years) represent a useful way to unshackle ourselves from syntax alone.
Additionally, by limiting our understanding of queries to SERPs, we ignore critical insights from where our customers connect, work, and play. Microsoftβs internal data from March 2024 shows that brands that use both Audience ads (display, native, and video) and Search see a 6x conversion rate. Part of this is brand recognition, and the power of brand media buys influencing performance.
Yet thereβs also the pragmatic piece that some marketers refuse to engage with video and social. By being where your competitors refuse to be, you can shape and capture desire while they fight over a shrinking share of voice.
Once you understand the difference between query and conversion intent, you can begin mapping out the actions needed to capitalize on both.
Conversion intent is much easier to understand than query intent. This is why AI systems typically run queries in the background to understand human input and get at the conversion intent behind the query.Β
To succeed at shaping queries and capturing conversions, itβs critical to understand the input points for humans and the AI systems that will be serving them results.
Letβs revisit the βpurple hair dye for long wavy hairβ query:

Copilot surfaces how it arrived at the output by looking up information and finding the best matches. This is similar to the SEO concept of E-E-A-T.
Yet youβll notice that the results for my personal Copilot are different than the traditional SERP (chiefly that ads arenβt the dominant result β ads serve at the bottom of clearly transactional conversations after organic listings).
This is where the βDetailsβ function comes into play and can help you know where to focus content, feed, and messaging functions:

This product is pretty flat on price, save for some deep summer dips. If Iβm desperate for color, I might buy now, or I might wait for what seems like a regular summer sale. Iβm also getting insights into why this product is wonderful (hair conditioning, cruelty-free, vibrant, and customizable color, etc.).
These are things Iβve shown interest in through past purchases, conversations with Copilot, and other signals it has access to.
Brands that want to optimize for query intent need to make sure the following are in good order:
Conversion intent is more straightforward, though debatably harder because it requires more creative and critical thinking:Β
Ultimately, both query and conversion intent need brand and performance marketing to be successful, and itβs critical to understand how the success metrics manifest.
For a long time, brand and performance marketing were treated as separate motions, with separate owners, budgets, and success metrics.Β
That separation made sense when channels, measurement, and user journeys were cleaner than they are today. Itβs much harder to maintain in an environment where AI systems infer intent continuously and across surfaces.Β
A user doesnβt experience brand and performance as separate. They experience confidence, familiarity, relevance, and ease. Those signals are created over time through exposure, engagement, and trust, and they often determine whether conversion intent ever materializes, regardless of how βhigh intentβ a query might appear on its own.
From a metrics perspective, this convergence is clear. Brand-oriented activity influences performance outcomes even when it isnβt the final touch. Exposure to display, native, or video doesnβt always produce an immediate click, but it changes how humans and systems interpret future behavior.Β
When someone later performs a search, engages with an AI assistant, or compares options on a marketplace, prior brand interactions act as accelerators. They reduce hesitation, shorten decision cycles, and increase the likelihood that a conversion signal will be credited downstream.
From a strategy standpoint, this means brand work should no longer be evaluated solely on isolated upper-funnel KPIs, and Performance work canβt be evaluated purely on last-click efficiency.Β
Audience-based formats, contextual placements, and visual storytelling directly shape conversion intent by shaping preferences and expectations before a query even occurs. Search and shopping formats then serve as capture mechanisms, translating that latent intent into action.
This is particularly relevant in AI-assisted experiences, where systems synthesize multiple inputs before presenting options or recommendations. Content, feeds, reviews, images, and historical engagement all influence how brands are represented and when they appear.
In these environments, strong brand signals donβt compete with performance outcomes. They enable them by making the brand easier to understand, trust, and choose.
Brand and performance donβt need to use the same tactics, but they must be planned together. Measurement frameworks should account for assistive value, not just final interactions.
Creative strategies should recognize that inspiration and conversion often happen at different moments. Optimization should focus less on forcing intent into rigid buckets and more on supporting the full decision journey.
When we recognize that query intent and conversion intent are related but not identical, the convergence of brand and performance becomes less a philosophical debate and more an operational necessity.
Success comes from designing systems that reflect how humans actually decide, not just how they type.
Key takeaways

In February 2025, the world watched as a small group of humanoid robots took the stage at the CCTV Chinese New Year show for the very first time. It was a charming performance, even if the steps were shaky and the movements were mostly limited to the arms.
Just one year later, at the Spring Festival Gala, the shaky steps were gone and the humanoid robots were able to actually run and do standing somersaults and full kung fu routines with swords and nunchaku. The message was clear: in just one year, we have witnessed a decadeβs worth of advancement.
The 10-year leap in technology is real and not limited to robotics. Which raises a critical question for every digital marketer eyeing the worldβs largest web population: How has search in China progressed in recent years?
The answer is that weβre witnessing the first, calculated tremors of a massive shift. AI models have not yet replaced traditional search. The evolution isnβt happening through a single βbig bang,β but through a constant, iterative pulse.Β
New LLM models are surfacing every few months, each more specialized than the last. Chinese tech giants are increasingly open-sourcing their models, and even industry leaders are hedging their bets. Baidu, for example, is integrating DeepSeek into its search experience, even as its own Ernie (Wenxin) model remains a formidable powerhouse.
Letβs look at how users actually search in China today β and what this nuanced shift from links to reasoning means for your 2026 SEO strategy.
In many marketing circles, a specific narrative has been repeated so often it has become an article of faith: βTraditional search on Baidu is dead β and has been for years. Websites are obsolete. In China, everything is WeChat.β
This narrative is almost always driven by service providers whose business models depend on WeChat, Douyin, Weibo, or Xiaohongshu marketing. To them, the βopen webβ is a ghost town. But is this actually true?
Thereβs a grain of truth in the hype. The Chinese web is a mobile-first multiverse. Users access and explore the web through super-apps:
In this environment, social media isnβt just a channel. Itβs the air people breathe. For B2C brands, social ads can β and often do β exceed website-driven sales by orders of magnitude.
For those of us working with B2B companies that need real visibility in China, the βBaidu is deadβ narrative falls apart the moment you look at the analytics. Clients who invest in Baidu SEO and Baidu search engine advertising (SEA) continue to see a steady, high-volume stream of real human visitors β in many cases generating more qualified leads and higher conversion rates than their counterparts in the UK or Germany.
Why? Because when a B2B procurement officer or a technical engineer needs a specific industrial solution, they donβt just scroll until they find it on a social media feed. They search for a verified, authoritative source. In other words, they look for a website.
Is the social media narrative a lie? No. But ignoring a channel that β at least in the B2B sector β remains more effective in China than in many search-first Western countries is simply bad business. The goal isnβt to choose one over the other; itβs to understand how they coexist.Β
And just as weβve settled the debate between web marketing versus app marketing, a new challenger β the LLM β has entered the battleground to disrupt both.
To a Google-first marketer, the idea of searching anywhere but a search engine feels like a detour. In China, itβs the standard operating procedure. Users donβt just βGoogle it.β Instead, they choose the tool that fits the intent.
As a Baidu specialist living and working in China, I see this daily. While I might be optimizing a B2B landing page for Baidu, my wife is likely on Pinduoduo, finding household deals, or on Xiaohongshu, planning our next weekend trip.Β
The βeverything appβ exists, but the βright appβ always wins the click.
Despite the βdeath of the webβ narrative, traditional web search remains the primary battleground for B2B and high-authority research. If a user needs a technical whitepaper, a government regulation, or a verified corporate headquarters, they go here.
This is where search becomes discovery. Users donβt always have a keyword, but they do have an interest. In this context, SEO is about social indexing: ensuring your brand appears when a user looks for proof and not just products.
In the West, users often start on Google and end on Amazon. In China, the journey frequently starts and ends in the same place.
This is the newest layer of the map β the βthinkingβ search. These AI models donβt just produce lists of links. They are assistants that synthesize the web for the user.
For the physical world, search is about βnowβ and βnear me.β
Baidu SEO isnβt dead; your website just isnβt the sole focus of web search anymore.
If youβre a Google-centric SEO, there are some notable differences when working with Baidu:
In this environment, ranking a corporate homepage for a high-volume keyword is a foolβs errand. Instead, weβve mastered the art of the βlong-tail dragon.β
In the West, we talk about the long tail of search as a small, niche opportunity. In China, with its linguistic complexity and massive user base, the long tail is a winding, multi-layered beast that is often more lucrative than the head terms.Β
And we donβt just rank a website; we piggyback on the authority of the platforms Baidu already trusts. If you canβt beat Baidu Baike, you become the verified entry inside it.
Interestingly, it is these very platforms β the ones weβve been using to bypass the βblue link problemβ β that have now become the primary focus of the next generation of search.
In China, there is no brand loyalty toward particular AI models, as Westerners have toward platforms like ChatGPT and Claude.
Chinese users are restless. They donβt stick with one model. They switch β sometimes because a hyped model hits a downtime wall, and sometimes because a new model claims the throne of the βmost intelligent AI.β In this cycle of competition and user preference, an SEO canβt just focus on the βbig sources.β
If youβre following the Western playbook, youβre likely chasing Reddit, Quora, and YouTube as your βsources of truthβ for AI training. But in China, that focus is dangerously narrow. To win the reasoning battle, you must understand the investor-source connection.
If you want to train AIs to see your brand in China, you have to look at the platforms they were built on:
Weβre no longer just optimizing for a search engine. Weβre optimizing for a data pedigree.
If your client is B2B, you might still prioritize the Baidu ecosystem. But if your client is in ecommerce and you arenβt feeding the Qwen engine via Alibabaβs ecosystem, or the Doubao engine via Baike.com, youβre limiting your visibility across key AI systems.
If youβre waiting for a βDeepSeek optimization checklistβ or a βDoubao ranking guide,β youβve already missed the point. Because users switch models as often as they switch takeout apps, you canβt afford to be βBaidu-onlyβ or βWeChat-centric.β
Here is whatβs actually working for SEO in China in 2026:
While SEO in the West is focused on generative engine optimization (GEO), in China, itβs all about fact density.Β
As we brainstormed earlier, every AI has a βparentβ with a preferred data source. But since models are now open-sourcing their weights and distilling each otherβs intelligence, your brand must achieve entity consistency.
Chinese AI models have a well-observed recency bias β they prefer sources that are roughly 25% fresher than traditional search results.
Weβve come a long way from the shaky steps of the 2025 CCTV Gala.
In 2026, Chinaβs search ecosystem is no longer a directory of links. Itβs a living, reasoning entity.
For the Western search specialist, the lesson is clear: The βsuper appβ was a distraction. The real story is the fragmentation of intent.
My wife still goes to Pinduoduo for the best price. My colleagues still go to Bing for technical sanctuary. And the βI, Robotβ enthusiasts of 2026 are using a rotating door of LLMs to find their answers.
As a Baidu specialist, my job has shifted from βranking a websiteβ to βarchitecting an entity.β We no longer build for the bot; we build for the source. If youβre the undeniable source of truth across the platforms that shape Chinaβs information ecosystem, it doesnβt matter which model delivers the answer.
Youβll be the one theyβre cheering for.
be quietβs Dark Rock 6 series CPU coolers are launching this month be quiet has officially announced their new Dark Rock 6 and Dark Rock 6 Pro CPU coolers, both of which are launching this month on May 19th. These coolers feature all-new designs, promising significantly improved CPU cooling performance compared to their predecessors. This [β¦]
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Apple has once again raised the possibility of making its chips at Fabs besides TSMC, as it is in early talks with Intel and Samsung. Intel & Samsung Emerge As Potential Fix To Apple's Supply Constraints Affecting Its Consumer Chips Bloomberg has just dropped some big news surrounding Apple, which is in early talks with Intel and Apple to secure additional supply for its consumer lineup. The report highlights that Apple has held "exploratory" discussions with the two semiconductor firms as it aims to diversify the production of its chips. The company has so far relied upon TSMC for its [β¦]
Read full article at https://wccftech.com/apple-eyes-intel-samsung-fabs-in-early-stage-talks-a-rare-crack-decade-long-tsmc-loyalty/

Being fast can be a problem, well, you haven't heard that one right? Apex Legends developers just fixed an issue with physics calculations on AMD Ryzen X3D CPUs caused by their high single-threaded performance. Apex Legends Patch Addresses Physics Calculations-Based Stutters Encountered On CPUs With Fast Single-Threaded Performance, Such as AMD's Ryzen X3D Apex Legends rolled out its latest patch, "Overclocked," which includes a range of changes, including performance improvements on the PC platform. One of the changes is unexpected, which calls out the fast single-threaded performance of AMD Ryzen X3D and a similarly performant CPU as the primary cause [β¦]
Read full article at https://wccftech.com/amd-ryzen-x3d-cpus-so-fast-they-broke-apex-legends-physics/

Around five months ago, CI Games CEO Marek Tyminski signaled a shift in tone for Lords of the Fallen 2 away from "political correctness" and toward, among other things, skimpy female armor designs. Now, that's been confirmed with the official reveal of five concept art pieces that leave little to imagination: the female characters will feature much more revealing armor sets in the upcoming Soulslike sequel. The studio claimed to be responding to players' feedback: You wanted fierce. You wanted beautiful. You wanted provocative. The reveal also took place in partnership with content creator TheBackgroundNPC, who focuses specifically on female [β¦]
Read full article at https://wccftech.com/ci-games-lords-of-the-fallen-2-skimpy-armor-female-characters/

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Essay Grader AI helps teachers grade essays quickly, delivering specific feedback, error detection, and rubric-aligned scores. It supports custom rubrics, bulk uploads, and class organization, plus built-in summarization and AI content detection. Companion tools generate questions, lesson plans, and classroom materials to streamline daily work.
AI pager that investigates incidents before wakeups
Google says a new wave of users are learning that Search can handle more complex questions, changing how they search.
The post Google Says A New Wave Of AI Users Is Transforming Search appeared first on Search Engine Journal.
Google says AI's ability to surface common information makes human experience and subjective insights more valuable for content.
The post Google: AI Makes Human Experience More Important For Content appeared first on Search Engine Journal.


In February 2024, Gartner predicted that traditional search volume would drop 25% by 2026. It didnβt. Googleβs search revenue accelerated to 17% year-over-year growth, crossing $63 billion in Q4 2025 alone. But clicks per search are falling while query volume explodes. The pie got bigger. The slices got redistributed. And most search teams are still optimizing for the old pie.
Are you still poring over spreadsheets full of organic keyword rankings like itβs 2003? Your customers donβt care where theyβre getting their answers. Theyβre just looking for answers they can trust. And theyβre finding those answers across more surfaces than your rank tracker knows exist.
If your organic strategy lives in one spreadsheet, your paid strategy in another, and your AI search strategy in a third (or nowhere), youβre optimizing for a search experience that no longer exists.
Google βbest tax softwareβ right now. Go ahead, Iβll wait.
Count the surfaces on that single results page. Sponsored ads across the top. An AI Overview with its own recommendations and citations. A Reddit thread (because Google knows people trust other people more than brands). Organic listings from CNET, H&R Block, and others. A video carousel. Discussion forum links. A product carousel with images and prices. More sponsored results at the bottom. And a βPeople also search forβ section feeding the next query.
That is one search. One keyword. And nobody owns it.
Now think about how different people actually use that page. I scroll past everything to find the Reddit thread, because I want to know what real humans recommend. My dad clicks the first sponsored ad because he doesnβt understand paid advertising (sorry, dad!) and just trusts Google to surface the best option up top. Someone else reads the AI Overview, gets a good-enough answer, and never clicks anything at all. A fourth person watches the Smart Family Money video and leaves.
Same query. Four completely different paths. Four different βwinners.β And if youβre the brand celebrating a number-three organic ranking on this page, you may be missing that most of the real estate, and most of the user attention, lives somewhere other than those blue links.
This is what I mean by the total SERP experience. Your customer sees the whole page. You should too.
AI Overviews now appear on roughly 25% to 48% of Google queries, depending on the study. ChatGPT processes 2.5 billion prompts a day. Perplexity is up 239% year over year. These are real numbers from real platforms where real buyers are forming opinions about your brand, or not forming opinions because youβre nowhere to be found.
But before the panic sets in: AI tools still account for less than 1% of U.S. web traffic. Google sends 300x more referral traffic than all AI platforms combined. The sky isnβt falling, but the ground is shifting.
The shift that matters most is behavioral. Wynterβs 2026 research found 68% of B2B buyers now start their research in AI tools before they ever open Google. They ask ChatGPT to narrow the field, then Google the shortlist to validate. AI evaluates, Google verifies, and your website converts. If your brand is missing from that first AI conversation, youβre not even on the shortlist when the Googling starts.
A Search Engine Land analysis of 25 million organic impressions across 42 clients found organic CTR drops 61% when an AI Overview appears. In addition, paid CTR drops 68%.
EVERYBODY FREAK OUT!!! Right? Not quite.
Hereβs what the panicked LinkedIn posts leave out: brands cited inside AI Overviews see 35% more organic clicks and 91% more paid clicks. Being in the AI Overview doesnβt cannibalize your traffic. If anything, it amplifies it. The AI Overview functions like a trust signal, a stamp of βthis brand is relevant to your questionβ that makes people more likely to click your listing below.
The real twist, though, is that ranking well in organic doesnβt guarantee you show up in AI. Tom Capperβs research at Moz found 88% of AI Mode citations are NOT in the organic SERP for the same query. Organic and AI are pulling from different source pools. You can be number one in Google and completely invisible in ChatGPTβs answer to the same question.
And the small amount of traffic that does come from AI? It converts at more than quadruple the rate of organic, according to Semrush. These visitors arrive more informed, more intentional, and more ready to buy. Which makes sense, because theyβve already done the evaluation inside the AI interface. By the time they click, theyβre just confirming and often converting.
Most companies have SEO reporting to content, PPC reporting to demand gen, and AI search reporting to nobody. BrightEdge found 54% of organizations have handed AI search to the SEO team alone, which is a little like asking your plumber to also handle the electrical work because, hey, itβs all in the same house.
The waste from this setup is real. One branded Performance Max campaign paid roughly $500,000 for clicks that would have come through organic anyway. Googleβs own research confirms: when you rank number one organically, only half your paid clicks are truly incremental. The other half? You bought what you already owned.
Meanwhile, McKinsey found that a brandβs own website makes up only 5% to 10% of the sources AI references. AI pulls from Reddit, review sites, affiliates, publishers, and user-generated content. You can have the best SEO program in your category and be completely absent from AI search results because AI is reading what other people say about you, not what you say about yourself.
The unified approach works. Level cut acquisition costs 18% and boosted SEO leads 22% by merging paid and organic for a B2B SaaS client. And we can use tools in our Level Intelligence Suite to connect performance signals across search surfaces. The channels compound each other. Treating them as separate line items on separate P&Ls leaves that compounding on the table.
You donβt need a six-month transformation to start seeing the gaps. Three lenses, applied to your top 20 keywords, will show you where the opportunities and the waste are hiding.
Lens 1: Where do you actually appear? Check your organic rankings, paid ad coverage, and AI visibility across ChatGPT, Perplexity, and Gemini for the same set of keywords. Semrush has a free AI visibility checker. Most teams have never looked at all three surfaces side by side, and the gaps are almost always larger than they expect.
Lens 2: Where are you paying for traffic you already own? Cross-reference your number-one organic rankings with active PPC bids on the same terms. Start with branded keywords, where the waste is usually largest and the test is cleanest. If you rank first and youβre still bidding, youβre probably buying your own clicks.
Lens 3: Where is AI ignoring you? Compare your organic rankings with your AI citation presence. Only 11% of domains get cited by both ChatGPT and Perplexity, so strength in one guarantees nothing in the other. And check your robots.txt while youβre at it. If youβre blocking AI crawlers like OAI-SearchBot or PerplexityBot, youβve pulled yourself off those shelves entirely.
This diagnostic shows you the full picture. What to do about it, the actual unification framework, is what Iβm laying out at SMX Advanced.
Generative Engine Optimization (GEO) keyword difficulty currently averages 15 to 20, compared to 45 to 60 for equivalent SEO terms. That gap will close. Once an LLM selects a trusted source, it reinforces that choice across related prompts. The brands getting cited now are training the models to keep citing them. Winner-takes-most dynamics are being baked into the weights.
Many companies are seeing search traffic drop significantly. Those same brands, the ones that get it right, are seeing the inverse when it comes to business growth. Rankings and revenue have decoupled. The brands that win from here are the ones that stopped measuring channels in isolation and started measuring the search experience their customers actually have.
Weβre presenting a search unification framework at SMX Advanced in our session, βOrganic, paid, and AI search: one strategy to rule them all.β If you want to stop optimizing for three separate channels and start compounding performance across every search surface, join us for the session or come find the Level team at Booth #9.
Remember: The search experience that existed in 2023 is gone. The strategy should be too.
Halo Studios plans to remake the original Halo Trilogy According to a report from Rebs Gaming, Halo Studios is planning to create remakes of the original Halo Trilogy. Remakes of Halo 2 and Halo 3 are reportedly in early development, and both projects will continue regardless of the performance of Halo: Campaign Evolved. Halo: Campaign [β¦]
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Team Group expands its Elite and Elite PLUS DDR5 range with new DDR5-8000 kits Team Group has officially released new JEDEC standard DDR5-8000 memory modules for its Elite and Elite PLUS product ranges. These modules can deliver 8000 MT/s speeds at 1.1V with CL56-56-56-128 timings, and support both AMD Ryzen and Intel Core Ultra systems. [β¦]
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The CPU market looks very different from six months ago. Intel's back in the conversation, AMD's X3D chips still rule gaming, and there's genuine value at every price point.


Final Fantasy VII Remake Part 3 has yet to be officially announced, but recent statements from director Naoki Hamaguchi suggest theΒ game's reveal and release aren't too far off. According to a high-effort leak posted onΒ ResetEra, the third and final entry in the remake trilogy will be revealed during this year'sΒ Summer Game FestΒ opening showcase on June 5, but many of the detailsΒ sound too good to be true. "I am posting this on behalf of somebody else I know to protect their identity who works somewhere in the chain between Square Enix marketing and Summer Game Fest event staff. The level of [β¦]
Read full article at https://wccftech.com/final-fantasy-vii-remake-part-3-detailed-leak-too-good-true/

The memory shortage faced by Apple can be avoided as the company can purchase DRAM quantities in bulk for a multitude of products, but one area where the Cupertino firm may continue to struggle is chip supply. As TSMC is operating at its maximum capacityΒ by fulfilling 3nm silicon orders for AI customers, itβs adversely affecting iPhone 17 Pro Max shipments to the point that a customer who has been searching around for a flagship unit is unable to find one in a U.S. state. Low A19 Pro chip supply could also affect the second-generation MacBook Neo shipments, as Apple will [β¦]
Read full article at https://wccftech.com/iphone-17-pro-max-shipments-affected-due-to-low-chip-supply/

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To address the challenges of water quality and availability in the Scheldt Basin, a vital river network flowing through Belgium, Google is supporting Agua Segura and Agrβ¦ The next Call of Duty game isnβt coming to PlayStation 4 Over the weekend, rumours began circulating that the next Call of Duty game is being developed for last-generation consoles. This means that the game was being developed with PlayStation 4 and Xbox One in mind. In response to these rumours, Activision has used their [β¦]
The post Itβs official; no PS4 β Call of Duty is abandoning last-gen appeared first on OC3D.
DDR6 memory is officially in development All major memory manufacturers, including Samsung, SK Hynix, and Micron, have reportedly started developing DDR6 memory. Alongside substrate manufacturers, βjoint developmentβ for the standard has reportedly begun. According to The Elec, this happens βmore than two years before product launchβ, placing DDR6βs launch in a 2028-2029 timeframe. JEDEC has [β¦]
The post DDR6 memory is officially in development β 2028-2029 launch planned appeared first on OC3D.


This morning, Finnish developer Remedy Entertainment posted its Q1 2026 financial report, which revealed, among other things, a new sales milestone for CONTROL: 6 million units sold. The year's first quarter was profitable but slightly down year over year, with revenue falling 1.9% to β¬13.1 million, though EBITDA (earnings before interest, taxes, depreciation, and amortization) actually improved to β¬2.9 million from β¬2.6 million. The more notable shift is in the revenue mix:Β game sales and royalties nearly doubledΒ to β¬5.0 million (from β¬2.6 million in Q1 2025), while development fees fell from β¬10.7 million to β¬8.2 million as CONTROL Resonant nears completion. [β¦]
Read full article at https://wccftech.com/remedy-ceo-control-resonant-franchise-6-million-units/

From screen to polished video in minutes
Automated cancer diagnostics
Social media security for brand accounts
AI clinical trial matching for patients
Smartphone eye tests for refractive errors
Native CAD autocomplete β 2.5x faster, 4x fewer clicks
Foundation model of the Immune System
Microbiome test kits with AI nutrition guidance
School cafeteria ordering and payments platform
AI ultrasound analysis for echo reports
AI analytics agent for hospitality revenue teams
Global Neobank for digital businesses
Stop guessing where your money goes β Hutsy tells you
The perception layer for Marketers and their AIs
App-free AR publishing for brand campaigns
Agentic infrastructure powering video search & monetization.
Turns business updates into training content
WhatsApp expense invoicing for company teams
Enterprise user research platform for product teams
AI agents for data center cooling and power
Turns PDF P&IDs into queryable engineering data
OpenAI appears to be fast-tracking its plans for an AI-enabled smartphone, partially in a bid to bolster its IPO that might land as soon as this year. And, in its urgency, OpenAI appears to be settling on a customized version of MediaTek's upcoming flagship Dimensity 9600 chip as the SoC of choice for the planned smartphone. OpenAI's smartphone will use a customized version of the Dimensity 9600 chip, replete with a dual-NPU architecture and enhanced HDR for real-world visual sensing The famous analyst Ming-Chi Kuo revealed towards the end of April that OpenAI had relegated its planned range of consumer [β¦]
Read full article at https://wccftech.com/openai-picks-mediatek-over-qualcomm-for-its-first-smartphone-customizing-the-dimensity-9600-with-a-dual-npu-architecture-to-challenge-the-iphone/

TwainGPT is an AI humanizer that transforms AI-generated text into natural, undetectable writing using advanced algorithms. Simply paste any draft and TwainGPT rewrites your content to sound genuinely human, bypassing leading detectors like GPTZero, ZeroGPT, Copyleaks, Turnitin, QuillBot, and Grammarly. The platform also includes a built-in AI detector to analyze content from models like ChatGPT and Gemini before publishing. With support for 100+ languages and a smooth mobile experience, TwainGPT is built for anyone who needs human writing that bypasses AI detectors.
Incident Index turns raw incident notes into structured RCAs and stakeholder-ready reports in minutes. Paste a plain-language description or run a guided Conduct session, and it generates timelines, root causes, 5 Whys, and fishbone diagrams aligned to your team's standards.
Export to PDF, Word, or Markdown, collaborate with version history, and keep a searchable knowledge base of past incidents to spot patterns and reuse learnings.
The AI-powered calendar that plans your day for you.
Your #1 new customer is an AI agent. Are they getting an A?
Learn and master breathwork with guided breathing exercises
A quiet pace instrument for your Mac
Turn your voice and screen into shareable videos instantly.
AI design engineer. Design & ship real UI.
Parallel agents, diff reviewer, and multi-model comparisons
Production browser automation, built and maintained by AI
AI agents built directly into Unity workflows
Steam Input, now in controller form
macOS agent that turns prompts into automated clicks
A local AI coding assistant to delegate tasks to AI agents
Write and publish posts on LinkedIn & X
Protect your screen in public with one shortcut
The antidote to fluffy specs.
The context layer for production-grade AI agent
Verify and correct AI outputs before users see them
Mixed reality tabletop sandbox for XR on Quest & Vision Pro
Eye-tracking assessments for brain health
Is your AI spend actually paying off? Prove ROI
Spot market API for cheaper LLM inference
Automating business capital access with AI agents
AI that runs equipment rental businesses
Agentic AI for frontline hiring and onboarding
Personal memory layer that works across AI apps
Identity governance for apps without SCIM
Talent OS that predicts performance, not just parses resumes
WhatsApp collections and transfers for independents
Business spend management with cards and approvals
AI agents for accounting firms
Enabling creators to train their communities at scale.
Vision-first QA testing across web and mobile
Privacy-first KYC and KYB verification API
AI study copilot for college coursework
Autonomous SEO and lead generation for B2B teams
AI space insights from satellite data
Real-time electrolyte monitoring from existing wearables
AI studio for image and video creation
Truck parking reservations for commercial drivers
AI revenue workflows for enterprise GTM teams
Extract, document and modernize legacy mainframe systems
B2B client and supplier verification platform
Cash rewards app for saving and paying off debt
Home-buying software for first-time buyers
AI orchestration for satellite data networks
The Infrastructure Behind AI Agencies | White-Label Platform
Real-time AI answers during sales calls
AI CTO for codebases
Procurement marketplace for hotel purchasing teams
Gamified mental health support for kids
TSMC is turning into a victim of its own success as the world's preferred chip foundry, leaving its heretofore prized customers such as Apple in a bind of sorts as they suddenly find themselves crowded out by AI hyperscalers. In its frustration, Apple is now reportedly exploring the possibility of dividing up its silicon load between Samsung, Intel, and TSMC rather than remaining largely TSMC-exclusive. Apple is looking for contingencies by tentatively probing Intel and Samsung as additional vectors for manufacturing its custom chips According to Bloomberg's Mark Gurman, Apple has already held "early-stage talks" with Intel for using its [β¦]
Read full article at https://wccftech.com/apple-quietly-courts-intel-and-samsung-for-its-most-critical-chips-as-tsmcs-advanced-nodes-remain-choked-under-ai-demand/

Samsung might have a lot of faults, but a lack of innovation is certainly not among those. As a case in point, look no further than the recent SID exhibition in the United States, where Samsung just unveiled two revolutionary display technologies, unlocking a veritable suite of biomarker-led applications in the process. Samsung flexes its innovative muscle with the "Flex Chroma Pixel" and "Sensor OLED" The famous tipster Ice Universe has just detailed two new display technologies that Samsung recently showcased at the SID exhibition. Samsung's "Flex Chroma Pixel" display combines next-gen emissive materials, such as phosphorescent sensitized fluorescence (PSF), [β¦]
Read full article at https://wccftech.com/samsung-flaunts-a-smartphone-display-that-can-measure-blood-pressure-with-a-single-touch/

Online Whiteboard lets you create and share a real-time canvas with one click. Open a board in your browser, send the link, and collaborate instantly across devices with no sign-up or installs. Teachers, remote teams, and creators sketch ideas, plan projects, and diagram concepts on an infinite canvas that loads fast and stays simple, so you can focus on thinking together.
GPT Image 2 lets teams create marketing visuals, product imagery, realistic screenshots, and editable assets with high prompt fidelity and readable text. You can start from a prompt or reference, then refine layout, style, and subject with targeted edits that preserve the brief. Use it to produce campaign key visuals, posters, explainers, commerce imagery, and storyboards, then carry the approved still into video workflows.
CreatorSpark is an AI writing tool for educational YouTube creators that learns your voice, beliefs, and point of viewβnot just how you sound. Instead of just copying your word choices, it learns what you actually thinkβyour beliefs, your take on your niche, and the positions youβd push back on. You tell it once and it applies that to everything it helps you write. With training from your best content, it helps creators reach 80-90% accuracy instead of the industry standard 60%. Built by a YouTube creator and 10-year copywriter who built her own solution out of frustration.
Nyata AI is Bristolβs AI companion that helps residents find free meals, hot showers, local services, and community events through a friendly chat. It connects you with housing and mental health support, job centres, and when needed, directs you to trained professionals for personalised guidance.
Built by locals and registered with the UK ICO, Nyata AI focuses on accessible, accurate, and privacy-conscious support for people navigating community resources.
Google's Liz Reid unpacks consequential changes to user search behavior that also impact how to approach SEO.
The post Google On Keyword Fragmentation And User Needs In AI Search appeared first on Search Engine Journal.
We are adding $10 million to the AI Opportunity Fund to help students, educators and workers learn essential AI skills. 
The move comes in response to proposed state regulatory measures designed to protect minors from accessing harmful content within the companyβs apps.

Topic summaries are determined by artificial intelligence, with the appβs team providing oversight to avoid violating community guidelines.
The feature will allow users to generate audio samples that replicate their own voices, offering new capabilities in digital audio.
The 13-page publication outlines key product trends in the app and provides an overview of related subreddit communities.Β
A new partnership with Vistar Media will allow advertisers to bring their campaigns to more than a million placements beyond the app.

The feature is rolling out for accounts that post artificial intelligence-generated content, and the labels will appear on profiles and content.
The platform will allow creators to replace copyrighted songs with royalty-free instrumental clips, while also using conversation context to filter video comments.
As rumors suggest that Google is interested in using Intel for its next-generation tensor processing unit (TPU) chips, well known analyst Ming-Chi Kuo has shared his thoughts on the matter. The analyst believes that yields will be a key factor in Google's decision, especially since the technology giant has started to focus on cost savings for the Humufish next-generation TPU's design. Intel's Yields With The EMIB-T Packaging Technology Will Play Key Role In Google's TPU Orders, Says Analyst Intel's EMIB-T packaging technology, short for Embedded Multi-die Interconnect Bridge Through Silicon Vias (EMIB-T) relies on using a 'bridge' that is embedded [β¦]
Read full article at https://wccftech.com/analyst-warns-googles-intel-tpu-bet-hinges-on-a-brutal-yield-jump-from-90-to-98/

Nintendo fans and Nintendo Switch 2 owners have a lot to look forward to in 2027-2028, if interviewer Kiwi Talkz is to be believed. Reece 'Kiwi Talkz' Reilly, who you may recognize as a YouTuber who regularly interviews game developers and someone who has occasionally leaked accurate information ahead of its official reveal, has shared his latest tidbit that's stirred speculation, and it points to more Metroid, Zelda, and Smash Bros. to look forward to. What 'more' for any of those franchises means is less clear. There's the Legend of Zelda movie that's coming next year, which Reilly mentions, but [β¦]
Read full article at https://wccftech.com/nintendo-switch-2-smash-bros-zelda-metroid-coming-2027-2028-rumor/

Birthday Invitation AI is an all-in-one platform for creating beautiful birthday invitations and managing RSVPs. It offers over 500 curated theme templates like Peppa Pig, Paw Patrol, Unicorn, Minecraft, and more, or you can describe a custom theme in any language. The AI creates personalized, print-ready invitations in minutes. Features include QR code RSVP tracking, real-time guest management, and automatic email reminders. It supports birthdays for all ages, milestone birthdays, 8 languages, and offers a free RSVP form for custom designs.
PictaBase is a lightweight digital asset manager that helps field teams, agencies, and inspectors turn scattered photo libraries into searchable business assets. Organize images with custom tags and industry templates, then find shots in seconds with chip-based filters and AI-assisted suggestions you control. Upload directly from the browser to your S3 for zero-knowledge privacy, keep portable sidecar metadata, annotate assets for clear feedback, and deliver branded client galleries. Enjoy fast browsing across huge libraries and simple pricing starting with a one-time lifetime license.
Google's Liz Reid says AI Mode is suited to complex follow-up queries, while browsy searches may still benefit from the full search results
The post Google: Browsy Queries May Favor Full SERPs, Not AI appeared first on Search Engine Journal.

U.S. carriers often have a truckload of salivating deals for customers to upgrade to the latest-generation flagships at a sizable discount, just as long as they satisfy certain requirements. On this occasion, one subscriber was on his way to becoming the proud owner of a Galaxy S26 Ultra, and seeing as how Verizon had one that wasnβt just $600 off, but it was also rewarding an additional line, not to mention an upgraded plan at no additional cost, the offer was a steal. Unfortunately, these deals are only enticing if Verizon can honor them, and due to serious negligence, the [β¦]
Read full article at https://wccftech.com/galaxy-s26-ultra-deal-600-off-and-more-missed-by-customer-due-to-verizon-mistake/

AuthorOS is an AI-powered publishing studio that takes you from a half-formed book idea to a finished, Amazon-ready title. It guides you through four phases (Plan, Write, Prepare, Publish) across 11 stages, capturing your knowledge and voice, building an outline, drafting chapters that sound like you, and producing the cover, listing, and export files Amazon needs.
It's built for first-time authors who have a book in them but don't have a year, a ghostwriter, or a publisher. You bring the idea and the voice. AuthorOS handles the rest, and your name is the only one on the cover.
During National Small Business Week, jumpstart your growth with tools like Gemini, Workspace and Ads β plus, resources and exclusive offers from Google.
Event-Driven Webhooks are a push-based notification system that eliminates the need for inefficient polling. Bazzite 44 is a big one. Built on Fedora 44, this gaming-focused Linux distro lands with KDE Plasma 6.6 and Gnome 50, the OGC kernel 6.19, and Mesa 26.0.5 for better GPU support across Vulkan and OpenGL titles. The release also strengthens security with signed ISOs and updates bundled tools.
Video game studios don't often comment on rumours, but when they do they offer welcome points of clarity for players. Today, Activision chose to comment on a rumour that ran rampant yesterday and most of today, which was that the next Call of Duty game (which is largely reported to be Call of Duty: Modern Warfare 4) is being made for last-gen consoles, specifically PS4. The official X (formerly Twitter) account for the shooter franchise cleared the air on that, and seemingly confirmed one of the biggest questions surrounding 2026's Call of Duty entry. "Not sure where this one started, [β¦]
Read full article at https://wccftech.com/call-of-duty-no-longer-ps4-xbox-one/

NVIDIA's Open-Source "Nemotron 3 Super" AI model has topped the EnterpriseOps-Gym leaderboard, showcasing NVIDIA's software prowess. NVIDIA Is Topping Both AI Hardware and Software Leaderboards With Its Open-Source Nemotron 3 Super, Leading The Pack In March this year, NVIDIA introduced its Neomtron 3 Super, a 120B AI model with 12B active parameters. Based on a hybrid MoE architecture, the model is designed to deliver a 5x throughput versus the previous Nemotron Super model, and tackles large context with a native 1M-token context windows that gives agents long-term memory for aligned, high accuracy reasoning. Some of the highlights of NVIDIA's Nemotron [β¦]
Read full article at https://wccftech.com/nvidia-nemotron-3-super-tops-the-open-source-ai-model-chart-beating-deepseek-gpt-oss/

Grand Theft Auto VI will be the biggest video game launch, and perhaps the biggest launch of any single piece of entertainment in history, when it arrives. Whether that's on November 19, 2026, as is the current plan, or on a different date due to an unforeseen delay, that statement is practically set in stone, and that'll happen despite GTA 6 only arriving on PlayStation 5 and Xbox Series X/S consoles to start, and not on PC. Why it won't arrive on PC is a topic of much debate, with speculation being that Rockstar and Take-Two would rather let players [β¦]
Read full article at https://wccftech.com/take-two-boss-why-gta-6-comes-to-consoles-first-pc-second/

In a recent interview with Mundfish founder and CEO Robert Bagratuni about the Atomic Heart series, I inquired about the studio's opinion on NVIDIA DLSS 5, the surprise announcement at GDC 2026 that proved highly controversial among developers and modders: some people love it, others hate it. Atomic Heart already supports NVIDIA DLSS technologies like Super Resolution and Frame Generation. Is Mundfish considering DLSS 5? Well, Bagratuni called it "highly promising", though he added that the developers are following its progress and will evaluate its potential addition in future releases. In short, he hasn't committed yet. DLSS 5 is aΒ very [β¦]
Read full article at https://wccftech.com/mundfish-dlss-5-ai-tools-atomic-heart-development/

Convoe unifies team chat, task tracking, and calendar in one place. Its built-in AI, Kai, reads conversations to extract actions, deadlines, assignments, and events, then syncs them to boards and calendars so nothing slips. Use channels, threads, and DMs naturally; Convoe turns talk into tracked work with zero manual entry and notifies the right people. It replaces separate chat, task, calendar, and AI tools to keep teams aligned at lower cost.
DecidexAI is an AI data analyst for SaaS teams that monitors Stripe and GA4 metrics 24/7, detects anomalies, and sends real-time alerts via Slack or email. It delivers daily briefings, AI-written weekly executive reports, and answers natural-language questions while providing interactive dashboards with 68 prebuilt metrics. It also predicts churn with customer risk scores and action plans, plus cohort, MRR, and retention analyses, helping you catch revenue dips early and make faster decisions.

The flagship Bartlett Lake chip can be a bit faster than the flagship Raptor Lake Refresh CPU, but this isn't the case in ever game. Bartlett Lake 12-P-Core Chip Delivers 5-9% Higher Performance in Games Than 24-Core Intel Core i9 14900K Intel's Bartlett Lake is an interesting CPU lineup, despite not being meant for the consumer segment. We have previously seen some users making efforts in running the flagship Bartlett Lake chip on a regular LGA 1700 motherboard, as technically, the Bartlett Lake CPUs are compatible with the LGA 1700 socket. Since no official BIOS is available from Intel, mainstream [β¦]
Read full article at https://wccftech.com/intel-core-9-273pqe-is-reportedly-up-to-9-faster-in-gaming-vs-core-i9-14900k/

Samsung is not expected to fundamentally alter the prevailing mold when it launches the Galaxy Z Flip 8 later this summer. Even so, the South Korean tech behemoth is looking at a few iterative improvements that are likely to improve the device's ergonomics and aesthetics. Samsung Galaxy Z Flip 8 will weigh 8 grams less than its Flip 7 counterpart, and come equipped with a new hinge and a crease-free display South Korea-based Yeux1122 has now published a new blog post detailing that the Galaxy Z Flip 8 will be slimmer than its Flip 7 counterpart by around 0.5mm, courtesy [β¦]
Read full article at https://wccftech.com/samsung-galaxy-z-flip-8-will-be-just-a-smidge-lighter-than-the-flip-7-while-managing-to-kill-the-display-crease/

Valve's latest Steam Controller, and the first of its previously announced new hardware products, has officially launched and is available for players to order directly through Steam. If you get through to one, that is, as the controller launched and promptly sold out within 30 minutes. Any new popular product release in video games or in any market today is a race to see whose connection worked faster or who could type in their credit card details faster, and the Steam Controller was no different. The new gamepad shot directly to the top of Steam's best-selling charts, and as quickly [β¦]
Read full article at https://wccftech.com/steam-controller-launch-sold-out-in-minutes/

PDFGate is a developer-centric platform to generate PDFs, collect secure digital signatures, and manage document workflows through a clean, predictable API. Create and send signature requests in minutes, embed signing in your app, and track status in real time from a simple dashboard. It offers fast performance, 99.9% uptime targets, and GDPR-compliant processing on EU servers. Teams get clear docs, quick integration, and responsive support to automate agreements while keeping control of data privacy.
Here are Googleβs latest AI updates from April 2026 
Automation doesnβt fail on its own β it does exactly what itβs trained to do. The problem is that when Google Ads is fed incomplete, misaligned, or overly broad signals, it can optimize toward the wrong outcome faster than most advertisers realize.
In our second installment of SMX Now, our new monthly series, Ameet Khabra of Hop Skip Media will break down a real account where a 417% jump in conversions turned out to be the wrong kind of success. Sheβll use that case study to explain the four key ways automation drift enters an account: signal drift, query drift, inventory drift, and creative drift.
Youβll leave with a practical framework for diagnosing drift early, understanding where human oversight matters most, and managing automation more deliberately so it works toward real business goals β not just platform-reported wins.
Join us May 6 at noon ET.

Itβs finally here! Valveβs Steam Controller is now available to purchase Itβs official: Valveβs second-generation Steam Controller is now available, giving PC gamers a premium gamepad optimised exclusively for PC gaming. No PS5 DualSense or Xbox controller, just pure PC goodness. In the UK, the Steam Controller is available for Β£85, and Valve currently claims [β¦]
The post Valveβs Steam Controller is available now appeared first on OC3D.
3DMark is a widely used benchmarking tool that measures GPU and CPU performance using a range of graphics tests, including modern ray tracing workloads, making it useful for everything from quick system checks to in-depth performance comparisons across different hardware configurations.
In a galaxy far, far away, the Death Star wasn't just a weapon... it was a monumental achievement of (fictional) engineering and human resource management.
Today, Playground Games confirmed several key Forza Horizon 6 details ahead of the game's May 19 launch. First and foremost, the game is now gold, and preloading is available on Xbox Series S and X and PC via the Xbox app, with Steam preloading coming soon. You'll have to make a lot of space in your storage drive, though: Playground also shared that there will be two graphics modes to pick from on Xbox Series S and X. The former console will allow 1440p at 30 frames per second or 1080p at 60 frames per second, while the latter enables [β¦]
Read full article at https://wccftech.com/forza-horizon-6-soundtrack-babymetal-linkin-park-radio-stations/

As compute requirements grow in AI datacenters, so do the power requirements, which are estimated to reach 17x higher with NVIDIA's Feynman. NVIDIA Feynman Racks Estimated To Feature 17x Higher Power Semi Costs Per Rack Versus Blackwell NVIDIA Feynman GPUs feature several groundbreaking features and will launch in 2028, after Rubin. The company has been working hard to deliver more efficient AI solutions, but as requirements grow, power requirements have increased tremendously. Morgan Stanley Research has published a chart that visualizes the total power semi content of three AI rack solutions from NVIDIA. Starting with the baseline Blackwell or B200, [β¦]
Read full article at https://wccftech.com/nvidia-feynman-gpus-push-power-semi-content-17-times-higher-vs-blackwell/

Bungie's new extraction shooter, Marathon, is still trying to find its footing as the latest triple-A multiplayer shooter on the market. While it's been critically praised by many (myself included), it seemingly hasn't reached the level of commercial success that Bungie or PlayStation Studios hoped it would reach. Despite that, Bungie isn't letting on that it has any concerns about Marathon, and in a recent interview has just re-emphasized how it has long-term plans for the game. As we continue to see multiplayer games launch with plenty of excitement and hullabaloo, only to die within a year for a myriad [β¦]
Read full article at https://wccftech.com/bungie-emphasizes-long-term-commitment-to-marathon/

Navos is an AI strategy advisor for business leaders. It learns how your company works, tracks external forces that affect it, and tells you what changed, what it costs you, the scenarios, and your options. You get a strategy review of where you stand, a weekly brief on what moved in the world and what it means for you, live tracking of your performance against targets, and an advisor you can ask anything that answers from your actual numbers.
Together with the National Archives and others, weβre launching an interactive journey through Americaβs history. 
Google said it has βresolvedβ an issue with logging data within Google Search Console reporting. The logging issue happened between May 13, 2025 through April 27, 2026, about 50 weeks. The resolution did not fix the past data, but it did fix the issue going forward.
What Google said. Here is what Google posted:
βA logging error prevented Search Console from accurately reporting impressions from May 13, 2025 until April 27, 2026. This issue has been resolved. As a result, you may notice a decrease in impressions in the Search Console Performance report. Only impressions and related metrics β CTR and average position β were affected; clicks were not affected by the error, and this issue affected data logging only.β

What was fixed. Just to be clear, Google has not fixed the data from May 13, 2025 through April 27, 2026 but just fixed the data going forward. So keep this in mind when reviewing the data in that date range.
John Mueller from Google confirmed onΒ BlueskyΒ that this is only fixed going forward and the old data will not be fixed.
Why we care. When reviewing your Search Console data, please note that for about 50 weeks, almost a year, the reports may be off and you may see a decrease in impressions, and thus click-through rate and average position data are also impacted.

ASUS is reportedly limiting the supply of its RTX 5070 Ti models to prioritise its higher-profit RTX 5080 models According to a report on Channel Gate, via WCCFTECH, ASUS are reportedly changing its GPU supply strategy. ASUS will reportedly continue to reduce its supply of its RTX 5070 Ti series GPUs to βprimarily focusβ on [β¦]
The post ASUS reportedly shifts supply RTX 5070 Ti to RTX 5080 amid memory shortage appeared first on OC3D.
The mobile DRAM market is showing no sign of retrenchment as the wider industry stares at a ~100 percent quarter-over-quarter (QoQ) price increase in Q2 2026, building upon the 58 percent - 63 percent QoQ price growth for LPDDR5X in Q1. The mobile DRAM market shows no sign of cooling off, as Long-Term Agreements (LTAs) entrench price hikes SemiAnalysis reported just a few days back that LPDDR5 contract prices were recently hovering at around $10/GB after undergoing a 3x increase since Q1 2025. What's more, the firm expected this trend of price hikes to continue well into 2027. While DRAM [β¦]
Read full article at https://wccftech.com/mobile-dram-prices-expected-to-increase-by-100-quarter-over-quarter-as-long-term-agreements-now-getting-signed-at-prices-as-high-as-21-gb/

GTA 6 is poised to set the market on fire when it launches this November. While its price hasn't been determined, there's no doubt the sixth entry in the series byΒ Rockstar GamesΒ will be a smashing success, butΒ Bank of AmericaΒ believes the game should be priced at $80. A high price point that would not only be in Take-Two's self-interest, but that could also save the entire gaming industry, which is perceived as struggling. In an investor note penned by Omar Dessouky, as reported by Seeking Alpha, after attending the iicon Video Game Conference where Take-Two CEO Strauss Zelnick heavily suggested the [β¦]
Read full article at https://wccftech.com/bank-of-america-wants-gta-6-priced-80/

Intel has made two big changes: the appointment of Alex Katouzian from Qualcomm in the Client Computing & AI segment, along with Purskar Randae as CTO. Alex Katouzian Appointed to Lead Intel's Client Computing & Physical AI Group Press Release: Intel Corporation today announced two key leadership appointments to strengthen its core product business and advance the companyβs innovation agenda. Alex Katouzian will join Intel as executive vice president and general manager of the Client Computing and Physical AI Group. In this role, Katouzian will align Intelβs client computing business with emerging physical AI systems that span robotics, autonomous machines, [β¦]
Read full article at https://wccftech.com/intel-appoints-qualcomm-alex-katouzian-to-lead-client-computing-physical-ai-lip-bu-tan-reshapes-top-ranks/

Veteran game developer and Fallout co-creator Tim Cain has only just recently returned to game development full-time, but he's also kept up his personal YouTube channel, as he promised he would when he re-joined Obsidian Entertainment in December 2025. That's where his latest comments on the state of the industry that are catching several eyes come from, as he shares how the rise of social media influencers and "how the internet changed game design." Cain discusses how he's seen the video games industry, and specifically how the industry portrays video games to its audience. Anyone who follows games knows how [β¦]
Read full article at https://wccftech.com/fallout-co-creator-says-players-look-to-influencers-to-be-told-how-to-think/

AMD's immense success for its CPUs and GPUs in the AI segments will be a key driver for the company in the current year & the years ahead. AMD Is Expected To Ship Nearly 1.9 Million AI GPUs By 2027, While It's Share In China Will Be Larger Than NVIDIA's Intel, gaining momentum this quarter, thanks to Agentic AI's reliance on CPUs, has given us a teaser of what to expect from AMD's upcoming earnings. As per UBS, AMD isn't as constrained as Intel in the CPU segment and is anticipated to grow its Server CPU revenue by 80% this [β¦]
Read full article at https://wccftech.com/amd-server-cpu-revenue-to-surge-80-percent-2026-estimated-1-9m-ai-gpus-shipping-by-2027/

Emotions change day to day, and that's okay. Sometimes it's difficult, but it always gets betterβyou just need to be present and watch it shift. Uplume is a digital safe space designed to provide hope and acceptance through an aesthetic daily diary. Instead of tracking productivity, users check in with up to three feelings a day, blending them into beautiful, fluid 2D auras. You can discover emotional patterns, mix feelings, and build a quiet digital universe with your closest friends. It is a gentle reminder that every day has its colors, and your sky is always growing.
PartyInvitation.ai is a free AI-powered party invitation and online RSVP platform. Describe your party theme, and AI generates a unique invitation card with a built-in QR code in under a minute. Guests scan to RSVP instantly with no app or signup needed. It supports over 38 event types from birthdays to holiday parties, with optional gift registry and potluck sign-up. You can print or share invitations digitally, free to start.
The Google for Startups Accelerator offers mentorship and technical support to companies using AI to disrupt the energy sector. 
Thereβs a fundamental battle happening in search right now.
Now AI has walked into the room, kicked over the furniture, eaten half the traffic, and exposed the real problem.
Search still matters. The global economy runs on people looking, comparing, buying, and solving problems through it. But the industry has a marketing problem.
And it shows. Too many SEOs have lost the plot on why people choose, remember, trust, search for, recommend, and buy from brands. AI search is making that ignorance harder to hide. Thatβs why brand authority wins β but not in the way most SEO dashboards suggest.
Before we get to AI, we need to define what topical authority was meant to be. At its best, itβs simple.Β
You publish useful work, create evidence, and share expertise. Others cite you, journalists mention you, communities discuss you, and customers search for you. Over time, your brand becomes associated with the topic.Β Thatβs authority. Itβs also brand building.
The problem is that much of the SEO industry hasnβt sold it that way. In practice, topical authority became a convenient commercial wrapper for content production.
SEO retainers were built around three pillars: technical, content, and links.Β Technical SEO became more specialized. Links were outsourced, packaged, renamed, earned through digital PR, or bought in one way or another.Β
Content, meanwhile, remained the dependable agency engine β easy to sell, scope, and report. Think 4-8 blog posts a month, a topical map, a content hub, a cluster, a pillar page, and another 2,000 words on something nobody asked to read.
This wasnβt always wrong. In the pre-AI search world, content had real labor behind it. A decent article required research, writing, editing, optimization, internal linking, and promotion. That work had value. Good content could rank, attract links, build email lists, support commercial pages, and create some advertising effect through exposure.
Back in the day, we built what were often called power pages β strategic assets designed to earn links, rank, get shared, and pass equity to commercial pages. They had a purpose. They werenβt created just because the spreadsheet had another empty cell.
Topical authority changed that logic. It turned βletβs create something worth citingβ into βletβs cover every possible keyword in the topic map and hope Google mistakes volume for expertise.β That was the original sin.
The SEO toolkit you know, plus the AI visibility data you need.
Authority isnβt created by what you publish on your own site. Itβs created when you become a recognized source.
Former Google engineer Jun Wu described this in terms of βmention informationβ β how search engines analyze natural language, identify topic phrases and sources, cluster related terms, and map associations between sources and topics.Β
In plain English, they can recognize when certain brands, people, domains, and entities are repeatedly mentioned in relation to specific topics.
Today, SEOs call that brand co-occurrence. The idea isnβt new. When authoritative sites, journalists, communities, reviewers, experts, and customers consistently mention your brand in relation to a topic, you become associated with it β not because you published hundreds of near-identical articles, but because the wider web treats you as relevant.
Topical coverage is what you say about yourself. Authority is what the market says about you. AI search makes that difference hard to ignore.
Suppose you want to become an authority in the smash burger industry. You probably donβt, but some topical authority consultant calling themselves a βsemantic SEOβ is likely pitching it to a fast food brand right now.
An SEO version of topical authority would probably begin with a map:
Thereβs nothing inherently wrong with that. If you run a serious smash burger publication, restaurant group, food brand, or equipment business, some of it might be useful. But authority doesnβt come from publishing those pages.
Real authority looks different. You create original data on the fastest-growing smash burger chains. You publish an index of the best-rated smash burger restaurants in the U.S. and U.K. You interview chefs, test meat blends, and produce videos people actually watch.Β
You become a source journalists use when covering the category. Food creators reference your data. Restaurant owners subscribe to your newsletter. People search for your brand plus βsmash burger report.β
Thatβs topical authority. Itβs also brand authority.
The thin SEO version is publishing thousands of keyword pages and internally linking them until your CMS starts begging for death. The real version is becoming known.
The old commercial defense of topical authority was traffic.
Brands didnβt hire search marketers because they had a deep spiritual yearning to become encyclopedias. They hired them for organic revenue growth β to appear when customers searched, and to drive clicks, leads, and sales.
Informational content was sold, in part, as advertising. Someone searches a question, lands on your article, and sees your brand. Maybe they join your email list, return later, or buy.
That model was always more fragile than the industry admitted. Most users donβt sit around thinking about your B2B SaaS platform, your dog food brand, or your running shoe category page.Β
Ask someone to name 10 toothpaste brands, and theyβll struggle, despite a lifetime of exposure. Ask them to recall the last ten TikToks they watched, and watch their face collapse.
Advertising works through memory structures, distinctive assets, repeated exposure, and relevance. A single accidental visit to a generic βwhat isβ article was never the brand-building miracle some content marketers claimed.
Now AI has made the economics worse. For many informational searches, answers are increasingly synthesized before the click. From the userβs point of view, thatβs often a better experience.
My dad is in his 70s. He loves AI Overviews. He doesnβt want to click through three ad-infested recipe pages, dodge newsletter popups, reject cookies, scroll past a life story, and finally find how long to boil an egg. He wants the answer.
Users arenβt mourning your lost organic session. Theyβre getting on with their lives. Thatβs the uncomfortable truth.
If the click disappears, much of the supposed advertising effect of informational content disappears with it β no logo exposure, no distinctive assets, no remarketing pixel, no email capture, and no carefully designed journey. Just your content absorbed into a synthesized answer, and maybe a small source link on the side.
This brings us to another emerging industry obsession: AI citations.Β
The small source boxes in ChatGPT, Gemini, Perplexity, AI Overviews, and other AI search experiences are being treated as the new holy metric. Agencies, tools, and consultants are already building around it.
The SEO industry loves a single metric β domain authority, traffic, keyword positions, share of voice, and now AI visibility. The problem is that an AI citation isnβt the same as a human citation.
An AI citation is often a helpful link β a reference, a retrieval artifact. Itβs directionally useful. It can show what sources a system uses to support an answer, and whether your content is accessible, relevant, and being surfaced in certain contexts.
But itβs not the same as:
Human citations are evidence of market recognition. AI citations are evidence of machine retrieval. Donβt confuse the two.
The goal isnβt to be scraped. Itβs to be recommended.
If you want a better proxy for whether your authority is growing, look at brand search.
People search for brands they know, are considering, have bought from, or were recommended. Brand search isnβt perfect, but itβs much closer to commercial reality than counting how often a chatbot footnotes your blog post.
Thatβs why share of search matters. It gives you a directional view of market demand and mental availability. If more people are searching for your brand relative to competitors, something is happening. Your advertising, PR, product, reviews, word of mouth, content, partnerships, social presence, and customer experience are creating demand.
This is where the βbut this is just SEOβ crowd starts clearing its throat.
Itβs not βjust SEO.β Or rather, itβs only SEO if you define it so broadly that it includes every activity that might influence a search result. Thatβs strategic ambiguity. It lets everyone claim they were doing the future all along.
Most SEO retainers werenβt building brand fame. They were producing content, fixing technical issues, buying or earning links, and reporting rankings. Sometimes it worked β sometimes very well. But the average topical authority strategy wasnβt a sophisticated brand visibility program.
None of this means you abandon traditional SEO. Buyer-intent rankings, category pages, product pages, local pages, technical SEO, internal linking, structured data, reviews, and crawlability matter.Β
Search still works as a shelf. Many brands are discovered for the first time in supermarkets. The same is true in Google. If someone searches βemergency locksmith near me,β βbest trail running shoes,β or βmeeting intelligence software,β you want to appear.
Being found still matters, but itβs not the same as being recommended. Traditional SEO helps you get found, while brand authority drives recommendation.Β
AI search shifts the balance toward the latter, synthesizing options, reducing uncertainty, and often naming brands, products, and solutions directly.
Semrush accidentally said the quiet part out loud with its April Foolsβ βBrand Visibility Expertβ stunt, where employees changed their titles on LinkedIn. It was a joke, but not entirely.Β
The company later described AI visibility tools that track brand visibility, mentions, prompts, perception, and competitor presence in AI search. Thatβs where the market is going.
The future of search marketing isnβt just search engine optimization. Itβs brand visibility across the network.
That means increasing meaningful visibility in the places where humans and AI systems encounter information:Β
The web is now the surface, and your website is just one part of it. This is the shift many SEOs donβt want to face. Many are used to optimizing owned pages for search engines.Β
The next era is about optimizing a brandβs presence across the web. That requires different work.
If you want to build brand authority in AI, start with positioning.
These arenβt fluffy brand questions. Theyβre search questions now.
These are performance attributes β the reasons people choose you. Your search strategy should reinforce them.
If your pet food brand specializes in sensitive stomachs, you need to be visible around dog dietary problems β not just on your blog, but in vet commentary, buyer guides, reviews, creator content, journalist coverage, customer stories, comparison pages, and data studies.Β
These are the places where humans and AI systems learn whatβs credible. Thatβs brand authority.
The rule for AI-era content is simple. Every piece of content should have real-world marketing value at publish.
If one person encounters it, they should understand your brand better, feel more positively about it, remember something useful, or be more likely to trust you.
If content only makes sense as an SEO asset after it ranks, itβs probably weak.
This means you stop creating βdeadβ content. Instead:
Do fewer things. Make them better. Promote them harder.
Brands have limited budgets β smaller ones have even less room for waste. Spending thousands on a content library that repeats known information may be less effective than using the same budget to create one excellent data study, seed it with journalists, get creators talking, earn reviews, improve product pages, and run ads that make people search for your brand.
Ask yourself, βWhat use of this budget is most likely to increase brand search, links, mentions, reviews, and recommendations?β
A useful idea from network science applies here: success is driven by fitness multiplied by visibility.
Fitness without visibility is a brilliant brand nobody knows. Visibility without fitness is hype β and it usually collapses.Β
Thatβs how preferential attachment starts. Brands that are talked about get talked about more. Brands that are searched get searched more. Brands that earn links earn more links. Brands that become default sources are cited more often. Brands that sell more get more reviews, more mentions, more data, and more presence.
AI accelerates this dynamic, consuming the web faster than humans and reinforcing those signals at scale. If your brand has dense, consistent, and credible associations with the problems you solve, you reduce uncertainty that youβre a good recommendation.
Track, optimize, and win in Google and AI search from one platform.
Brand authority wins in AI β because real topical authority was always brand authority.
The version of topical authority that deserves to survive is the one where a brand becomes a genuine source in its category β creating useful information, earning mentions, building demand, getting searched, getting cited, and becoming associated with the problems it solves.
The version that deserves to die is the one where a brand publishes endless keyword-targeted sludge and calls the result authority.
AI hasnβt killed SEO. Itβs killed the illusion that mediocrity deserves traffic.
The search marketers who win next wonβt be the ones who publish the most. Theyβll be the ones who make brands more meaningfully visible across the internet. Theyβll understand positioning, PR, content, technical SEO, reviews, creators, category demand, links, mentions, and brand search as one connected system.
The goal isnβt to optimize for search engines, but for the network they use to understand the world.
Build the brand. Make it visible. Make it worth recommending. Everything else is just content with delusions of grandeur.

The other day, I was putting together my version of a Lumascape of answer engine optimization (AEO) tools β Iβm kidding, my computer doesnβt have that kind of bandwidth.
Instead of mapping every tool β which would be outdated in minutes β Iβm focusing on the ones I actually use to grow clientsβ AI search presence.
This is a deliberately short list: four tools I rely on, plus three Iβm testing before adding them to my teamβs stack.
Used thoughtfully, large language model (LLM) assistants are research and analysis tools in their own right. For AEO work specifically, they serve several distinct purposes:Β
The key distinction from passive use is intentionality β using these tools with a defined AEO research methodology rather than ad hoc.
AEO requires a fundamental understanding of how AI systems process and represent information. The most direct way to develop that understanding is to work regularly and analytically within those systems.Β
Querying AI assistants with the same prompts your target audience uses β and carefully analyzing what they return, what sources they cite, what entities they associate, and how they structure answers β gives you peerless ground-level intelligence.
Each platform has its own strengths worth noting:
Firsthand research on your brandβs current AEO status, which includes:
AI assistant outputs are non-deterministic and vary by platform, model version, session context, and even time of day. Manual prompt testing is qualitative and difficult to scale. These tools are best used to build intuition and generate hypotheses, which should then be validated with quantitative data from platforms like Profound.Β
Also worth noting: querying AI systems for competitive research can quickly become a rabbit hole, so before you truly dig in, build a structured testing framework and stick to it.
The SEO toolkit you know, plus the AI visibility data you need.
Profound is purpose-built AEO intelligence that monitors how AI platforms (ChatGPT, Perplexity, Google AI Overviews, Claude, etc.) discover, surface, and cite your brand and content.Β
It also tracks brand mention frequency and sentiment, competitorsβ share of voice, and the specific prompts or query types that trigger your content to appear in AI-generated answers.
If you want to understand where your brand stands in the AI answer ecosystem, itβs currently the most direct way to get that data. It shifts the question from βwhere do we rank?β to βwhen AI answers a question in our category, are we in the answer?β
The cross-platform coverage is the toolβs most distinctive feature. Rather than measuring a single AI engine in isolation, it provides a comparative view across the major platforms simultaneously. The competitive benchmarking functionality is particularly useful: you can see both your own AI citation share and how it stacks up against named competitors. Itβs the kind of context that transforms data into strategy.
Some fundamental capabilities, like:
Itβs a pretty expensive tool. If you want to justify the expense to your C-suite, tell them, βThis will show us exactly where weβre losing to {most hated competitor}.β
The tool is evolving quickly, which it needs to do as the AEO landscape morphs in real time. The data it surfaces reflects AI outputs at the time the query is made. Outputs are inherently variable because AI systems donβt return the same answer to the same prompt every time.
Treat metrics as directional signals and trend data rather than precise, static rankings. It also wonβt tell you why youβre being cited or not. Thatβs on you and your team to analyze.
Google Trends tracks the relative search interest for queries over time, across geographies, and in comparison to related terms. Google Keyword Planner provides search volume estimates and demand forecasting, originally designed for paid search planning but equally useful for organic and AEO strategy.
AEO strategy lives and dies by understanding demand signals. Before optimizing content to appear in AI answers, you need to know what questions people are actually asking, how that demand is trending, and whether the topic has enough volume to warrant investment.Β
Googleβs tools remain the most reliable source of this data at scale β and crucially, they reflect the same underlying search behavior that feeds into AI engine training data and query patterns.
Google Trends is uniquely powerful for directional trend analysis. It doesnβt give you absolute volume, but it gives you relative momentum β which is often more strategically valuable when youβre trying to anticipate where audience interest is heading rather than just where it has been.
For AEO specifically, rising query trends can signal emerging answer opportunities for you to address before your competitors do.Β
In my experience, Keyword Plannerβs forecasting features are underused. They can help you prioritize content investment based on projected demand rather than historical data alone.
Build a truly dynamic AEO strategy in which you:
As you probably noticed when I recommended those tools, neither reflects AI-native query behavior directly. They measure traditional search, not prompts submitted to ChatGPT or Perplexity.Β
As information-seeking behavior shifts toward AI interfaces, these tools will increasingly undercount true demand. Use them as a strong proxy and directional guide, not as a complete picture.
Worth noting: Keyword Planner also requires an active Google Ads account, and volume estimates in low-competition or niche categories can be imprecise.
Google Search Console (GSC) provides direct data on how your site performs in Google Search: which queries trigger impressions, click-through rates, average positions, and indexing status.Β
Google Analytics 4 (GA4) tracks on-site behavior β how users arrive, what they do, how long they stay, and where they exit β including referral traffic sources that reveal whether visitors are arriving from AI-adjacent platforms.
For AEO practitioners, these tools serve critical diagnostic functions.
GSC tells you whether the content youβre optimizing for AI citation is also performing in traditional search, which matters because Google AI Overviews and traditional organic results draw from overlapping content pools.
GA4βs referral traffic data is increasingly important for detecting direct traffic from AI platforms: as users click through citations in tools like Perplexity or ChatGPTβs browsing mode, that activity shows up as referral or direct traffic. Thatβs worth segmenting and monitoring, even if, given the scorching rise of zero-click activity, it paints a very incomplete picture of your AEO impact.
GSCβs query data is irreplaceable. No third-party tool has access to the same level of Google-sourced search performance data. The ability to see exactly which queries are driving impressions (even without clicks) is foundational for identifying content that has topical authority but may not be converting visibility into AI citations.Β
GA4βs cross-channel attribution and audience analysis capabilities help you understand where AEO-driven traffic comes from and what that traffic does when it arrives β which is the commercial case for the discipline.
Develop a true understanding of AEO business impact β and AEO blockers β by:
GSC data has well-documented limitations: it samples at scale, attribution can be murky, and data is typically available with a 48-72 hour lag. Critically, it only reflects Google. It tells you nothing about how you perform in Bing-powered AI search or standalone AI platforms.Β
GA4 still has UX rough edges, so youβll need to confirm that your event tracking and conversion configuration is solid before drawing strategic conclusions from the data.
That shortlist leaves, oh, thousands of tools left to consider. I recommend putting these on your radar and testing them to gauge their value as the AEO ecosystem develops.
AI Trust Signals focuses on the credibility and trustworthiness signals that influence whether AI systems choose to cite a source.
This is an emerging and underexplored dimension of AEO: it goes upstream from content relevance and helps brands understand whether an AI system βtrustsβ a domain enough to surface it as an authoritative reference. Itβs worth monitoring as the understanding of AI citation mechanics matures.
Ahrefs is a mature SEO platform with deep backlink analysis, content gap tooling, site auditing, and keyword research capabilities.Β
Its relevance to AEO is primarily indirect, but itβs significant: authority signals, including referring domain quality and topical authority depth, are widely believed to influence AI citation likelihood. Ahrefs is a benchmark tool for understanding and building that authority infrastructure.
Its Content Explorer is also a practical tool for identifying high-performing content in your category that AI systems are likely to draw from.
Roadway AI positions itself as an AI-native platform with a focus on scaling growth marketing activities. Where it helps is building agents that can help attribute AEO signals into revenue, so you can better understand impact.Β
As a newer entrant, itβs worth evaluating as part of a toolkit audit, especially if youβre looking for tooling built specifically for AEO use cases. The category is moving fast, and platforms like Roadway AI may gain significant mindshare within 12 months, which also means more competitors are coming soon.
Track, optimize, and win in Google and AI search from one platform.
AEO tooling is still catching up to AEO as a discipline, which will likely be the dynamic for the next few years, at least.
Everything is changing so fast, and AI-driven discovery is evolving as users adopt new behaviors that vary by vertical. What matters is consistently applied measurement, strong analysis, and testing that lead to actionable insights.
You wonβt get your setup perfect. Like much of marketing, solidly directional is probably as good as youβre going to get. With any tool, if you can explain and measure how it improves your AEO efforts, thatβs a great start.Β
Before you sign any contracts, see if you can find an industry colleague with real-life experience using the tool, and ask them for their take. Unless theyβre staunch advocates, chances are you can either find an alternative that does the same thing better or cheaper, or you can wait another month for one to emerge.
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Samsung continues to improve its 2nm GAA process with its second iteration, which will be utilized for the Exynos 2700, enabling the company to introduce the direct successor to the Exynos 2600. While the upcoming chipsetβs release will serve to reduce the Korean giantβs dependency on Qualcomm and lower its expenditure on outsourced silicon, it can also help restore its non-memory and semiconductor businesses, which are currently facing a 1 trillion won deficit ($679.21 million). Analysts predict that, depending on the Exynos 2700βs capabilities, Samsung should be able to reduce its deficit to around $543.47 million During the first quarter [β¦]
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The conversation has shifted. Weβre spending less time optimizing for clicks and more time trying to fix the AI ROI story. AI now sits at the center of discovery, shaping what gets seen, summarized, and cited.
Hereβs whatβs working right now, what your peers are doing, and why SMX Advanced will feel different this year.
The foundation of any serious 2026 content strategy has to start with Rand Fishkinβs landmark March 2026 study, βInfluence Happens Everywhere,β an analysis of the 5,000 most-visited sites on both mobile and desktop.
The finding that rattled the industry: while Google still commands 73% of search traffic, search itself is merely a response to influence created elsewhere.
People donβt wake up and search for a brand in a vacuum. They read, watch, and listen across a fragmented web of news, social media, and niche communities before they ever hit a search bar.
AI tools, despite their rapid growth, still account for a fraction of total web visits compared to the βbig incumbents.β But the trajectory is unmistakable.
The fundamental problem with attribution in 2026 is that search gets over-credited because it captures demand at the finish line, while the fragmented channels β email, news, specialized content β get under-credited for creating that demand in the first place.Β
When creating content, your job is to win the influence phase so thoroughly that when a user eventually turns to an AI assistant or a search bar, your brand is the only logical answer.
That framing is the strategic backbone behind sessions at the upcoming SMX Advanced in Boston, June 3-5, and the lens through which your entire editorial calendar should be rewritten.
The SEO toolkit you know, plus the AI visibility data you need.
Before we discuss tactics, itβs worth pausing to note that this publicationβs own contributor base has been sounding the alarm in complementary ways. Read them together and a clear picture emerges.
Dave Davies, principal SEO manager at Weights & Biases and a regular SMX Advanced speaker, published a rigorous piece in December 2025, βMentions, citations, and clicks: Your 2026 content strategy.βΒ
Drawing on Siege Mediaβs two-year content performance study covering more than 7.2 million sessions, Grow and Convertβs conversion research, and Seer Interactiveβs AI Overview findings, Davies made the case that the metrics weβve lived by β impressions, sessions, CTR β βno longer tell the full story.βΒ
Mentions, citations, and structured visibility signals, he argued, are becoming the new levers of trust and the path to revenue.
Carolyn Shelby, who appeared in a recent SMX Munich 2026 recap for her session βInside Googleβs Head,β crystallized what many of us have only half-articulated: AI doesnβt discover new brands β it selects from known entities.Β
The implications are stark. If you havenβt built entity recognition across the webβs key reference points β Wikipedia, Reddit, LinkedIn, authoritative press coverage β you donβt get selected.Β
My own October 2025 piece for this publication compared how ChatGPT, Perplexity, Gemini, Claude, and DeepSeek differ in their data sources, live web use, and citation rules. The conclusion I reached then is truer today: a single-platform AI strategy isnβt a strategy. Each model has different retrieval logic, different trust signals, and different recency weighting.Β
Jordan Koene made the same point in January 2026, noting that different LLMs win different jobs. This heterogeneity is the fundamental reason why βwrite good contentβ is both correct and insufficient as advice.
In 2024, we were impressed if an AI tool could write a decent 500-word blog post. Today, writing is the least interesting thing AI does.
Jasperβs 2026 Enterprise Suite is a useful illustration. It doesnβt just draft text, it:
We have moved from βHelp me write thisβ to βHelp me dominate this topic.β
But tools donβt solve strategy problems. The harder question is βwhat should the content actually say?β AI canβt produce the original research, the proprietary case study, or the hard-won perspective that makes an LLM choose you over a dozen lookalike alternatives.
This is why the most interesting SMX Advanced session on content this year may be the one by Purna Virji of LinkedIn, who opens the conference with a keynote on fixing the broken AI ROI story before budgets get cut.Β
Her argument β that AI investment must generate measurable business outcomes βat the P&L level,β not just activity, efficiency, or content volume β is a direct challenge to teams that have been celebrating output metrics while their revenue dashboards flatline.
Perhaps the most significant platform shift for content creators in 2026 was Google moving Google Vids out of its Workspace-only silo. You can now create, edit, and share videos at no cost directly within the Google ecosystem, powered by the Veo 3 generative model.
For years, video production was protected by a high barrier to entry: expensive tools, specialist skills, and days of editing time. Google Vids collapses that barrier. Drop a Google Doc or a URL into the βHelp me createβ prompt, and you get a full-motion storyboard with AI-generated voiceovers, licensed music, and transitions in minutes.
The practical consequences are arriving fast:
The strategic implication is the same as it was for text: AI tools lower the floor but raise the bar. Every competitor now has access to cheap video. But who has something worth saying in that video?
Depending on which Search Engine Land article you read in the past few weeks, the dominant framework for surviving this shift is either generative engine optimization (GEO) or answer engine optimization (AEO).
A growing number of contributors argue these terms are marketing noise for what is, at bottom, just good search everywhere optimization plus structured data plus earned media.
That debate is genuinely worth having, and it will be had at SMX Advanced. But for the practitioner who needs to make decisions next week, hereβs what the evidence actually supports:
The practical translation of all of this:
As AI-generated content reaches its peak volume, the value of the human voice has skyrocketed β but not for the reasons most think-piece writers suggest.
The standard argument runs like this:Β
Thatβs partially true, but it understates the mechanism. The deeper reason human-authored content is winning in AI-mediated search is structural.Β
Human authors whoβve built genuine reputations across years of bylined, cited, and cross-referenced work have, in effect, built entity graphs that AI systems can navigate. That isnβt something a prompt can replicate.
The classic example: an AI-generated 2026 review of a new electric vehicle might be factually flawless, listing every spec and battery range. But it loses to a human-authored piece that says, βI drove this through a New England blizzard and the door handle froze shut.βΒ
AI canβt freeze. It canβt feel frustration. It canβt have a bad morning. Those human frictions are now genuinely valuable SEO assets β not because theyβre charming, but because no language model can fabricate them with any credibility.
Readers, trained by years of exposure to AI content, have developed a reliable instinct for the difference.
The Siege Media data Davies cited adds a quantitative dimension: across 7.2 million sessions, the content that earned sustained citations and conversions shared a consistent profile β original data, expert voice, and clear structure that an AI system could extract and attribute. Volume without those properties is, as the headline puts it, just noise.
The SMX Advanced agenda is the clearest available signal of where the practitioner community thinks the critical problems are right now. A few sessions deserve particular attention from anyone focused on content creation.
Virjiβs keynote, βYour AI ROI story is broken: How to fix it before budgets get cut,β opens Day 2. Virji isnβt arguing that AI investment is wrong. Sheβs arguing that almost every organization is measuring it incorrectly β and that the correction required is organizational, not tactical.
Daviesβ session, βPredicting and influencing AI citations with retrieval signals,β on June 4, is the direct technical counterpart to the strategic framing above. If Virji is asking βwhat does success mean,β Davies is asking βhow do you engineer it.βΒ
SMX Master Classes ran in April, and SMX Next follows in November. If thereβs a throughline across the entire 2026 SMX calendar, itβs this: the search marketing community has collectively decided that the era of isolated channel optimization is over. Content, paid, technical, and brand are now one discipline, or they are failing disciplines.
Broad strategic advice is easy to nod at and ignore. Here is the specific and uncomfortable version:
Track, optimize, and win in Google and AI search from one platform.
The age of the proxy is over. You can no longer hide behind a ghostwriter or a simple prompt and expect to build a brand. But the deeper truth β the one that doesnβt make it into most AI content trend pieces β is that this transformation benefits people whoβve been doing the hard work all along.
If youβve been building genuine expertise, publishing original data, earning bylines in authoritative publications, and cultivating real presence in the communities where your customers actually talk β then you already have most of what you need. The AI infrastructure of 2026 is, in many ways, a system that rewards exactly the things good content has always required.
The difference is that the competition is now generating plausible-sounding content on a scale that would have been impossible to imagine four years ago. Being good isnβt enough to stand out.Β
You have to be citable, structured, and present in all the right places at precisely the right time β which is a harder, more interesting, and ultimately more durable strategic problem than keyword density ever was.
See you in Boston.


MSI has built a Limited Edition GPU for The Mandalorian and Grogu MSI Germany has started to tease a new Limited Edition RTX 5080 graphics card. This new GPU will be themed around The Mandalorian and Grogu, the newest Star Wars movie. The film will be coming to cinemas on May 22nd, with Jon Favreau [β¦]
The post MSI teases The Mandalorian and Grogu RTX 5080 GPU appeared first on OC3D.
ASUS is planning to limit the production of its RTX 5070 Ti GPUs and prioritize the higher-end RTX 5080 models in its place. ASUS Prioritizes Higher-End RTX 5080 GPUs By Limiting Other 16 GB Models, Such As The RTX 5070 Ti While NVIDIA has confirmed that production across all RTX 50 GPUs remains stable, AIBs are doing things differently on their end. As per industry sources quoted by Channel Gate, it looks like ASUS is making some significant changes to its GPU allocation, where it will prioritize higher-end 16 GB graphics cards while limiting the supply of RTX 5070 Ti [β¦]
Read full article at https://wccftech.com/asus-starves-the-rtx-5070-ti-as-memory-shortages-force-a-pivot-toward-the-more-profitable-rtx-5080/

Long-time gamers know all too well that Nintendo has a rather unique policy when it comes to discounts for its exclusive games: they rarely, if ever, exist. Most of the time, you'll see Nintendo titles keeping their full price even years after their release, whereas every other platform, be it other consoles from Sony and Microsoft or PC itself, applies regular discounts for even the biggest games some time after their original launch. Former Nintendo of America president and CEO Reggie Fils-AimΓ© provided his own explanation for why that's the case. In a recent talk with games analyst Joost Van [β¦]
Read full article at https://wccftech.com/reggie-fils-aime-nintendo-full-price-kyoto-craftsmanship/

AMD's upcoming Ryzen AI 5 435G Desktop APU has leaked out, showcasing benchmark performance similar to Ryzen 8000G APUs. AMD Ryzen AI 400 Desktop APUs Bring The Latest Architectures To AM5 Platforms, Ryzen AI 5 435G Shows Similar Performance As 8600G The AMD Ryzen AI 400 Desktop APUs will be launching soon, bringing up to 8 "Zen 5" CPU cores, up to 8 "RDNA 3.5" GPU cores, and a 50 TOPS NPU. They don't feature the higher-end Strix/Gorgon specifications such as up to 12 "Zen 5" CPU cores, and 16 RDNA 3.5 GPU cores, but they do feature a modern [β¦]
Read full article at https://wccftech.com/amd-ryzen-ai-5-435g-already-matches-ryzen-5-8600g-benchmark-leak/

Resident Evil Requiem running with NVIDIA DLSS 5 was among the most controversial showcases of the upcoming technology, if not the most controversial, as it seemed to alter Grace's character design significantly. Speaking with Eurogamer, Producer Masato Kumazawa refused to comment directly on the team's involvement in the controversial showcase, but what has been said suggests how the developer will place any tech that could alter artistic intent under heavier scrutiny in the future. "The fact a lot of players commented they really liked the original design of Grace and didn't want to see it changed was a positive," Kumazawa-san [β¦]
Read full article at https://wccftech.com/resident-evil-requiem-producer-nvidia-dlss-5-reaction-louder-words/

Google's Director of Software Engineering recommended using AI to boost providing value and said, "clearly, this is something we can advise."
The post Google Advises Using AI In Best Possible Way For AI Search appeared first on Search Engine Journal.

DLSS 4.5 Dynamic Frame Generation has arrived in Crimson Desert With Crimson Desert update 1.05, the game now supports DLSS Dynamic Frame Generation on PC. This appears to be a first for PC games, as until now, DLSS Dynamic Frame Generation has only been available in games through Nvidia App game overrides. DLSS Dynamic Frame [β¦]
The post Crimson Desert gains DLSS Dynamic Frame Generation support on PC appeared first on OC3D.
The launch of the PlayStation 5 Pro marked the debut of AI-powered upscaling in the console space with PSSR. While the upscaler's latest version significantly improves image quality over its launch iteration, there's a very strong chance that, on PlayStation 6, the upscaler will also deliver AI-powered frame generation, judging from the LinkedIn profile of a Senior Research Scientist at Sony Interactive Entertainment. As spotted by MP1st, Ayan Kumar Bhunia has been working on Machine Learning and Computer Vision for SIE since December 2023. One of the highlights of their experience at the company is having "spearheaded core research behind [β¦]
Read full article at https://wccftech.com/playstation-6-pssr-frame-gen-doubles-down/

It looks like Take-Two and Rockstar Games are both pushing to avoid a third GTA 6 delay. Just last week, Take-Two CEO Strauss Zelnick shrugged off delay rumors, pointing out that many people will likely take a sick day on November 19, the current release date for Grand Theft Auto 6. The toll of this final push, however, may weigh heavily on employees. On Glassdoor, a website that allows verified employees to anonymously publish reviews of their own companies, two reviews were posted last week noting this very issue. The first one went live on April 30. A former game [β¦]
Read full article at https://wccftech.com/gta-6-crunch-rockstar-qa-november-deadline/

RealtyKit bundles AI prompts, templates, and scripts that help real estate agents create listing descriptions, stage photos, nurture leads, and film social videos faster. Paste property details to get MLS-ready copy, use over 200 Midjourney and ChatGPT staging prompts, and add 52-week email sequences to your CRM. The vault delivers viral TikTok/Reel scripts plus FSBO and expired listing scripts, with instant digital access and lifetime updates. It works with ChatGPT, Midjourney, and other models, turning hours of work into seconds.
An embeddable store locator for brands selling through retail partners. It works on any website via a single script tag. Every customer search is captured automaticallyβcity, product, and retailerβand shown in an analytics dashboard that maps demand and identifies where retail coverage is thin. Features include full brand customization, product availability filtering, retailer chain filtering with logos, pre-filtered campaign URLs, a Store Data API, and automatic Google Analytics tracking. It can be live in days.
Preserve useful answers, corrections, and context as memory
AI chatbot trained on Brazil's Central Bank regulations
Animated companions for your Codex workflow
Get your trading card based on your CC & codex usage
Track prices on stores like Amazon, eBay, & AliExpress
Pre-Modeled Infra & Client SDKs for User-Powered Products.
Your personal AI assistant, native to your desktop
Branded team headshots in one drop
Agent Teams You Can Actually Delegate To
Your website analytics in your pocket
Uncover the story behind every click to optimize your site
Buy DRM-free comics and read them instantly in Panels

When market distortions become so extreme that the underlying economics stop making sense, retreat is the only recourse. And, this is exactly what Morgan Stanley is now betting on in relation to Apple's ongoing bid for uncontested market share supremacy via a combination of price freezes and strategic hoarding of memory resources. Morgan Stanley believes Apple will not be able to sell the upcoming iPhone 18 variants at the same prices as those of their equivalent iPhone 17 counterparts Apple's emergent strategy to freeze the prices of its products amid the ongoing memory-driven turmoil first became evident when it refused [β¦]
Read full article at https://wccftech.com/apple-held-the-line-on-macbook-pricing-while-microsoft-hiked-surface-prices-but-the-iphone-18-is-where-the-streak-reportedly-breaks/

Foodbe is the first AI platform that answers food questions with the depth of a nutritionist, the knowledge of a food historian, and the instincts of a Michelin-level chef. Ask anythingβwhy does garlic turn bitter, what does salmon do for inflammation, how do you get a perfect searβand get answers from Neuro (food science), Oracle (food history and culture), and Chefy (cooking technique). Every answer is sourced and verified. Not a ChatGPT wrapper. Built from scratch on 3,000+ hand-curated seeds over 14 months. A B2B API is available for food apps, grocery platforms, and health companies at api.foodbe.ai.
Katie AI is an AI sales agent that builds your entire outbound workflow in minutes. Describe your product and target market, and it generates ICPs, messaging, cold emails, call scripts, follow-up cadences, and next-best actions with lead scoring. Specialized agents like Market Analyst, ICP Finder, Email Writer, Call Script, and Closer guide each step so you know who to target, what to say, and when to act. Start free to turn cold leads into qualified opportunities fast.
AI Prospect Scout is an AI SDR platform for founders and lean teams to turn ICPs into booked meetings. It generates your ideal customer profile from your website, discovers accounts with 20+ signals, enriches contacts, and drafts tone-matched outreach using your brand voice. Run multi-step campaigns with approvals, quality scoring, and compliance built in. Handle replies with Maria Replies AI Agent, prioritize hot leads, and schedule meetings, while Marc Prospecting AI Agent keeps your pipeline full. Track sends, replies, bookings, and funnel performance in one dashboard and connect your own email and enrichment providers for transparent costs.
MusicWave is an AI music generator that turns text prompts into full, radio-ready songs in minutes. Describe your idea, pick a genre, and get a complete track with vocals, instruments, and mixing, all AI-generated. Features include AI cover song generation, stem splitting, BPM and key detection, lyrics generation, audio mastering, AI remix, vocal removal, and image-to-song creation, offering nine professional tools in one platform.
Google's Nikola Todorovic said AI can act "like a kind of a black box" while explaining why machine learning was hard to deploy in Search.
The post Googleβs Black Box AI Models: What Search Professionals Need To Understand appeared first on Search Engine Journal.
bizSupply tracks procurement contracts, monitors vendor spend, and alerts you before renewals so you can negotiate and avoid waste. It benchmarks prices, detects unused subscriptions, and shows savings opportunities in a unified dashboard with bank-grade security.
Connect your email and accounting system to auto-import contracts, then get 90/60/30-day renewal alerts and recommendations. A Chrome extension brings insights to your inbox, helping teams stay on top of every vendor relationship.
Brivvy gives teams one place to define tone, rules, audience, templates, and a glossary, then delivers that voice directly into AI clients through MCP. Write in ChatGPT, Claude, Cursor, and more while Brivvy enforces brand style and terminology automatically.
Use a unified workspace to create voices, structure content with templates, and manage preferred terms and phrases. Brivvy applies your rules at generation time so every message stays consistent and on-brand across channels.
Signed helps angels and startup employees manage their startup investments from one place. You can track portfolio value, IRR, and TVPI, run AI diligence, parse investor updates from email, triage pitches, and manage contacts. Generate tax-ready reports with cost basis, K-1 support, and year-end summaries, and track multiple entities. Build and search your investor network to bring the right people into every deal.
Stocks365 delivers AI-powered market intelligence for stocks, forex, crypto, and commodities. It scans 200+ instruments to generate model-driven signals with trust scores, real-time TP/SL tracking, and walk-forward tested performance statistics. The platform combines a live signals dashboard, verified track records, a geopolitical risk tracker, and market news, plus calculators, education, and research to help you act with data-backed confidence.
AfterSession helps therapists write session notes faster. Instead of starting from a blank page, you enter a quick summary of the session and get a structured note in seconds. It supports common formats like SOAP, DAP, and BIRP, so the output fits what clinicians already use. You can review and edit everything before saving to stay in control of the final note. It doesnβt record sessions or change how you work. Itβs designed to fit into your existing workflow and reduce the time spent on documentation, especially at the end of a long day.
Itβs the latest move in a race to add artificial intelligence to consumer-facing home technology, with xAI and Amazon also competing for future category dominance.
The platform will allow creators to replace copyrighted songs with royalty-free instrumental clips, while also using conversation context to filter video comments.
An explainer article appeared and then disappeared in the appβs Help Center, suggesting this feature is still a work in progress.
The platform has made this event a cornerstone of its diversity engagement each year, with themed promotions and other activations.
The platformβs ad business drove a 69% year-over-year revenue increase to $663 million for the first quarter of 2026.
Β
Data shows YouTube, Reddit, and aggregators lost US search visibility after Google's March core update, while brand and government sites gained.
The post Googleβs March Core Update Shifted Visibility Away From Aggregators appeared first on Search Engine Journal.
Anthropic, the creators of Claude AI, are reportedly in early talks with a UK startup whose SRAM tech can boost AI inference by 100x & reduce costs by 10x. Anthropic Reportedly In Early Talks With Fractile, A UK-based Startup Working on the fusion architecture as an AI Inference Booster Currently, Anthropic sources its chips from various companies, including NVIDIA, Google, and Amazon. This trio allows the company to keep running its AI infrastructure without major concerns that are often associated with relying on a single chipmaker. But as compute demand intensifies in the AI space, many AI firms are now [β¦]
Read full article at https://wccftech.com/anthropic-sets-eyes-on-uk-startup-tech-speeds-up-ai-inference-100x-reduces-costs-10x/

StockComparison lets you analyze two stocks or ETFs side by side using clear metrics, valuation ratios, and performance charts. It highlights the winner for each metric and visualizes returns across multiple time frames to help speed your decision-making. Powered by reliable, up-to-date market data, it tracks 5-year growth trends like EPS CAGR, dividend growth, and revenue. Search any symbol, pick two assets, and get instant comparisons without spreadsheets.

Ask.com, formerly Ask Jeeves, which launched 29 years ago on June 3, 1996, before Google launched, shut down on May 1, 2026.
Ask.com now has a turn down page that reads:
Every great search
must come to an end.
As IAC continues to sharpen its focus, we have made the decision to discontinue our search business, which includes Ask.com. After 25 years of answering the worldβs questions, Ask.com officially closed on May 1, 2026.βTo the millions who askedβ¦β
We are deeply grateful to the brilliant engineers, designers, and teams who built and supported Ask over the decades. And to youβthe millions of users who turned to us for answers in a rapidly changing worldβthank you for your endless curiosity, your loyalty, and your trust.Jeevesβ spirit endures.

Ask.com has been known as an answer engine, the Jeeves butler was who you spoke to in the early days. With AI and all these new answer engines, Ask.com could have deployed its own unique taste for its answer engine. But I guess with all the competition and the market being harder, IAC, Ask.comβs parent company, decided to turn it down.
Ask.com will always have a place in the search marketing industry and Ask, including Jeeves, will be missed.
Ask.com, the search engine formerly known as Ask Jeeves, has shut down. IAC discontinued the search business after nearly 30 years.
The post Ask Jeeves Is Gone After Nearly 30 Years Of Search appeared first on Search Engine Journal.
NVIDIA's Feynman GPUs will be the first to feature Co-Packaged Optics, but this wasn't always the case until the AI giant decided to switch gears. Co-Packaged Optics Were Many Years Away, But NVIDIA Decided To Move Ahead With Its Feynman GPUs CPO or Co-Packaged Optics (Silicon Photonics) is the next-generation solution thatΒ reduces reliance on copper and harnesses light to transfer signals. These CPOs are packaged alongside hardware accelerators such as GPUs and will be a key solution for next-gen AI factories, offering improved interconnect latency and creating high-bandwidth connections between CPU and GPU. If we go by the original plans, [β¦]
Read full article at https://wccftech.com/nvidia-fast-forwarded-co-packaged-optics-five-years-ahead-arriving-with-feynman-gpus/

After a long time, the entry-level RTX 50 series GPU made its debut on the Steam Hardware Survey charts. All NVIDIA RTX 50 GPUs Appear on Steam Hardware Survey With RTX 5050 As the Latest Entry; 16 GB VRAM GPUs Now Closer in Popularity to 8 GB GPUs The previous Steam Hardware Surveys recorded almost all NVIDIA GeForce RTX 50 series GPUs, but the RTX 5050 always remained missing. Despite launching mid-2025, there was no sign of the GeForce RTX 5050 until now, when the card suddenly appeared on the Steam database. Both laptop and desktop variants are now available [β¦]
Read full article at https://wccftech.com/rtx-5050-makes-debut-in-steam-hardware-survey/

APOLLO Data Auditor scans files, databases, cloud storage, and Active Directory to detect personal data, quantify regulatory exposure in euros and dollars, simulate breach scenarios, and measure AI readiness. It can be deployed in 48 hours without dedicated staff.
Enterprise data audit tools cost β¬50-300K per year and cover 1-2 axes. APOLLO covers all four: Risk, Compliance, Data Protection, and AI Readiness, at under β¬5K per year. It is designed for SMBs and is based on real scanned data, not declarations.
Zerentry automates invoice and receipt data entry with an LLM-based engine that reads documents like a human and captures vendors, dates, VAT, totals, and line items with high accuracy. You can review low-confidence fields inline and sync results to Xero, QuickBooks, or Zoho Books in one click. It learns from your corrections, detects duplicates and anomalies, supports bulk uploads and email forwarding, and offers optional human verification. SOC 2 Type II security and audit logs help you close your books faster.
AMD's next-generation Halo flagship, the Ryzen AI MAX+ 495, has leaked out, featuring a 10% bump in performance & a new Radeon 8065 iGPU. AMD Ryzen AI MAX+ 495 Is The Flagship Gorgon Halo APU, Rocks 16 "Zen 5" Cores & Radeon 8065S GPU Earlier this year, we reported that AMD was working on a new Halo family called Ryzen AI MAX 400, and codenamed Gorgon Halo. Just like Strix Point to Strix Halo, Gorgon Halo will offer similar architectures as Gorgon Point "Ryzen AI 400" SoCs, but elevate the configurations with more cores, beefier GPU, and lots of memory [β¦]
Read full article at https://wccftech.com/amd-ryzen-ai-max-495-gorgon-halo-leak-192gb-memory-radeon-8065s/

In an era of unprecedented memory-led chaos in the global smartphone sphere, Apple lobbed nothing short of a bombshell during its earnings call this week, declaring that TSMC's advanced node capacity - not memory - was the main bottleneck for its products. Think about this. As per conservative estimates, Apple's iPhones are all set to consume 2.4 exabytes of memory this year! And yet, the Cupertino tech giant declares it is not memory-constrained, while seemingly capping the prices of its products. This declaration is nothing short of a gauntlet for Chinese OEMs: Apple is coming after your market share! Apple's [β¦]
Read full article at https://wccftech.com/apple-quietly-scoops-up-any-available-lpddr5-supply-while-freezing-iphone-prices-pushing-chinese-oems-to-kill-their-ultra-flagships/

omnirun runs on your computer and builds real projects using your actual files. Describe what you want by text or voice β it plans, creates, previews, and deploys to Vercel, Netlify, and more. Works with Claude, OpenAI, Gemini, Groq, DeepSeek, and Ollama. Bring your own keys, no markup. Everything stored locally in SQLite β your code never leaves your machine. Built-in AI assistant connects to Gmail, Google Calendar, GitHub, Slack, and Notion. It reads emails, drafts replies, and has watching agents that notify you when things happen. Project memory lets you return months later and resume instantly. Auto model routing cuts token costs 60-80%. Unlimited version history with instant rollback.
Mallary unifies social media scheduling, posting, and engagement through a single API and dashboard. Developers can schedule cross-platform posts, attach first comments, and enable AI auto-replies that keep audiences engaged.
The platform manages authentication, rate limits, retries, and platform approvals, with CLI and MCP support for agents and automation. Track views, likes, and comments, run bulk uploads, and rely on durable queues and preflight checks to keep workflows running across Instagram, YouTube, TikTok, LinkedIn, X, Pinterest, Reddit, Threads, and more.
LEGO Batman: Legacy of the Dark Knightβs PC system requirements are a disgrace The PC system requirements of LEGO Batman: Legacy of the Dark Knight have arrived, and whoever crafted them should be ashamed of themselves. The game is due to launch on PC on May 22nd, and the only word we can use to [β¦]
The post These Lego Batman PC system requirements are an abomination appeared first on OC3D.
Apple observes stringent quality control measures so that its premium products not only stand the test of time regarding durability but also minimize hardware failures caused by manufacturing defects. Unfortunately, when youβre dealing with millions of units being shipped in a calendar year, thereβs always a chance that an owner ends up with an βodd one outβ and, sadly, an M5 MacBook ProΒ that was only two days old was completely dead when a spark formed due to the machineβs hinge movement. The M5 MacBook Proβs failure will definitely be an interesting case for Appleβs engineering team, but a YouTuber has [β¦]
Read full article at https://wccftech.com/m5-macbook-pro-hinge-movement-causes-spark-resulting-in-failure/

Intel's Z-Angle Memory (ZAM) is approaching completion as it races towards taking a bite at the AI boom while challenging HBM as a viable alternative. Intel's ZAM Challenges HBM As A Big Memory Innovation In the High-Bandwidth, High-Capacity Segment Offering 2x The Speed of HBM4 Z-Angle Memory or ZAM has been stirring up a lot of talk in the memory segment. The upcoming memory standard is being developed by Intel and SoftBank & aims to offer a low-power, high-density replacement to HBM. Now, new details have been shared that provide more insight into ZAM memory. For starters, the new memory [β¦]
Read full article at https://wccftech.com/intel-zam-memory-threatens-hbms-ai-throne-with-2x-the-bandwidth-of-hbm4/

Intel's recently released Arc Pro B70 32 GB GPU has been tested in games, outperforming the Arc B580, and trading blows with the RTX 5060 Ti. Intel Arc Pro B70 GPU Gaming Benchmarks Give Us A Hint of What The Arc B770 "Big Battlemage" GPU Could've Offered To Gamers Back in March, Intel launched its Arc Pro B70 graphics card based on the Battlemage BMG-G31 GPU, which we all know as Big Battlemage. This bigger Battlemage chip was long-awaited in the gaming segment, but Intel decided to focus its efforts towards the AI market, equipping the card with a large [β¦]
Read full article at https://wccftech.com/intel-arc-pro-b70-32-gb-gpu-tested-in-games-65-percent-faster-vs-b580-trades-blows-with-5060-ti/

xAI is reportedly able to utilize just over 10% of its entire NVIDIA GPU fleet, as report suggests lackluster AI software stack optimizations. AI Software Stack Bottlenecks Are An Industry-Wide Problem, As xAI Is Only Able To Utilize 11% of Its Entire NVIDIA GPU Installation. The Information has reported that Elon Musk's xAI, the software firm behind Gorq and other key AI-based components, is only able to utilize a small chunk of its total installed GPU capacity. Currently, xAI runs around 550,000 NVIDIA GPUs, which are a combination of H100s and H200s. These are deployed within xAI's Memphis and Colussus [β¦]
Read full article at https://wccftech.com/xai-using-just-11-percent-gpus-while-meta-google-squeeze-out-much-more/

The ROG Equalizer doesn't work as advertised as discovered by Der8auer in his latest demonstration. ROG Equalizer 12V-2x6 Cable Shows Large Current Imbalance On WireView Pro II While Removing the Bridge Improves Balancing It appears that ASUS's recently released ROG Equalizer 12V-2x6 cable might not be the solution for proper load balancing. ASUS explicitly advertised the ROG Equalizer cable as a component that does better load balancing than regular 12V-2x6 cables, but the testing by popular German YouTuber Der8auer reveals something interesting. Der8auer has made two videos on the connector, but his latest video finds out what makes the ROG [β¦]
Read full article at https://wccftech.com/asus-rog-equalizer-shows-significant-load-imbalance-across-pins/

Micron posted a record Q2 as DRAM demand increases, but its CEO says this is just the beginning as more memory is required for AI to reach its full capabilities. Micron CEO Sees Demand For Faster Memory To Increase Massively For AI To Reach Its Full Potential Memory & Storage maker, Micron, has seen exceptional growth across all of its businesses, which include DRAM, NAND, and HBM. The growth comes from skyrocketing demand for their products as the Agentic AI craze continues to lift off every memory and storage firm. During a conversation with CNBC, Micron's CEO said that what [β¦]
Read full article at https://wccftech.com/micron-ceo-warns-ai-is-only-in-the-first-innings-memory-supply-tightens-dram-nand-demand/

Every World Cup, millions across Latin America create prediction pools called quinielas, pollas, or prodes depending on the country. Organizers collect predictions via WhatsApp, track scores in Excel, and manually update leaderboards that nobody trusts. With 104 matches in 2026, thatβs unsustainable.
Toqui replaces the entire workflow. Create a pool, share a link, and everyone joins to predict from their phone. Scores update live and leaderboards are automatic. No app download is needed since itβs a PWA. Free for groups up to 25. Pro tiers support offices and companies up to 1,000+. Covers World Cup 2026, Liga MX, Champions League, and more. Built for Latin America but works everywhere.
Roami provides global eSIM connectivity for travelers across 200+ countries and regions. Activate instantly without a physical SIM, choose daily unlimited or 1β30GB data plans, and access options with voice. The app auto price matches, supports 21 languages and local payments, and offers a worry-free refund if service doesnβt work.
Start with 100MB free to try, then stay online at high speed with partner networks and 24/7 human support on iOS and Android.
AMD seems to be preparing its first PRO CPU with 16 "Zen 5" cores & 3D V-Cache, the Ryzen 9 PRO 9965X3D. AMD's Ryzen PRO Lineup Used To Max Out at 12-Cores, But That Changes With The Upcoming 16-Core Ryzen 9 PRO 9965X3D AMD Ryzen PRO Desktop CPUs are designed for professionals, content creators, and AI users. These chips come with advanced security, manageability, and stability versus the standard chips. For a long time, AMD's Ryzen PRO family has featured up to 12-core models, but it looks like the company is about to release its fastest chip to date. On [β¦]
Read full article at https://wccftech.com/ryzen-9-pro-9965x3d-cpu-leak-amd-first-16-core-pro-cpu-with-3d-v-cache/
