The Google for Startups Accelerator offers mentorship and technical support to companies using AI to disrupt the energy sector.There’s 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. That’s why brand authority wins — 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, it’s simple.
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. That’s authority. It’s also brand building.
The problem is that much of the SEO industry hasn’t 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. Technical SEO became more specialized. Links were outsourced, packaged, renamed, earned through digital PR, or bought in one way or another.
Content, meanwhile, remained the dependable agency engine — 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 wasn’t 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 — strategic assets designed to earn links, rank, get shared, and pass equity to commercial pages. They had a purpose. They weren’t created just because the spreadsheet had another empty cell.
Topical authority changed that logic. It turned “let’s create something worth citing” into “let’s cover every possible keyword in the topic map and hope Google mistakes volume for expertise.” That was the original sin.
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Authority isn’t created by what you publish on your own site. It’s created when you become a recognized source.
Former Google engineer Jun Wu described this in terms of “mention information” — how search engines analyze natural language, identify topic phrases and sources, cluster related terms, and map associations between sources and topics.
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 isn’t new. When authoritative sites, journalists, communities, reviewers, experts, and customers consistently mention your brand in relation to a topic, you become associated with it — 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 don’t, but some topical authority consultant calling themselves a “semantic SEO” is likely pitching it to a fast food brand right now.
An SEO version of topical authority would probably begin with a map:
There’s 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 doesn’t 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.
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 “smash burger report.”
That’s topical authority. It’s 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 didn’t hire search marketers because they had a deep spiritual yearning to become encyclopedias. They hired them for organic revenue growth — 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 don’t sit around thinking about your B2B SaaS platform, your dog food brand, or your running shoe category page.
Ask someone to name 10 toothpaste brands, and they’ll 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 “what is” 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 user’s point of view, that’s often a better experience.
My dad is in his 70s. He loves AI Overviews. He doesn’t 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 aren’t mourning your lost organic session. They’re getting on with their lives. That’s the uncomfortable truth.
If the click disappears, much of the supposed advertising effect of informational content disappears with it — 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.
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 — domain authority, traffic, keyword positions, share of voice, and now AI visibility. The problem is that an AI citation isn’t the same as a human citation.
An AI citation is often a helpful link — a reference, a retrieval artifact. It’s 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 it’s not the same as:
Human citations are evidence of market recognition. AI citations are evidence of machine retrieval. Don’t confuse the two.
The goal isn’t to be scraped. It’s 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 isn’t perfect, but it’s much closer to commercial reality than counting how often a chatbot footnotes your blog post.
That’s 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 “but this is just SEO” crowd starts clearing its throat.
It’s not “just SEO.” Or rather, it’s only SEO if you define it so broadly that it includes every activity that might influence a search result. That’s strategic ambiguity. It lets everyone claim they were doing the future all along.
Most SEO retainers weren’t building brand fame. They were producing content, fixing technical issues, buying or earning links, and reporting rankings. Sometimes it worked — sometimes very well. But the average topical authority strategy wasn’t 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.
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 “emergency locksmith near me,” “best trail running shoes,” or “meeting intelligence software,” you want to appear.
Being found still matters, but it’s not the same as being recommended. Traditional SEO helps you get found, while brand authority drives recommendation.
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 Fools’ “Brand Visibility Expert” stunt, where employees changed their titles on LinkedIn. It was a joke, but not entirely.
The company later described AI visibility tools that track brand visibility, mentions, prompts, perception, and competitor presence in AI search. That’s where the market is going.
The future of search marketing isn’t just search engine optimization. It’s brand visibility across the network.
That means increasing meaningful visibility in the places where humans and AI systems encounter information:
The web is now the surface, and your website is just one part of it. This is the shift many SEOs don’t want to face. Many are used to optimizing owned pages for search engines.
The next era is about optimizing a brand’s presence across the web. That requires different work.
If you want to build brand authority in AI, start with positioning.
These aren’t fluffy brand questions. They’re search questions now.
These are performance attributes — 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 — not just on your blog, but in vet commentary, buyer guides, reviews, creator content, journalist coverage, customer stories, comparison pages, and data studies.
These are the places where humans and AI systems learn what’s credible. That’s 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, it’s probably weak.
This means you stop creating “dead” content. Instead:
Do fewer things. Make them better. Promote them harder.
Brands have limited budgets — 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, “What use of this budget is most likely to increase brand search, links, mentions, reviews, and recommendations?”
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 — and it usually collapses.
That’s 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 you’re a good recommendation.
Track, optimize, and win in Google and AI search from one platform.
Brand authority wins in AI — 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 — 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 hasn’t killed SEO. It’s killed the illusion that mediocrity deserves traffic.
The search marketers who win next won’t be the ones who publish the most. They’ll be the ones who make brands more meaningfully visible across the internet. They’ll understand positioning, PR, content, technical SEO, reviews, creators, category demand, links, mentions, and brand search as one connected system.
The goal isn’t 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 — I’m kidding, my computer doesn’t have that kind of bandwidth.
Instead of mapping every tool — which would be outdated in minutes — I’m focusing on the ones I actually use to grow clients’ AI search presence.
This is a deliberately short list: four tools I rely on, plus three I’m testing before adding them to my team’s 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:
The key distinction from passive use is intentionality — 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.
Querying AI assistants with the same prompts your target audience uses — and carefully analyzing what they return, what sources they cite, what entities they associate, and how they structure answers — gives you peerless ground-level intelligence.
Each platform has its own strengths worth noting:
Firsthand research on your brand’s 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.
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.
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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.
It also tracks brand mention frequency and sentiment, competitors’ 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, it’s currently the most direct way to get that data. It shifts the question from “where do we rank?” to “when AI answers a question in our category, are we in the answer?”
The cross-platform coverage is the tool’s 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. It’s the kind of context that transforms data into strategy.
Some fundamental capabilities, like:
It’s a pretty expensive tool. If you want to justify the expense to your C-suite, tell them, “This will show us exactly where we’re losing to {most hated competitor}.”
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 don’t 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 won’t tell you why you’re being cited or not. That’s 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.
Google’s tools remain the most reliable source of this data at scale — 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 doesn’t give you absolute volume, but it gives you relative momentum — which is often more strategically valuable when you’re 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.
In my experience, Keyword Planner’s 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.
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.
Google Analytics 4 (GA4) tracks on-site behavior — how users arrive, what they do, how long they stay, and where they exit — 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 you’re 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.
GA4’s referral traffic data is increasingly important for detecting direct traffic from AI platforms: as users click through citations in tools like Perplexity or ChatGPT’s browsing mode, that activity shows up as referral or direct traffic. That’s worth segmenting and monitoring, even if, given the scorching rise of zero-click activity, it paints a very incomplete picture of your AEO impact.
GSC’s 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.
GA4’s cross-channel attribution and audience analysis capabilities help you understand where AEO-driven traffic comes from and what that traffic does when it arrives — which is the commercial case for the discipline.
Develop a true understanding of AEO business impact — and AEO blockers — 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.
GA4 still has UX rough edges, so you’ll 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 “trusts” a domain enough to surface it as an authoritative reference. It’s 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.
Its relevance to AEO is primarily indirect, but it’s 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.
As a newer entrant, it’s worth evaluating as part of a toolkit audit, especially if you’re 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 won’t get your setup perfect. Like much of marketing, solidly directional is probably as good as you’re going to get. With any tool, if you can explain and measure how it improves your AEO efforts, that’s a great start.
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 they’re 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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The conversation has shifted. We’re 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.
Here’s what’s 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 Fishkin’s landmark March 2026 study, “Influence Happens Everywhere,” 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 don’t 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 “big incumbents.” 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 — email, news, specialized content — get under-credited for creating that demand in the first place.
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, it’s worth pausing to note that this publication’s 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, “Mentions, citations, and clicks: Your 2026 content strategy.”
Drawing on Siege Media’s two-year content performance study covering more than 7.2 million sessions, Grow and Convert’s conversion research, and Seer Interactive’s AI Overview findings, Davies made the case that the metrics we’ve lived by — impressions, sessions, CTR — “no longer tell the full story.”
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 “Inside Google’s Head,” crystallized what many of us have only half-articulated: AI doesn’t discover new brands — it selects from known entities.
The implications are stark. If you haven’t built entity recognition across the web’s key reference points — Wikipedia, Reddit, LinkedIn, authoritative press coverage — you don’t get selected.
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 isn’t a strategy. Each model has different retrieval logic, different trust signals, and different recency weighting.
Jordan Koene made the same point in January 2026, noting that different LLMs win different jobs. This heterogeneity is the fundamental reason why “write good content” 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.
Jasper’s 2026 Enterprise Suite is a useful illustration. It doesn’t just draft text, it:
We have moved from “Help me write this” to “Help me dominate this topic.”
But tools don’t solve strategy problems. The harder question is “what should the content actually say?” AI can’t 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.
Her argument — that AI investment must generate measurable business outcomes “at the P&L level,” not just activity, efficiency, or content volume — 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 “Help me create” 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, here’s 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 — but not for the reasons most think-piece writers suggest.
The standard argument runs like this:
That’s partially true, but it understates the mechanism. The deeper reason human-authored content is winning in AI-mediated search is structural.
Human authors who’ve built genuine reputations across years of bylined, cited, and cross-referenced work have, in effect, built entity graphs that AI systems can navigate. That isn’t 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, “I drove this through a New England blizzard and the door handle froze shut.”
AI can’t freeze. It can’t feel frustration. It can’t have a bad morning. Those human frictions are now genuinely valuable SEO assets — not because they’re 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 — 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.
Virji’s keynote, “Your AI ROI story is broken: How to fix it before budgets get cut,” opens Day 2. Virji isn’t arguing that AI investment is wrong. She’s arguing that almost every organization is measuring it incorrectly — and that the correction required is organizational, not tactical.
Davies’ session, “Predicting and influencing AI citations with retrieval signals,” on June 4, is the direct technical counterpart to the strategic framing above. If Virji is asking “what does success mean,” Davies is asking “how do you engineer it.”
SMX Master Classes ran in April, and SMX Next follows in November. If there’s a throughline across the entire 2026 SMX calendar, it’s 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 — the one that doesn’t make it into most AI content trend pieces — is that this transformation benefits people who’ve been doing the hard work all along.
If you’ve been building genuine expertise, publishing original data, earning bylines in authoritative publications, and cultivating real presence in the communities where your customers actually talk — 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 isn’t enough to stand out.
You have to be citable, structured, and present in all the right places at precisely the right time — 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 […]
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 […]
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-Aimé provided his own explanation for why that's the case. In a recent talk with games analyst Joost Van […]
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 […]
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 […]
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 […]
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 […]
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 […]
Read full article at https://wccftech.com/gta-6-crunch-rockstar-qa-november-deadline/
RealtyKit bundles AI prompts, templates, and scripts that help real estate agents create listing descriptions, stage photos, nurture leads, and film social videos faster. Paste property details to get MLS-ready copy, use over 200 Midjourney and ChatGPT staging prompts, and add 52-week email sequences to your CRM. The vault delivers viral TikTok/Reel scripts plus FSBO and expired listing scripts, with instant digital access and lifetime updates. It works with ChatGPT, Midjourney, and other models, turning hours of work into seconds.
AgentSolar is a data-driven AI platform that helps homeowners find the right solar solution at the right price. Trained on millions of solar quotes, it sets fair prices, analyzes quotes, benchmarks them against real market data, and can negotiate better deals so you don’t overpay.
An embeddable store locator for brands selling through retail partners. It works on any website via a single script tag. Every customer search is captured automatically—city, product, and retailer—and 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 […]
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 anything—why does garlic turn bitter, what does salmon do for inflammation, how do you get a perfect sear—and 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 Google Engineer Explains ‘Black Box’ AI Models In Search 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 doesn’t record sessions or change how you work. It’s designed to fit into your existing workflow and reduce the time spent on documentation, especially at the end of a long day.
It’s 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 app’s 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 platform’s ad business drove a 69% year-over-year revenue increase to $663 million for the first quarter of 2026.
Data shows YouTube, Reddit, and aggregators lost US search visibility after Google's March core update, while brand and government sites gained.
The post Google’s 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 […]
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 world’s questions, Ask.com officially closed on May 1, 2026.“To the millions who asked…”
We are deeply grateful to the brilliant engineers, designers, and teams who built and supported Ask over the decades. And to you—the millions of users who turned to us for answers in a rapidly changing world—thank you for your endless curiosity, your loyalty, and your trust.Jeeves’ 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.com’s 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 that 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, […]
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 […]
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 €50-300K per year and cover 1-2 axes. APOLLO covers all four: Risk, Compliance, Data Protection, and AI Readiness, at under €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 […]
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 […]
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 — 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 — 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 Knight’s 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 […]
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 you’re dealing with millions of units being shipped in a calendar year, there’s always a chance that an owner ends up with an ‘odd one out’ and, sadly, an M5 MacBook Pro that was only two days old was completely dead when a spark formed due to the machine’s hinge movement. The M5 MacBook Pro’s failure will definitely be an interesting case for Apple’s engineering team, but a YouTuber has […]
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 […]
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 […]
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 […]
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 […]
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 […]
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, that’s 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 it’s 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 1–30GB 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 doesn’t 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 […]
Read full article at https://wccftech.com/ryzen-9-pro-9965x3d-cpu-leak-amd-first-16-core-pro-cpu-with-3d-v-cache/
Halo leaker RebsGaming reports that Halo Studios is already working on remakes for the second and third installments in the sci-fi first-person shooter franchise. Halo 2 and Halo 3 are currently in early development, presumably powered by Unreal Engine 5 like the first game's remake; this builds on a previous claim from a former Halo Studios developer, and is now backed by two additional sources, one of whom provided verification to RebsGaming and confirmed the trilogy remakes will proceed regardless of how well the upcoming Halo: Campaign Evolved performs. A separate source (the same one who leaked an unreleased Campaign […]
Read full article at https://wccftech.com/halo-2-halo-3-unreal-engine-5-remakes-reportedly-in-development/
Koopic is a CAASM platform built for security teams who need a complete, trusted asset inventory. It pulls data from every tool in your stack — EDR, MDM, CMDB, cloud, on-prem — and merges it into one golden record per device. Shadow IT surfaces automatically, coverage gaps become visible, and exceptions are tracked.
The result is a near real-time picture of your full environment so you can see real risk and prioritize what to fix next. No spreadsheets, no six-figure contracts, no black-box merging. Start free in minutes.
Live3D offers an online AI image editor that lets you transform photos with simple text instructions. Change hairstyles, poses, backgrounds, lighting, and text while keeping faces and identity consistent. Make precise, localized edits, choose from multiple AI models such as Seedream 4.5 and Nano Banana variants, and export in many sizes. Upload your image, describe the change, generate results in seconds, and download the final version.
Chip manufacturer Samsung is experiencing strong demand for its 4-nanometer process due to strong demand from the memory market, suggests a report in the Korean press. The details suggest that Samsung Foundry has secured orders that extend into 2027's production, and according to a source, the 4-nanometer process' stability has played a role in ensuring the strong demand. Samsung Foundry Purportedly Experiencing Strong Demand For Its 4-nanometer Chip Manufacturing Process Today's report is the second over the past couple of days that claims high yields for Samsung's 4-nanometer manufacturing process technology. This technology, dubbed SF4, began mass production in 2021 […]
Read full article at https://wccftech.com/hot-memory-demand-pushes-samsungs-chip-making-business-to-profitability-report/
PropSyncX lets you manage and copy trade multiple funded futures accounts from a single, clean dashboard. Connect TopstepX, Tradovate, Rithmic, and NinjaTrader, place one trade, and replicate it across accounts in under 100ms while still controlling each position independently with per-account TP/SL brackets. Trade on built-in TradingView charts with drag-and-drop stops, real-time market data, a multi-account P&L view, and a built-in trading journal to track performance.
Most creators skip video because filming is a pain. Kinova fixes that. Describe what you want, and our AI video agent produces clips with consistent characters and professional voiceover. Go from idea to published video in minutes.
Concordance delivers SDLC intelligence to observe, govern, and improve engineering. It connects to GitHub, GitLab, Bitbucket, Jira, and Linear with read-only OAuth and scans commits, PRs, branches, workflows, and issues to score 50 protocols across requirements, design, development, testing, release, and operations.
Get per-team maturity scores, audit-ready evidence mapped to SOC 2, ISO 27001, NIS2, and CRA, AI-active repo detection, and deployment risk gates. Start free for one team; upgrade for compliance, AI governance, and risk lenses.
open source agent engineering platform
Ultimate career toolkit for UX/UI & Product designers
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The missing open-source Kubernetes UI
Catch when coding agents break each other before merge
The fitness tracker for your car
StillDeck is a free browser-based Klondike solitaire game for people who just want to play cards without pop-ups, accounts, or app installs. Open the site on any device and start playing immediately. It includes Draw 1 and Draw 3 modes, an undo button, move counter, and auto-complete for finishing solved games. The interface is minimal and distraction-free. StillDeck is available in 19 languages and works on desktop, tablet, and mobile—all from a single URL.
The Buildsheet is a platform for car enthusiasts to track and share vehicle builds. Create a buildsheet, log mods with photos and notes, and organize parts and updates. Explore a feed by make, model, or build type, follow projects you love, and message builders. Membership starts at $1.99/month with the first month free to support hosting and community features.
Pantr AI is a visual workspace for generating and editing images on an infinite canvas. Build directions with drag-and-drop references using the @ system, iterate with regenerate, crop, expand, and animate, and keep every variation in view. It runs on Gemini 3.1 Pro for high-quality results, includes a Creative Director that sees your canvas to help with prompts, and uses pay-as-you-go credits that never expire.
Every major shopping tool today answers one question: where can I get this cheaper? Nobody answers the harder question: is this product actually worth buying? IMO fills that gap. Our AI agents analyze thousands of verified owner reviews, filtering out fake, incentivized, and early honeymoon ratings, to tell you what real owners discovered after months of daily use. Our Electronics Specialist agent VOLT provides an IMO Score (0–100) based on owner satisfaction, durability, value ratio, and defect frequency, plus the #1 hidden flaw mentioned by 847 reviews that the product page never will. All of this is available in under 10 seconds, free, on WhatsApp.
RenovateIndex provides regional renovation cost estimates for Canadian homeowners, adjusted for provincial labour rates using Statistics Canada BCPI data and city-size modifiers from CMHC. You can browse 50 services across 55 cities to see budget-to-premium ranges, component breakdowns, and cost factors to help plan and sanity-check contractor quotes. The site details its methodology and publishes insights for homeowners and contractors.
FPLai provides AI-powered analysis for Fantasy Premier League managers. Connect your squad to see prioritized transfers, captaincy picks, and a data-backed starting XI tailored to your budget and remaining moves. Elite Pulse tracks Top 1k activity so you can act before the crowd.
Use Team DNA to visualize strengths, risk profile, and trends, then monitor injuries and price changes to avoid surprises. Track rank progression, compare against rivals, and turn every gameweek into a clear, confident plan.
MakeInfographic is an AI infographic generator that turns a simple prompt into a finished, editable design. Describe your topic, pick a layout and visual style, then download or refine the result. It supports timelines, comparisons, processes, pyramids, explainers, and statistical layouts, plus style shifts like clean, sketch, comic, clay 3D, and isometric. Create platform-ready variations for X, TikTok, Pinterest, Instagram, and more. Free exports include a watermark, with 4K available to subscribers.
Well, isn't that unexpected? A Japanese toilet maker has just announced that it will pivot to AI chips, leading to a 18% stock surge. Ceramics Used For Making Toilets Are Now Going To Power The AI Chip Industry Who would've predicted that a company involved in making toilets and other sanitary equipment would start making AI chips? Well, Toto, A Japanese company, has just announced that and is seeing a boost to its stock. The company leverages ceramics for its current operations, but the same ceramics can be used for making components that are critical to AI infrastructure. As per […]
Read full article at https://wccftech.com/from-toilets-to-ai-chips-toto-joins-msg-maker-ajinomoto-as-japans-strangest-beneficiaries-of-the-ai-spending-frenzy/
After having reviewed several portable monitors from Uperfect, I got my hands on the UFree V, a new portable monitor which promises completely "wireless" operation. As soon as I read that, my interest sparked several folds since conventional portable monitors aren't "truly" portable, as you still have to power them using an outlet and connect them to a device. Portable monitors are usually much lighter and thinner than regular desktop monitors, but UFree V brings both a lighter and thinner build, alongside wireless operation. After having tested the UFree V, I have been eager to explain the pros and cons […]
Read full article at https://wccftech.com/review/uperfect-ufree-v-wireless-portable-monitor-review/
MiroFish is an AI simulation chat that predicts outcomes from your what-if questions. It combines seed creation, graph-based simulation, and reporting in a single conversation, so you can stay in chat while it works behind the scenes. Start with text and optionally attach files for context. Each response includes a structured result card with summaries and clear follow-ups, helping you explore shifts in sentiment, narrative spread, and stakeholder reactions across policy, brand, and product scenarios.
Fokal helps founders get found on Google and AI search without the time or cost of a traditional agency. You tell Fokal what your business does, and it handles the rest. It audits your site for technical issues, identifies content gaps, writes publish-ready articles in your voice, pitches editors for backlinks, and monitors if AI tools like ChatGPT, Perplexity, and Google AI recommend your brand.
No SEO knowledge is required. Everything is prioritized and ready to act on, so you always know what to work on next.
Europe is mandating structured e-invoicing for all businesses — Germany from 2027, France from 2026 — and most tools either charge extra for compliance or don't support it at all. Facturwise generates fully compliant ZUGFeRD 2.4 and Factur-X 1.0.8 invoices automatically on every plan including the free one. Beyond compliance, you get multilingual invoices in 6 languages, 30 currencies with live ECB rates, SEPA QR codes, recurring billing, payment reminders, expense tracking, and client management — everything you need to invoice across the EU from one platform.
QNAP has introduced its new AI NAS, which packs a 16-Core AMD EPYC "Zen 2" CPU & can be paired with up to an RTX PRO 6000 Blackwell GPU. Old Meets New In QNAP's "QAI-h1290FX" AI NAS: 16 Zen 2 Cores & 96 GB RTX PRO 6000 GPU The "QAI-h1290FX" is QNAP's latest Edge AI offering that combines two distinct hardware components. But before we get into the details, it should be mentioned that QNAP's latest AI NAS is designed for LLM, RAG, and various GenAI applications. Two components power the server, the first is the AMD EPYC 7302P CPU, […]
Read full article at https://wccftech.com/qnap-pairs-6-year-old-zen-2-epyc-with-nvidia-96gb-rtx-pro-6000-blackwell-in-new-edge-ai-nas/
PawBench helps dog owners find the right gear for their specific dog. It matches recommendations to breed size, coat type, and energy level, rather than just offering generic "best dog beds." For example, it finds the best bed for a 90-lb German Shepherd who sleeps hot or the safest harness for a flat-faced Frenchie.
We've researched 200+ products across 10 categories and written guides for 75 breeds. You can browse by category or by your dog's breed, read side-by-side comparisons, and buy what actually makes sense for your dog, not whatever paid for the top spot.
SegmentFlow is an AI-driven email marketing platform for ecommerce brands. Describe your campaign in plain English and it writes the copy, designs the emails, builds segments, and sends to the right audience. It creates automated journeys and transactional emails, tracks revenue attribution, and supports newsletters and lead magnets. Connect Shopify or WooCommerce in minutes to sync customers, orders, and products, then launch campaigns fast at a fraction of typical costs.
Hi-AI is an affordable all-in-one multimodal AI platform that helps you search the web, draft reports, and create media. Chat by voice or text, then generate and edit images, produce videos, design 3D meshes, and compose songs. Use it to research topics, summarize results, and turn ideas into visuals, animations, and audio.
Moore's Law has slowed down, but progress continues in logic development as a new roadmap points to sub-1nm process nodes around 2034. It will Be Years Before Process Technology Go Sub-1nm, But They Are In Development: 0.7nm by 2034 & <0.2nm by 2046 Process technologies have slowed down as we transition into the Angstrom era. While newer nodes continue to offer uplifts, they are getting expensive to produce as the machinery needed to achieve newer designs comes at higher costs. Furthermore, the reliance on chiplets through advanced package solutions has reduced the need to shift to newer nodes immediately, as […]
Read full article at https://wccftech.com/sub-1nm-process-node-technology-wont-arrive-till-2034-logic-roadmap-2dfets-sub-0-2nm-2046/
AMD has taken a major step toward enabling native open-source HDMI 2.1 support on Linux by submitting new patches for its AMDGPU driver. AMD Moves Closer to Open-Source HDMI 2.1 Support on Linux With New AMDGPU FRL Patches It appears that the HDMI 2.1 support is finally arriving to Linux as AMD has submitted the new Fixed Rate Link (FRL) patches for its AMDGPU driver. This has been one of the longest-standing limitations that affected Radeon GPUs on the platform. There have been years of restrictions tied to the HDMI Forum (Org behind the HDMI standard) policies that prevented upstream […]
Read full article at https://wccftech.com/amd-finally-cracks-hdmi-2-1-on-linux-after-years-of-forum-lockout/
One of the best gaming processors has dropped to its lowest price in 2026, but it's a limited-time deal. AMD Ryzen 7 7800X3D Drops to $324 on Amazon; The Best Gaming Processor for Sub-$350 Price Tag Not just Ryzen 7 9800X3D, the launch of newer and faster processors has resulted in price drops across various Ryzen chips, including previous-gen CPUs. AMD Ryzen 7 7800X3D is still one of the best gaming chips that trades blows with Ryzen 7 9800X3D, but is significantly cheaper right now. While the processor launched at a hefty price tag of $350, it got discounts after […]
Read full article at https://wccftech.com/amd-ryzen-7-7800x3d-hits-its-lowest-2026-price-at-324/
You don't see these deals everyday, and this is one of the craziest ones we have seen so far for the AM5 platform. Redditor Grabs AMD Ryzen 7 7800X3D for Just $145 and Ryzen 5 7600X For Only $75 From Local Walmart The AMD Ryzen 7 7800X3D sells for around $350 on Amazon, which, even though it is significantly lower than its launch price, is still a hefty price tag for most. Being one of the best gaming processors, the Ryzen 7 7800X3D sees huge demand, which is why users are willing to pay over $300 for this chip. However, […]
Read full article at https://wccftech.com/user-walks-out-from-walmart-with-a-ryzen-7-7800x3d-and-7600x-for-just-220/
Today, Pearl Abyss rolled out update 1.5 for Crimson Desert across all platforms except the Mac App Store, which will receive it at a later time. Patch 1.05.00's headline addition is the highly anticipated (and promised) Rematch system, which lets players revisit any of the game's 69 bosses at any time by lighting their lantern at the site of a previous encounter to read a Memory Fragment. The system launches with two modes: Reminisce, which recreates the fight exactly as it was the first time, and Resonate, which scales the boss's stats to match the player's current progression if they've […]
Read full article at https://wccftech.com/crimson-desert-patch-1-5-boss-rematch-pearl-abyss-5m-sales/
Hal9 helps startup founders design, build, and scale AI-powered products without hiring an in-house team. Its fully managed, autonomous AI turns ideas into working chatbots, agents, APIs, websites, mobile apps, and extensions, and handles hosting, monitoring, and updates.
The platform supports any major model, runs securely in isolated Kubernetes pods, and can deploy in your cloud or data center. Experts guide Python-based workflows while AI agents generate code, letting you launch quickly with predictable, startup-friendly pricing.
AMD’s preparing to deliver a “full implementation” of HDMI 2.1 on its Open Source Linux drivers Phoronix has confirmed that AMD has officially implemented HDMI Fixed Rate Link (FRL) into its Open Source Linux GPU drivers. HDMI FRL is part of the HDMI 2.1 standard and enables higher bandwidth display connections. This bandwidth, in turn, […]
The post AMD preps “full” HDMI 2.1 implementation for Linux appeared first on OC3D.
The unibody aluminum chassis of Apple’s MacBook family offers sufficient durability, but it’s always a good practice to carry a bag with plenty of padding for that extra layer of cushioning when you go through airport security. Unfortunately, one event that cannot be avoided is when you’re forced to offload laptops onto a bin, which then goes through a belt during the security check. Sadly, one owner has shown evidence that his MacBook was dented after it fell off that very belt, and the airport staff were the least accommodating about the damage to expensive hardware. Fortunately, there’s a way […]
Read full article at https://wccftech.com/macbook-got-damaged-during-airport-security-staff-least-bothered/
LG Japan has disclosed the official prices for its high-end OLED gaming monitors, as well as specifications on the official Japanese website. LG Japan Starts Taking Pre-Orders for UltraGear 45GX950B-B 5K OLED, Starting at $1,653 and 32GX870B-B at $1081 The LG UltraGear EVO lineup introduced at CES this year is now starting to hit shelves, at least in a few regions. While not available globally at the moment, LG Japan has started taking pre-orders for two models in the LG UltraGear EVO lineup. This includes the flagship 45-inch UltraGear EVO AI 5K2K 45GX950B-B gaming monitor, as well as the 32GX870B-B, […]
Read full article at https://wccftech.com/lg-japan-starts-taking-pre-orders-for-ultragear-45gx950b-b-and-32gx870b-b/
TSMC's next-generation A16 or 1.6nm process tech will be the start of its "Angstrom Era" journey, delivering improved performance/power profiles versus 2nm. Angstrom Era For TSMC - A16 Process Tech Offers Better Performance/Power Profiles Versus 2nm While Adding Backside Power At the 2026 VLSI symposium, TSMC will be presenting its A16 process node technology. A16 is part of TSMC's Angstrom era family of nodes, which includes A14 and the recently announced A13 & A12. In a preview provided by VLSI of the upcoming paper titled "T1.5", TSMC restates the performance/power profile advantages. One of the biggest features for A16 will […]
Read full article at https://wccftech.com/tsmc-a16-node-promises-speed-boost-power-cut-over-2nm-backside-power-production-q4-2026/
YTVidHub lets you download and clean YouTube subtitles at scale. Use the Chrome extension for one-click downloads, or paste video, playlist, or channel links on the site to bulk extract transcripts, generate AI summaries or mind maps, and export SRT, VTT, or clean TXT for research and editing. It strips timestamps and formatting to produce model-ready text, supports multiple languages, and includes daily free credits so you can test the pipeline before upgrading.
Rankoup is a community-ranked marketplace where listings rise through votes, interest, and quality. Buyers can upvote listings, discover standout items across categories, and message sellers directly. Sellers gain early exposure and visibility without relying on ad budgets, making it easier to reach engaged buyers globally.
Alphabet and Microsoft earnings show search ad revenue growing while Google Network revenue fell to $6.97B, continuing a multi-quarter decline.
The post Google & Microsoft Earnings Show AI Search Revenue Surge appeared first on Search Engine Journal.
Apple’s Mac Mini just became a lot less affordable Apple has removed the cheapest Mac Mini option from its global storefront, significantly raising the baseline pricing for the system. Previously, Apple’s baseline Mac Mini had 16GB of unified memory and a 256GB SSD and cost £599/$599. Now, the system’s baseline configuration has 16GB of memory […]
The post Apple raises Mac Mini prices by removing 256GB option appeared first on OC3D.
Valve's Steam Machine was supposed to be an affordable gaming PC for the living room. Rising memory and storage prices have turned that dream into a pricing nightmare.
Tenstorrent made a bold claim during their TT-Deploy livestream, saying they are going to crush everyone at everything, including AI, with their Galaxy servers. Tenstorrent Galaxy Supercluster Offers 10x Faster GenAI Video, And Destroys Current-Gen GPUs With "Blitz Mode", Offering 350+ Tokens/s In DeepSeek R1 Jim Keller and his Tenstorrent are on a mission to challenge the existing AI hierarchy with their RISC-V-powered platforms. As such, the company unveiled its latest Galaxy Blackhole servers for AI at scale. With Galaxy Blackhole, Tenstorrent offers a fully Networked and native AI solution that includes compute, memory, and networking, all unified into a […]
Read full article at https://wccftech.com/tenstorrent-vows-to-crush-everyone-galaxy-blackhole-hits-350-tokens-on-deepseek-r1-undercut-nvidia-gb300-ai-tco/
CPUs or GPUs, but require lots of memory for running Agentic AI, and this demand is spiraling to unseen levels as DRAM constraints persist. CPUs Running Agentic AI Will Be Equipped With Up to 400 GB of Memory, Further Crushing The DRAM Supply Chain Memory makers are earning big profits but are also unable to meet the demand. We have seen reports on how major manufacturers are rapidly expanding their production facilities, but these are yet to become operational, and Samsung itself has stated that 2027 will be worse for the DRAM industry than 2026, so it's looking like a […]
Read full article at https://wccftech.com/agentic-ai-pushes-cpus-to-pack-400-gb-of-memory-4x-more-than-today/
Rehinged Healthcare helps post-acute sales teams identify providers that need their products by ranking facilities using 150+ CMS and Medicare clinical, staffing, and operational signals. Describe your ideal account, then filter, score, and export prioritized nursing home and prescriber lists in seconds.
The platform updates monthly with verified datasets, requires no IT integration, and covers over 80,000 post-acute providers and 1.1 million Medicare prescribers, so you can focus outreach on high-fit accounts.
Domily is a rental platform for Germany that treats landlords and tenants fairly. You can list properties or find apartments with one-time, pay-on-success pricing—no subscriptions or auto-renewals. Create listings in plain English, schedule viewings, and review applications with clear summaries and verified documents. Manage everything from a single dashboard with real-time notifications, capped applications, and direct dispute resolution. Launching Q2 2026, credits never expire and only active, verified listings go live.
ChatGPT Free lets you chat with advanced AI models without login or limits. Use it to write content, translate languages, research topics, and get coding help. Access ChatGPT, Gemini, Claude, Grok, DeepSeek, and Qwen in one place for fast, accurate responses on mobile or desktop.
Surmado offers Scout, an AI research analyst that checks how search engines and AI models talk about your business, then sends clear reports, fixes, and content ideas by email. You can ask for site audits or AI visibility checks and get prioritized recommendations without learning a new dashboard. Scout also rebuilds your existing website by applying fixes, tweaking content, optimizing SEO, and tightening your messaging so your brand shows up more clearly in AI results and customer searches. Plans work for small businesses and agencies, with pay‑as‑you‑go or monthly options. White label and API are available.
StudyPass helps you pass your citizenship test on the first try. It uses official government questions and matches real exam formats, then explains each answer to help you understand the civics behind it.
You can track your strengths and weaknesses, practice by category, and save progress across devices. Start free for the US, UK, Canada, and Australia with up-to-date 2026 question banks, with more countries coming soon.
Most privacy scanners only list cookies. SecureSpells analyzes real runtime behavior to detect GDPR risks they miss, like pre-consent scripts, hidden trackers, and risky third-party flows. Each issue includes a clear risk score, technical fix instructions, and direct GDPR references. Built for developers, agencies, SMEs, and DIY website owners who care about GDPR compliance and want real answers, not just cookie lists. Run a free scan in seconds with no signup required.
Organize Your Files With AI
Dedicated space to bring your personal health data together
Photo editor with local AI
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A quiet Pomodoro that lives in your menu bar.
Build an entire business by texting
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A dedicated cloud machine for bots and software
emailho.me centralizes your team's project emails in shared rooms you CC on messages. Each room gathers threads into a searchable timeline where everyone stays aligned, with notes, @mentions, instant notifications, and daily digests. With Pro, you can reply from the timeline via your Gmail, use AI to summarize long threads and auto-tag messages, and manage attachments. Data is encrypted with AES-256, hosted in the EU, and fully GDPR compliant.
Validue exists because too many founders spend six months building something nobody wants, often due to untested assumptions. You assumed people would pay, assumed they'd switch, or assumed the problem was urgent enough. Validue makes those bets visible before you build. Describe your idea in plain English, and AI extracts the specific assumptions you're betting on.
Photo Poodle is a guest photo sharing platform for weddings and events that turns attendees into active contributors. Instead of passively asking people to upload photos, Photo Poodle uses fun, real-time prompts and challenges to guide guests on what to capture, making it easy and engaging to collect every moment.
Guests simply scan a QR code, follow playful photo ideas, and upload instantly — no app required. The result is a complete, shared album filled with candid, diverse perspectives, without chasing guests or hiring a professional photographer.
Claimful lets you create simple and beautiful claim pages that deliver files or links instantly after signup and capture emails without a website. It offers indexed profile pages to showcase all shared resources beautifully. Share a clean link anywhere, watch leads flow in, and track views, signups, and conversions. Get alerted on new signups and export your email lists for your use case.
Real Estate Ledger is a digital property document management platform, like a CARFAX for homes. Upload any record, such as warranties, permits, leases, inspections, invoices, or maintenance logs, and AI automatically categorizes it. The Property Guidebook generates professional, shareable reports for buyers, lenders, and insurers. Every document is fingerprinted with Digital Evidence to create an immutable, tamper-evident history that builds trust and increases property value.
It is built for homeowners, real estate investors, builders, agents, and HOAs. The free plan covers up to 10 properties with all core features and requires no credit card.
Keep your groups connected—family, friends, and teams—in one app. Grūps brings together group chat, calendaring, communications, events, bookings, maps, and more. Run threaded conversations, create newsletters and announcements, share albums, and make quick decisions with polls and Q&As. Configure your notifications for push, email, or SMS.
Built for iOS, Android, and web on a web-native stack, Grūps gives group admins full control: add or remove features, customize the look and feel, set role-based permissions, and decide what's public versus private. Everything is behind authentication by default. No ads. No data mining. No tracking.
Google's Preferred Sources is now available as a global signal that can help SEO for Top Stories and Google Discover.
The post Google’s Preferred Sources Is Now A Global SEO Signal appeared first on Search Engine Journal.
Gemini Pro is an AI image and video generator that turns text prompts and photos into 4K images and cinematic videos. The platform includes models like Veo, Sora, Kling, Wan, Flux, Seedream, and GPT Image, supporting text-to-image, image-to-image, text-to-video, and image-to-video workflows. You can guide results with reference images and aspect ratios, create quickly, and download outputs for commercial or personal use.
Tanso helps AI companies understand which customers and features are truly profitable. It wraps your LLM calls and joins usage costs with Stripe revenue to show margins per customer, per feature, and per model in real time. With a single instrumentation step, you get clear cost attribution, live revenue sync, and actionable alerts. Route traffic from expensive models, set cost thresholds, and flag at-risk customers to protect margins. Tanso integrates with OpenAI, Anthropic, and Stripe to replace spreadsheets with decision-ready metrics.
Google's web.dev guidance advises developers to treat AI agents as a distinct visitor type and recommends practices similar to accessibility practices.
The post Google Tells Developers To Build For AI Agents, Not Just Humans appeared first on Search Engine Journal.
The iPhone 20 will switch to a design that Apple has never attempted before, involving a quad-curved display that, when combined with the company’s Liquid Glass UI, introduces a seamless visual appearance that offers an illusion of a bezel-less form factor. As expected, developing this display is no easy feat, which is why only one manufacturer is taking on this responsibility. However, an exclusive OLED deal could make things expensive for Apple as it will require a premium that’s being paid to the supplier. Also, if things weren’t bad enough, Apple CEO Tim Cook has warned that its DRAM stockpile is […]
Read full article at https://wccftech.com/apple-iphone-20-could-be-ludicrously-expensive-due-to-dram-and-oled-deal/
Since Asha Sharma took over as the new chief executive officer of Xbox, the most immediate change she made was to make Xbox far more communicative than it had previously been between its executives and Xbox players. Now, that same courtesy is being extended to developers, or at least it is in a more public fashion, and it's starting with a popular topic: Project Helix. Today, Xbox revealed the Game Dev Update, a new kind of premiere event that's not a showcase of upcoming games or hardware, but is instead speaking more directly to the game developers working with or […]
Read full article at https://wccftech.com/xbox-game-dev-update-show-project-helix/
LeadClaw is an AI-powered outreach assistant for service businesses. It finds local prospects via Google Maps, directories, and web data, writes personalized emails in your voice, and follows up automatically. It handles replies around the clock and CCs you when a lead shows interest so you can close. You get daily briefings with opens, replies, and next steps, and setup takes minutes with a dedicated assistant email.
Microsoft Advertising is expanding its Performance Max reporting with publisher-level conversion and spend data — giving advertisers more visibility into where results are actually coming from
What’s happening. According to Microsoft Ads Product liaison Navah Hopkins, the PMax Website Publisher URL report now includes conversion and spend metrics, moving beyond basic placement visibility into actionable performance data.
This gives advertisers clearer insight into which placements are driving real outcomes — not just impressions or clicks.
Why we care. This update gives advertisers visibility into which placements are actually driving conversions and spend — not just impressions. That means better optimisation decisions, from scaling winning inventory to cutting wasted spend. It also makes it easier to trust and justify Performance Max performance with concrete data, rather than relying on aggregated reporting.
How advertisers can use it. The update opens up several practical use cases. High-performing placements can now inform Audience Ads strategies, such as building remarketing campaigns or impression-based audiences from winning inventory.
At the same time, advertisers can identify poor-fit placements and exclude them using account-level URL exclusion lists, helping protect brand safety and improve efficiency.
Between the lines. This is another step toward making automated campaigns more transparent. Rather than replacing control entirely, platforms are starting to give advertisers clearer signals on what’s working — and where to act.
What to watch:
Bottom line. With conversion and spend data now visible at the placement level, Microsoft is making Performance Max a little less of a black box — and a lot more actionable.
After revealing its release date yesterday, Subnautica 2 developer Unknown Worlds has revealed the PC system requirements for its upcoming underwater deep-sea exploration survival adventure. Overall, the requirements arrive at a sort of middle ground for today's games, but they are far above what you'd need to play the first game. So much so that depending on when you last upgraded your PC, you might have to go diving for some extra RAM just to meet its requirements for the recommended minimum settings. Subnautica 2's minimum requirements call for a base of 12GB of RAM, to play the game at […]
Read full article at https://wccftech.com/subnautica-2-pc-requirements/
Just a day after warning about Mac Studio and Mac mini supply remaining constrained for a number of months ahead, Apple has apparently discontinued the base Mac mini globally, as advanced node capacity and memory price inflation emerge as potent bottlenecks. Apple discontinues the base Mac mini as TSMC's advanced node capacity and the ongoing memory inflation begin to bite The base variant of the Apple Mac mini, which sported the M4 chip, 16GB RAM, 256GB of storage, and a retail price of $599, has now been pulled from the configurator in the US and other key global markets. Do […]
Read full article at https://wccftech.com/apple-discontinues-the-256gb-mac-mini-just-a-day-after-warning-of-a-memory-apocalypse/
APX or Advanced Performance Extensions are the next evolution of x86 as Intel & AMD co-develop new standards for the architecture. APX Expands the x86 Instruction Set, Bringing Faster Performance & New Features That Will Benefit Both Intel and AMD's Next-Gen Chips Two days ago, we talked about ACE (AI Compute Extensions), which is a unified instruction set that aims to increase matrix-multiply performance for next-gen x86 chips. ACE is just one part of the grander scheme in which both Intel and AMD are working together to evolve the x86 architecture under a single unified framework through the recently established […]
Read full article at https://wccftech.com/intel-amd-work-on-apx-the-next-major-step-in-the-evolution-of-x86-architectures/
After KRAFTON's disappearance from the Subnautica 2 Steam page spurred speculation that KRAFTON would no longer be publishing the game and that perhaps developer Unknown Worlds could be looking to split from the publisher in the future, the studio has cleared the air. In an interview with Eurogamer, two members of the Unknown Worlds team were able to provide some clarity and insight on the situation, the long and short of which is that yes, KRAFTON is still co-publishing the game. We can only speculate what will happen between Unknown Worlds and KRAFTON in the long-term now that the CEO […]
Read full article at https://wccftech.com/subnautica-2-krafton-steam-page-unknown-worlds-co-publishing/
Filla helps Airtable teams build forms that do more than collect submissions. Forms sync with your Airtable schema, support linked records, and use conditional logic so submissions can create or update records correctly. Filla also includes built-in processors to validate emails, detect duplicates, transform data, and trigger follow-up actions automatically. That lets teams move from form submission to a completed workflow without using extra tools.
Fingine models your business and personal money to turn any decision into clear runway math. It keeps a typed model of cash, MRR, headcount, opex, and fundraise plans, and runs every what-if through a deterministic server-side calculator. You get a transparent “show the math” breakdown of cash, burn, and formulas, with consistent results, strong security, and support for multiple currencies. Use it for founder finance or life decisions, all on the same engine.
AMD's powerful Ryzen AI Halo Mini PC is reportedly launching in June and features the top Ryzen AI MAX+ 395 SoC. AMD's Powerful & Compact "Ryzen AI Halo" Mini PC Is Expected To Launch Next Month AMD recently hosted its AI Dev Day in San Francisco, where it once again showcased the Ryzen AI Halo Mini PC. A Reddit user, 1ncehost, has posted pictures from the event where Jack Hyuh was holding in the Mini PC, and based on the information, AMD is expected to launch the Mini PC in June, which is next month. The company didn't state any […]
Read full article at https://wccftech.com/amd-aims-ryzen-ai-halo-mini-pc-at-nvidia-dgx-spark-targets-june-launch/
Kingdom Come: Deliverance makers Warhorse Studios hosted a Reddit AMA yesterday, and while the positive side of the event included confirmation that it is working on "a huge immersive RPG," several of the questions instead focused on allegations that the studio fired one of its translators after his role was made "obsolete in favor of using AI for all translations going forward." At the time of the allegations, Warhorse's response was that it "has always been a talent-driven studio, and we deeply value the people who shape our work. Out of respect for the privacy and dignity of both current […]
Read full article at https://wccftech.com/warhorse-studios-does-not-see-ai-as-substitute-for-humans-following-fired-translator-allegations-kingdom-come/
A few weeks ago, Mundfish released Blood and Crystal, the fourth and final DLC for its debut game, the single player first-person shooter Atomic Heart. The game was very successful (it surpassed 10 million users about a year ago) and opened up a whole franchise, with an MMORPG spin-off titled The Cube and a full-fledged sequel with a much bigger world and an expanded RPG layer, as we discovered in our previous interview with Mundfish founder and CEO Robert Bagratuni. Today, we have a fresh Q&A to publish. This time, it's focused on Blood and Crystal, the significance of Atomic […]
Read full article at https://wccftech.com/mundfish-atomic-heart-lessons-atomic-heart-2-cube-mmo/
GetTheGists is a Chrome extension that reads any article, paper, or post and delivers the gist, why it matters, and the few parts worth your time. It processes pages securely, previews locally, and never stores content or trains on your data. Start with 3 free summaries, then upgrade for higher limits and follow-up questions. Use it to decide what to skip, what to read in full, and save hours across compliance docs, academic papers, and long-form web content.
Microsoft… Now’s a bad time to ask Windows users to upgrade their memory Microsoft has raised the bar. 16GB of RAM is no longer what’s recommended for gaming. Now, 16GB is a “practical starting point“, with Microsoft recommending 32GB for a “no worries” gaming experience. This documentation was first spotted by Windows Latest. Microsoft now […]
The post Microsoft recommends 32GB or RAM for Windows 11 gaming as a “No Worries” standard appeared first on OC3D.
Google is enforcing a hard cutoff for older API versions, meaning advertisers and developers who don’t upgrade risk losing access to critical campaign management tools.
What’s happening. Google Ads API v20 will officially sunset on June 10, 2026. From that date onward, all requests to v20 will fail, requiring migration to a newer version to maintain uninterrupted API access.
Why we care. If you rely on the Google Ads API and don’t upgrade in time, automated workflows — including reporting, bidding and campaign management — could suddenly stop working. This could lead to data gaps, performance issues and operational disruption. Migrating early ensures continuity and avoids last-minute fixes that can impact campaign performance.
What to do. Google is urging users to upgrade as soon as possible and provides resources like release notes and upgrade guides to support the transition. Developers can also use the Google Cloud Console to review recent API activity, including which methods and versions their projects are calling.
Between the lines. API sunsets are routine, but the impact can be significant for advertisers relying on custom scripts, tools or third-party platforms. Missing the deadline could disrupt reporting, bidding or campaign automation workflows.
The bottom line. This is a firm deadline with real consequences: upgrade to a newer Google Ads API version before June 10 or risk losing access entirely.
As we officially move closer towards 2026 being half-over, global analytics firm Newzoo's latest monthly report provides an insight into which of the biggest releases in March 2026 drove engagement and revenue, and which of this year's releases are at the top of the charts one quarter into the year. Unsurprisingly, it's Crimson Desert, Pokémon Pokopia, and Resident Evil Requiem at the top of the charts. All three games are at the top of the chart for best-selling games by revenue between January and March 2026. Requiem sits at the top, followed by Crimson Desert in second and Pokopia in […]
Read full article at https://wccftech.com/crimson-desert-pokemon-pokopia-dominate-pc-console-revenue-charts-march-2026-newzoo/
NVIDIA is discontinuing its older Jetson developer modules due to shortages and rising prices of LPDDR4 memory. Higher LPDDR4 Prices & Memory Shortages Affect SBCs Too, as Older NVIDIA Jetson Modules Now Being Phased Out NVIDIA's Jetson modules are embedded platforms that are designed for robotics and Edge AI workloads. Think of them as NVIDIA's Raspberry Pi solutions. These SBCs or Single-Board Computers come in various shapes and sizes, all featuring a compact form factor. But in light of recent memory shortages & increasing prices, NVIDIA's partners are now phasing out older Jetson modules. The models that have been affected […]
Read full article at https://wccftech.com/nvidia-discontinues-old-jetson-modules-with-lpddr4-as-memory-prices-supply-worsen/
Although Final Fantasy VII Remake Part 3 has yet to be formally announced, there's a very solid chance the conclusion of the remake trilogy will not release too far in the future. Director Naoki Hamaguchi recently confirmed to Nintendo Life that the team wants to capitalize on the momentum of the launch of the Nintendo Switch 2 and Xbox Series X|S ports of the first two entries in the series. "With large-scale titles like this one, it’s common for a long gap to exist between the first and second instalments. However, because they were ports, we decided we could deliver […]
Read full article at https://wccftech.com/final-fantasy-vii-remake-part-3-not-far-ports-momentum/
Greedfall and Steelrising maker Spiders having to close its doors after its parent company Nacon reportedly failed to find a buyer for the studio can seem like just a really unfortunate breakdown for the French studios from an external view when looking at the last few months. But that's not the case, at least according to French union Syndicat des Travailleureuses du Jeu Vidéo (STJV), who claim that the shutdown has less to do with the recent insolvency filings and more to do with alleged willful mismanagement. "Spiders' liquidation has been ordered on April 29. In a few weeks, the […]
Read full article at https://wccftech.com/french-union-calls-for-boycott-of-nacon-and-spiders-games-following-studio-closure/
The bar has been raised and the 16 GB is no longer the "recommended" RAM capacity for PC gaming, at least as per Microsoft. Microsoft Recommends 32 GB for No-Compromise Gaming Experience; Calls 16 GB RAM as "Baseline" Nearly 10 years ago, 8 GB RAM would be sufficient for gaming systems, but as games, apps, and OS became more memory hungry, the bar was raised to 16 GB. 16 GB RAM is still a decent capacity for most gaming PCs, considering such systems don't have many problems with executing background tasks while more intensive tasks, such as games, are running […]
Read full article at https://wccftech.com/microsoft-calls-32-gb-the-new-no-worries-standard/
Warmly.cards is an AI-powered platform for creating and sending deeply personal digital cards quickly. Instead of picking generic templates, you describe the moment — a birthday, a tough day, or a random “thinking of you” — and Warmly helps you craft a message and design that feels like you. Each card is unique, combining AI-written content with customizable visuals to create something meaningful, not mass-produced. Warmly helps you show up for people with authenticity, even when you don’t have the perfect words.
Resident Evil’s getting a new live-action film The Resident Evil series is incredible, at least when it comes to video games. When it comes to movies, especially live-action ones, the series is very hit-or-miss. This year, a new live-action Resident Evil movie is in the works, directed by Zach Cregger, the director of the critically […]
The post Capcom’s new Resident Evil movie receives its first official trailer appeared first on OC3D.
I’ve built 10+ SEO agent skills in 34 days. Six worked on the first try. The other four taught me everything I’m about to show you about the folder structure most LinkedIn posts about AI SEO skills gloss over.
What makes these agents reliable isn’t better prompts. It’s the architecture behind them. Here’s how to build an agent from scratch, test it, fix it, and ship it with confidence.
Here’s what a typical “AI SEO prompt” looks like on LinkedIn:
LoginYou are an SEO expert. Analyze the following website and provide a comprehensive audit with recommendations.That’s it. One prompt. Maybe some formatting instructions. The person posts a screenshot of the output, gets 500 likes, and moves on. The output looks professional. It reads well. It’s also 40% wrong.
I know because I tried this exact approach. Early in the build, I pointed an agent at a website and said, “find SEO issues.” It came back with 20 findings. Eight didn’t exist. The agent had never visited some of the URLs it was reporting on.
Three problems kill single-prompt skills:
If your skill is a prompt in a single file, you don’t have a skill. You have a coin flip.
The SEO toolkit you know, plus the AI visibility data you need.
Every agent in our system has a workspace. Think of it like a new hire’s desk, stocked with everything they need. Here’s what the workspace looks like for the agent that crawls websites and maps their architecture:
agent-workspace/
AGENTS.md instructions, rules, output format
SOUL.md personality, principles, quality bar
scripts/
crawl_site.js tool the agent calls to crawl
parse_sitemap.sh tool to read XML sitemaps
references/
criteria.md what counts as an issue vs noise
gotchas.md known false positives to watch for
memory/
runs.log past execution history
templates/
output.md expected output structureSix components. One prompt file would cover maybe 20% of this.
I wrote thousands of words of methodology into AGENTS.md. Instead of “crawl the site,” I laid out the steps: “Start with the sitemap. If no sitemap exists, check /sitemap.xml, /sitemap_index.xml, and robots.txt for sitemap references.
Respect crawl-delay. Use a browser user-agent string, never a bare request. If you get 403s, note the pattern and try with different headers before reporting it as a block.”
The agent calls node crawl_site.js –url to analyze website data. It doesn’t write curl commands from scratch every time. That’s the difference between giving someone a toolbox and telling them to forge their own wrench.
This contains criteria for what counts as an issue. Known false positives to watch for. Edge cases that took me 20 years to learn. The agent reads these when it encounters something ambiguous.
Here I keep a log of past runs:
The next execution benefits from the last.
This is where I get specific about the output I want: “Use this exact structure. These exact fields. This severity scale.” Output templates are the difference between getting the same quality in run 14 as you did in run 1.
Let me show you exactly how I built the crawler. It maps a site’s architecture, discovers every page, and reports what it finds.
I provided the instruction: “Crawl this website and list all pages.”
The agent wrote its own HTTP requests, used bare curl, and got blocked by the first site it touched. Every modern CDN blocks requests without a browser user-agent string, so it was dead on arrival.
I built crawl_site.js using Playwright. This version used a headless browser and a real user-agent. The agent calls the script instead of writing its own requests.
This worked on small sites, but it crashed on anything over 200 pages. Because there was no rate limiting and no resume capability, it hammered servers until they blocked us.
I added throttling with a two requests per second default and never every two seconds for CDN-protected sites. The agent reads robots.txt and adjusts its speed without asking permission. I also added checkpoint files so a crashed crawl can resume from where it stopped.
This worked on most sites, but it failed on sites that require JavaScript rendering.
This time, I added a browser rendering mode. The agent detects whether a site is a single-page app (React, Next.js, Angular) and automatically switches to full browser rendering.
It also compares rendered HTML against source HTML, and I found real issues this way: Sites where the source HTML was an empty shell but the rendered page was full of content. Google might or might not render it properly. Now we check both.
This version worked on everything, but the output was inconsistent between runs.
For this version, I added templates/output.md with exact fields: URL count, sitemap coverage, blocked paths, response code distribution, render mode used, and issues found. This way every run produces the same structure.
I also added memory/runs.log. The agent appends a summary after every execution. Next time it runs, it reads the log and can compare results, like “Last crawl found 485 pages. This crawl found 487. Two new pages added.”
Version 5 is what we run today. Five iterations in one day of building.
THE CRAWLER'S EVOLUTION
v1: Raw curl → blocked everywhere
v2: Playwright script → crashed on large sites
v3: Rate limiting → couldn't handle JS sites
v4: Browser rendering → inconsistent output
v5: Templates + memory → stable, consistent, reliable
Time: 1 day. Lesson: the first version never works.The pattern is always the same: Start small, hit a wall, fix the wall, hit the next wall.
Five versions in one day doesn’t mean five failures. It means five lessons that are now permanently encoded. I’ve rebuilt delivery systems four times over 20 years. The process doesn’t change. You start with what’s elegant, then reality hits, and you end up with what works.
Tip: Don’t try to build the perfect skill on the first attempt. Build the simplest thing that could possibly work. Run it on real data and watch it fail. The failures tell you exactly what to add next. Every version of our crawler was a direct response to a specific failure. Not a feature we imagined. A problem we hit.
This is the most important architectural decision I made.
When you write “use curl to fetch the sitemap” in your instructions, the agent generates a curl command from scratch every time. Sometimes it adds the right headers. Sometimes it doesn’t. Sometimes it follows redirects. Sometimes it forgets.
When you give the agent a script called parse_sitemap.sh, it calls the script. The script always has the right headers, always follows redirects, and always handles edge cases. The agent’s judgment goes into WHEN to call the tool and WHAT to do with the results. The tool handles HOW.
Our agents have tools for everything:
The agent decides which tools to use and what parameters to set. The crawler chooses its own crawl speed based on what it encounters. It reads robots.txt and adjusts. It has judgment within guardrails.
Think of it this way: You give a new hire a CRM, not instructions on how to build a database. The tools are the CRM. The instructions are the process for using them.
Here’s a mistake I made early: I put everything in AGENTS.md. Every rule. Every edge case. Every gotcha. Thousands of words.
The agent got confused. It had too much context and it started prioritizing obscure edge cases over common tasks. It would spend time checking for hash routing issues on a WordPress blog.
The fix: progressive disclosure.
Core rules that affect the 80% case go in AGENTS.md. This is what the agent needs to know for every single run.
Edge cases go in references/gotchas.md. The agent reads this file when it encounters something ambiguous. Not before every task. Only when it needs it.
Criteria for severity scoring go in references/criteria.md. The agent checks this when it finds an issue and needs to decide how bad it is. Not upfront.
This is the same way a skilled employee operates. They know the core process by heart. They check the handbook when something weird comes up. They don’t re-read the entire handbook before answering every email.
If your agent output is inconsistent but your instructions are detailed, the problem is usually too much context. Agents, like new hires, perform better with clear priorities and a reference shelf than with a 50-page manual they have to digest before every task.
Every one of these lessons cost me hours. They’re now encoded in our agents’ references/gotchas.md files so they can’t happen again.
I asked the research agent to find law firms and count their attorneys. It made every number up. It had never visited any of their websites.
Only ask agents to produce data they can actually fetch and verify. Separate what they know (training data) from what they can prove (fetched data).
This fix I figured out on day one (use a browser user-agent string to avoid CDN blocks) had to be re-taught to every new agent. Day 34, a brand new agent hit the exact same problem.
Agents don’t share memories. Encode shared lessons in a common gotchas file that multiple agents can reference.
The same prompt can result in different field names: “note” vs. “assessment.” “lead_score” vs. “qualification_rating.” If you run it twice, get two different schemas.
The fix: Create strict output templates with exact field names. Not “write a report.” “Use this exact template with these exact fields.”
The first three audits delivered false positives with total confidence.
The fix wasn’t a better prompt. It was a better boss. A dedicated reviewer agent whose only job is to verify everyone else’s work. The same reason code review exists for human developers.
Every modern CDN blocks requests without a browser user-agent string. The crawler learned this on audit number two when an entire site returned 403s.
All it required was a one-line fix, and now it’s in the gotchas file. Every new agent reads it on day one.
Agents love to construct URLs they think should exist: /about-us, /blog, /contact. Half the time, those URLs 404.
My rule is: Fetch the homepage first, read the navigation, follow real links. Never guess.
Agents marked tasks as “done” when posting their findings. Wrong. “Done” means approved. “In review” means waiting for human verification.
This small distinction has a huge impact on workflow clarity when you have 10 agents posting work simultaneously.
“Fintech” is useless for prospecting because it’s too broad. “PI law firms in Houston” works. Every company in a category should directly compete with every other company.
My first attempt at sales categories was “Personal finance & fintech.” A crypto exchange doesn’t compete with a budgeting app. Lesson learned in 20 minutes.
Unless you want fabricated results. I asked an agent to summarize findings from five separate reports into one document. It invented findings that weren’t in any of the source reports.
Always build data compilations programmatically. Script it. Never prompt it.
The research agent tried to call an API we never set up. It assumed we had access because it knew the API existed.
The fix: Be explicit about what tools are available. If a script doesn’t exist in the scripts folder, the agent can’t use it. Boundaries prevent creative failures.
This is counterintuitive. When you’re excited about building, you want to build the workers. The crawler. The analyzers. The fun parts.
Build the reviewer first. Without a review layer, you have no way to measure quality. You ship the first audit and it looks great. But 40% of the findings are wrong. You don’t know that until a client or a colleague spots it.
Our review agent reads every finding from every specialist agent. It checks:
That single agent was the biggest quality improvement I made. Bigger than any prompt tweak. Bigger than any new tool.
The human approval rate across 270 internal linking recommendations: 99.6%. That number exists because a reviewer verifies every single one.
I’ve seen the same pattern with human SEO teams for 20 years. The teams that produce great work aren’t the ones with the best analysts. They’re the ones with the best review process. The analysis is table stakes. The review is the product.
BUILD ORDER (WHAT I LEARNED THE HARD WAY)
What I did first: Build workers → Ship output → Discover quality problems → Build reviewer
What I should have done: Build reviewer → Build workers → Ship reviewed output → Iterate both
The reviewer defines quality. Build it first. Everything else gets measured against it.Tip: If you’re building multiple agents, the reviewer should be the first agent you build. Define what “good output” looks like before you build the thing that produces output. Otherwise, you’re shipping hallucinations with formatting. I learned this across three audits that were embarrassing in hindsight.
The reviewer catches technical errors. But there’s a higher bar than “technically correct.”
We have a real SEO agency with real clients and a team with 50 years of combined experience. Every agent finding gets validated against one question: “Would we stake our reputation on this?”
Would we actually send this to a client, put our name on the report, and tell the developer to build it?
Below are four tests we use for every finding:
This is our unfair advantage. We’re not building agents in a vacuum. Most people building AI SEO tools have never run a real audit. They don’t know what “good” looks like. We do. We’ve been delivering it for 20 years with real clients. That’s why our approval rate is 99.6%.
You don’t train an agent on real client sites. You build a test environment where you KNOW the answers. We built two sandbox websites with SEO issues we planted on purpose:
The training loop:
Think of it like a driving test course. Every accident on real roads becomes a new obstacle on the course. New drivers face every known challenge before they hit the highway.
The sandbox is a living test suite. Every verified issue from a real audit gets baked back in. It only gets harder. The agents only get better.
Nobody writes about this because it’s boring. But consistency is what separates a demo from a product.
Three things that make output consistent:
If your agent output looks different every run, you need a template file, not a better prompt. I cannot stress this enough. The single fastest way to improve quality for any agent is a strict output template.
A quick note on infrastructure, because the tools matter.
Our agents run on OpenClaw. It’s the runtime that handles wake-ups, sessions, memory, and tool routing. Think of it as the operating system the agents run on. When an agent finishes one task and needs to pick up the next, OpenClaw handles that transition. When an agent needs to remember what it did last session, OpenClaw provides that memory.
Paperclip is the company OS. Org charts, goals, issue tracking, task assignments. It’s where agents coordinate. When the crawler finishes mapping a site and needs to hand off to the specialist agents, Paperclip manages that handoff through its issue system. Agents create tasks for each other. Auto-wake on assignment.
Claude Code is the builder. Every script, every agent instruction file, every tool was built with Claude Code running Opus 4.6. I’m a vibe coder with 20 years of SEO expertise and zero traditional programming training. Claude Code turns domain knowledge into working software.
The combination: OpenClaw runs the agents. Paperclip coordinates them. Claude Code builds everything.
Track, optimize, and win in Google and AI search from one platform.
This process resulted in 14+ audits completed with 12 to 20 developer-ready tickets per audit, including exact URLs and fix instructions. All produced in hours, not weeks.
We have a 99.6% approval rate on internal linking recommendations on 270 links across two sites, verified by a dedicated review process.
We completed more than 80 SEO checks mapped across seven specialist agents. Each check has expected outcomes, evidence requirements, and false positive rules. Every finding is specific (i.e., “the main app JavaScript bundle is 78% unused. Here are the exact files to fix”).
That level of specificity comes from the skill architecture. The folder structure. The tools. The references. The templates. The review layer. Not the prompt.
If you want to build SEO agent skills that actually work, stop writing prompts and start building workspaces. Give your agents tools, not instructions. Test on sandboxes, not clients.
Build the reviewer first. Enforce templates. Log everything. The first version will fail. The fifth version will surprise you.
This is how you turn agent output into something repeatable. The same system produces the same quality — whether it’s the first audit or the 14th — because every step is structured, verified, and encoded.
Not because the AI is smarter. Because the architecture is.
Over the past few years, Performance Max has gone from an opaque experiment to a more capable — though still imperfect — campaign type for B2B marketers.
The fundamentals haven’t changed: skepticism still matters, first-party data is critical, experimentation is non-negotiable, and actionable reporting drives optimization. What has changed is how much better Google has gotten at operationalizing those inputs.
That means your Performance Max strategy needs to adapt. Here are five best practices for running more effective PMax campaigns for B2B today.
In 2022, given the automated nature of PMax campaigns and the aggressive way Google reps were pushing them, I predicted we’d see an accelerated move toward AI integration. That’s certainly played out, probably in part because of competitive pressures introduced by ChatGPT and the like.
AI Max for Search (launched in 2025) and PMax are both being prioritized by Google, and that’s not necessarily a bad thing since Google hasn’t deprecated standard Search campaign for B2B and has provided a slew of helpful updates that make PMax more viable for B2B.
Three updates worth using include:
The SEO toolkit you know, plus the AI visibility data you need.
B2B lead quality in search campaigns has always been a challenge, and PMax’s relative lack of advertiser control makes that challenge tougher. I’ve pushed offline conversion tracking (OCT) since we’ve had that capability, but it’s an absolute non-negotiable for B2B campaigns.
Along with OCT, leverage a relatively new functionality, enhanced conversions for leads, and work around the edges by incorporating reCAPTCHA and testing other mechanisms to reduce PMax spam leads.
Dig deeper: The parts of Performance Max you can actually control
Citing the phase-out of third-party cookies that still hasn’t happened (!), Google officially sunsetted Similar Audiences in 2023, which — well, it was a big loss for advertisers.
To compensate, understand and adapt according to the nature of PMax targeting, which is based on audience signals. Feed the AI high-quality first-party data (CRM lists) and let the algorithm find “lookalikes” through its own internal signals.
CRM lists for B2B are obviously critical, and this should give you even more incentive to clean up and segment CRM data, with audience lists closest to the point of revenue (e.g., SQLs or revenue if you don’t have enough closed-won data to send strong signals), especially valuable for finding high-value new users.
Creative is an important part of the puzzle for PMax. Good creative can prompt the right audience to engage, and great creative can deter the wrong audience from engaging.
Because YouTube is now a massive part of PMax campaigns, video — which has never been a B2B strength — should be prioritized more than ever for performance marketing.
Google has made this easier by adding the ability to build AI-generated assets right in the Google Ads interface. Just recently, they launched an important complementary feature in beta: PMax A/B creative testing to help advertisers understand which creatives are actually driving performance, and to use test-and-control structures to surface winning (and losing) elements.
Dig deeper: Is Google Ads Asset Studio a game changer? Not so fast
A major source of frustration with PMax has been a lack of transparency into results. Over the last few years, Google has introduced reporting updates to address some of those concerns.
Search term insights and auction insights in the Insights tab provide more visibility into performance. Search term insights show how your ads perform for the queries users actually type, including how those ads are being matched and served. This added nuance makes optimization more precise.
Auction insights add competitive context, showing how your campaigns perform against others in the same auctions through metrics like impression share and outranking share.
Finally, asset-level reporting brings visibility to creative performance, with data on impressions, clicks, cost, and conversions for each asset.
Together, these updates give you a clearer view into what’s driving performance — and where to focus optimization efforts.
Track, optimize, and win in Google and AI search from one platform.
Taken together, recent updates make PMax more viable for B2B marketers than it used to be, especially for those with strong first-party data to train bidding algorithms and a need to find new customer pockets.
After more than 10 years in marketing, I still prefer having controllable levers — and I’m not willing to fully trust Google to act more in my (or my clients’) best interests than its own. Use everything at your disposal to make PMax campaigns work for you, and keep an eye out for new features Google releases that can give you more visibility and control over your account performance.
Dig deeper: Auditing and optimizing Google Ads in an age of limited data
Kingdom Come: Deliverance makers Warhorse Studios is indeed working on its next project now that all of the DLC for Kingdom Come: Deliverance 2 is out the door. Unsurprisingly, it'll be another "huge immersive RPG" from the studio, according to the team's content director Ondřej Bittner in a Reddit AMA. But that doesn't totally tell us what the game is. The obvious guess is that it's just the next entry in the Kingdom Come series, but the other popular guess is that the team is working on an RPG set in the Lord of the Rings. That's a rumour that […]
Read full article at https://wccftech.com/kingdom-come-warhorse-studios-working-on-huge-immersive-rpg-lord-of-the-rings-rumour/
JEDEC continues the development of DDR5 MRDIMM memory for next-gen datacenters, now offering increased bandwidth. MRDIMM DDR5 Memory is designed to meet the growing bandwidth & Capacity Demands of AI Datacenters & JEDEC just unleashed its fastest design yet Two years ago, the first DDR5 MRDIMM memory was announced, offering up to 256 GB capacities per module and 8800 MT/s speeds. Now, as AI & datacenter requirements continue to grow, JEDEC is advancing its MRDIMM roadmap ahead with faster modules that operate at speeds of up to 12,800 MT/s, marking a 45% uplift over the initial design. Press Release: JEDEC […]
Read full article at https://wccftech.com/jedec-pushes-ddr5-mrdimm-memory-to-12800-mtps-big-bandwidth-boost-for-ai-datacenters/
The adoption of emergency features on smartphones is made possible thanks to the use of advanced modems, multiple sensors, and improved processing power, but despite Android handsets having access to all three, they are unable to offer the same life-saving additions as Apple quickly enough, which is adversely affecting their market share. According to the latest research, the iPhone maker leads the pack in satellite connectivity, which has become a strong base for getting people out of hairy situations, with the company currently sitting comfortably with a 71.6 percent market share. With nearly one in two smartphones expected to support […]
Read full article at https://wccftech.com/android-smartphone-makers-losing-to-apple-in-satellite-connectivity-market-share/
Google repeats the bounce clicks claim. Alphabet and Microsoft report from the revenue side. More in this week's SEO Pulse.
The post AI Overviews Clicks Get Tested, Earnings Tell Two Stories – SEO Pulse appeared first on Search Engine Journal.
Nvidia’s RTX 3060 12GB will resume production in June, report claims According to a new post on Board Channels (via Videocardz), Nvidia’s RTX 3060 12GB graphics card could return to production in June. The report claims that Nvidia partners like Colorful, ASUS, MSI, and Galax plan to produce new RTX 3060 graphics cards, with mass production starting […]
The post MSI, ASUS, Galax and more are making new RTX 3060 12GB GPUs – report claims appeared first on OC3D.
Programmatic SEO (pSEO) has been viewed with suspicion by the market. For many SEOs, the term is synonymous with low-quality pages, duplicate content, and the old tactic of “find and replace” city names in static templates.
Google’s spam policies on scaled content abuse are clear: generating vast amounts of unoriginal content primarily to manipulate search rankings is a violation.
Modern pSEO replaces mass page generation with an infrastructure that answers thousands of specific search intents with local nuance and semantic depth at a scale that isn’t possible manually.
This blueprint shows how to evolve from syntax-based pSEO (swapping keywords) to semantics-based pSEO (meaning and context), using a methodology we’ve applied to major players in Brazil.
The most common mistake when starting a pSEO project is starting with the template, not the data. The old mindset said: “I have a template for ‘Best Hotel in [City].’ I’ll replicate this for 500 cities.”
The problem? The search intent for “Best Hotel in [Las Vegas]” (focused on nightlife, casinos, and luxury) can be radically different from the intent for “Best Hotel in [Orlando]” (focused on family suites, park shuttles, and pools). The user priorities, amenities sought, and decision-making criteria change completely.
The semantic approach requires us to use AI to granularize content. Instead of just swapping the {{City}} variable, we use LLMs to rewrite entire sections of the page based on the specific travel intent of that destination.
We don’t want to create 1,000 pages that say the same thing. We want 1,000 pages that answer 1,000 unique travel needs while maintaining a scalable technical structure.
The SEO toolkit you know, plus the AI visibility data you need.
Before writing a single line of content, you must answer a critical question: Where do I have permission to rank?
Many pSEO projects fail because they try to cover topics where the domain lacks historical authority. The solution we developed involves a deep analysis of topic clusters based on real Google Search Console (GSC) data, not just third-party search volume.
The authority map methodology works in three stages:
From there, AI suggests themes and direction, taking into account seasonality and brand guide specifications. This approach transforms pSEO from a “gamble” into a tactic of territorial defense and expansion based on proprietary data.
The biggest barrier to AI adoption in enterprise companies is brand consistency. How do you ensure that 500 AI-generated articles don’t sound generic or, even worse, hallucinate information outside the company’s tone of voice?
The answer lies in context governance. Instead of relying on isolated prompts, the pSEO architecture must include a brand guidelines layer that acts as a guardian before text generation. This means systematically injecting:
By centralizing these guidelines in a digital brand guide that feeds all AI agents, we ensure that multiple sites within the same corporate group (such as a retail conglomerate) maintain their distinct verbal identities, even when producing content on the same topic (like Black Friday) simultaneously.
The AI stops being a “junior copywriter” and starts acting as a specialist trained in the company’s culture.
You’ve created 1,000 excellent pages. How do you ensure Google finds and values all of them? The answer isn’t using “related posts” plugins that only look for matching tags. You need to create a strategy based on real data.
You don’t want the user to land on a page and leave. You want to offer the next logical step. Cross-reference search intent with the destination:
Instead of randomness, our analysis works based on semantic meaning. The AI identifies:
The tool suggests links between these pages because the context is relevant, strengthening the site’s Topical Mesh.
In programmatic SEO projects, where site depth can grow rapidly, this automation via vectors is the only way to ensure no good page gets forgotten at the bottom of the index.
This closes the loop of topical authority, ensuring no page generated at scale becomes an orphan page.
Theory is nice, but seeing it in practice is even better. Let’s analyze the case of Ânima Educação, one of the largest private education players in Brazil, with about 310,000 students and 18 higher education institutions.
The National High School Exam (ENEM) is the “Black Friday” of Brazilian education. Search volume explodes in a short period, competition is brutal, and search intents shift rapidly (from “how to study” to “what is my score good for”). Furthermore, Brazil has continental dimensions; the questions of a student in the Northeast are different from those of a student in the extreme South.
Using the semantic pSEO methodology and the brand governance mentioned above, it was possible to structure complete coverage of the candidate journey — from exam preparation to the release of grades.
We ensured that all 18 brands were positioned to answer student questions at the exact moment of the search, respecting local nuances.
Scaling content without scaling technical monitoring is a recipe for disaster. Publishing 500 pages that result in 404 errors, redirect loops, or poor Core Web Vitals (CWV) can destroy the site’s crawl budget.
Modern pSEO requires a layer of real-time technical SEO. It isn’t enough to wait for the monthly report. You need to connect data to the workflow.
The trend now is the use of technical SEO agents — conversational interfaces that allow the professional to ask the data: “Of the 200 pages published today, which ones have indexing issues?” or “Which clusters are suffering from high LCP?”
This closes the cycle:
Track, optimize, and win in Google and AI search from one platform.
Programmatic SEO has ceased to be about volume to become about relevance. Success won’t come from publishing 10,000 pages tomorrow, but from building an infrastructure that delivers genuine value at scale.
You can use this semantic pSEO roadmap to start your transformation:
The future of SEO isn’t about who creates the most content. It’s about who can unite the scale of the machine with the sensitivity of the human to deliver the best answer, at the right moment, for each individual user.
A blind test was conducted by Computer Base, which revealed that gamers often prefer DLSS 4.5 image quality to be superior to FSR 4.1. Out of Seven Games, NVIDIA DLSS 4.5 Wins Six Times in Blind Test Conducted by Computer Base, Suggesting Gamers Believe DLSS 4.5 is Superior to FSR 4.1 NVIDIA DLSS 4.5 is the leading upscaling technology from Team Green, while FSR 4.1 remains the flagship upscaler by Team Red. We have seen how incredibly powerful these upscaling technologies are in terms of visual quality. Unlike previous versions, both offer the best possible visuals through better sharpening, reduction […]
Read full article at https://wccftech.com/nvidia-dlss-4-5-crushes-amd-fsr-4-1-in-blind-test-winning-six-of-seven-games/
NVIDIA pulling out from China's AI market has boosted the share of domestic firms, with Huawei winning the biggest chunk. Huawei's China Market Share in AI to Reach 60% as NVIDIA CEO Confirms Zero Chip Share in China After US Policy Shift The US Government has moved to ban all leading-edge AI chip sales in China. NVIDIA, being the biggest name in the AI industry, has seen its share drop to zero after the policy shift, prompting an increased reliance on domestically produced chips in China. Currently, the situation has prompted China's AI chipmakers to double down on production and […]
Read full article at https://wccftech.com/huawei-biggest-winner-in-china-ai-market-after-nvidia-pullout-60-percent-ai-share-2026/
This week, Roblox Corporation has unveiled Roblox Reality, an ambitious project that aims to deliver a DLSS 5-like AI powered model to level up the visuals available in the popular game creation platform. In the announcement blog post, Senior Vice President of Engineering Anupam Singh described Roblox Reality as a hybrid architecture that splits responsibilities between two components: the existing Roblox Game Engine (running on cloud servers), which handles all authoritative game logic like physics, collision, state synchronization, and player positions, while a new Video World Model (called "Super Upsampler") runs on edge infrastructure powered by H200/B200-class GPUs and handles the visual output, generating […]
Read full article at https://wccftech.com/roblox-reality-ai-photorealistic-engine-dlss5-integrated/
The trial is live, limited to the U.S. for now, and moving faster than you likely expected. ChatGPT ads launched Feb. 9 for logged-in users on Free and Go tiers, with 600+ advertisers already in.
With 800 million weekly active users, a global rollout of ChatGPT ads is a matter of when, not if.
OpenAI has confirmed the next expansion to Australia, New Zealand, and Canada. The latest update from Adthena trialists suggests the UK could see ads as early as mid-May.
We’ve tracked ChatGPT ad placements since rollout. With an index of 50,000+ daily placements across B2B software, ecommerce, fintech, and consumer verticals, we’ve had a front-row view of how this format is evolving. Here’s what we’ve found.
ChatGPT ads appear inline within conversation responses. When you ask something with commercial intent like “best weekend getaway” or “top running shoes under $100,” a sponsored result can appear alongside the AI’s answer, clearly labeled “Sponsored.”
This isn’t a search bar. It’s a conversation. Users arrive already engaged, already researching, often close to a decision.
The format is tighter than traditional search: no sitelinks or extensions — just a headline, short body copy, and a destination.
But here’s what we didn’t expect. Our data shows what we’re calling the Adthena “Double Parked” phenomenon: a single brand appearing twice in the same response.
We spotted New Balance with two separate sponsored placements in one ChatGPT answer. This raises a key question around visibility, frequency, and what it means to own a conversation on this platform.
If you move fast, this is a rare moment: a new format, an uncontested landscape, and data most competitors don’t have yet. Here’s what it shows.
Top-performing brands in ChatGPT don’t repurpose Google ad copy and hope for the best. They write for a conversational, intent-rich environment where users are already halfway through a decision before the ad appears.
Lead with your brand name. Anchor value in specifics. Make low-friction offers central to your creative. If you’re not thinking about context mirroring, you’re leaving performance on the table.
The bigger question is visibility. If your competitors show up in ChatGPT conversations and you don’t, you’re not just missing clicks — you’re missing the conversation.
Knowing the trends is one thing. Knowing what your competitors are doing on your exact prompts is another. That’s the problem we set out to solve.
Right now, ChatGPT ads give you impressions and clicks — nothing more. No competitive context, no prompt-level visibility, no insight into who else appears in the same conversations or where you’re missing coverage. You’re optimizing blind.
Adthena’s ChatGPT Ads Intelligence changes that. Here’s what you get.
The Ads Performance tab gives you a live snapshot of your ChatGPT activity: ad presence rate, top-performing intent group, total impressions, average CTR, and unique competitors detected. The trend chart shows your presence over time so you can clearly see whether you’re gaining or losing momentum.
The Topics and Keywords Analysis view breaks down performance by intent group, showing your ad presence rate against the competitor average. Each group includes a built-in tactical recommendation, so you always know your next move.
The Ads Sampling tab shows all your ChatGPT creatives with their headline, description, image, and format. The insight panel highlights your top-performing creative and surfaces optimization opportunities, like pairing a price anchor with a time-limited offer.
The Competitor Creative Analysis panel breaks down rival ads across your tracked prompts: the images they use, the dominant copy themes, and their format mix. No more guessing what your competition is doing.
The Ads Benchmarking tab shows who’s advertising on your prompts and how their presence changes week to week. The “What changed this week?” feed flags new entrants and share shifts in plain language before your next campaign review.
The Competitor Gap Analysis table shows every prompt where competitors have presence and you don’t, flagged by intent group and competitor count. A clear, prioritized view of where to expand your ChatGPT coverage.
We’re tracking early-stage data from a platform still in limited rollout. As OpenAI expands to new countries and the advertiser base grows, the competitive landscape will shift fast. Brands building their ChatGPT presence now — learning the format, testing creative, mapping competitive gaps — will have a meaningful head start over those who wait.
Don’t let competitors win the first prompt. Join the product waitlist to uncover your ChatGPT ads landscape.
In the meantime, get your ads ready with Adthena’s free ChatGPT AdBridge. Connect your Google Ads account and we’ll build your ChatGPT ads setup with AI-enriched campaigns and smarter negative keywords — delivered to your inbox, ready to import.
Xbox Mode has started rolling out to all Windows 11 PCs Microsoft has officially started rolling out “Xbox Mode” to all Windows 11 PCs, laptops, and tablets in selected regions. This new mode is what Microsoft originally called the “Xbox Full Screen Experience“, which provides a more console-like experience to PC gamers. This mode gives […]
The post Xbox Mode expands to Windows 11 PCs in select markets appeared first on OC3D.
Microsoft’s Spring 2026 Xbox Game Dev update includes an “Introduction to Project Helix” Microsoft is hosting a new “Game Dev Update” event on May 7th, with Xbox calling this event their “first episode”, suggesting that there are more events to come. This developer-focused event will give developers a glimpse at the future of Xbox. This […]
The post Xbox to host “Game Dev Update” event with “Project Helix” introduction appeared first on OC3D.
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