One of the better-known cyberandy. Passionate about Semantic SEO and AI I am co-founder and CEO of WordLift and insideout10.

Rome, Italy
Joined November 2006
A jaguar swam through the Amazon rainforest. A search-based agent filed it under automotive news. It took the first search hit for "jaguar": Jaguar Cars. Today resolve() enters public beta: an API that tells your agent which thing a name refers to, or says it doesn't know.
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Andrea Volpini retweeted
It's not. Just because you don't see it (attribution gap); it doesn't mean it isn't there.
Is AI visibility a waste of time? Three new studies out this week suggest that very well might be the case. New #5minutewhiteboard 👇
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Andrea Volpini retweeted
Which Jaguar? 🐆 In our live demo, a search agent files a jaguar swimming in the Amazon under car news. resolve() checks the evidence first. Not enough? No guess. Now on Product Hunt. An upvote helps eu1.hubs.ly/H0zjyGL0 #EntityResolution #AIAgents #KnowledgeGraph
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Love the teamwork! 🇮🇹🤖 Something cool is cooking these days for us We're bringing more AI colleagues with Italian roots, their own identities, persistent knowledge graph memories, and real responsibilities to our clients. A step toward Sovereign AI: agents we own and control
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Andrea Volpini retweeted
I’m working on an enterprise brand’s website, and something interesting stood out in its Google Search Console Gen AI report: The most cited page on the company’s website in AI Overviews & AI Mode, with 5x more impressions than the homepage, is its “About” page. It’s a comprehensive, detailed page about the company’s history, background, and evolution over time. It’s not a “special page” created for LLMs or AI agents. It’s written for humans, visually appealing, and contains detailed information about the brand in a format that both humans and LLMs can easily understand. So what’s the big “GEO” takeaway here? Create comprehensive “About” pages with detailed, accurate information about your company’s history. In other words, the same recommendation many of us in SEO have been making for years, especially since E-A-T became a bigger part of the conversation in 2017 (and long before that, in many cases). Why do I think this is a more sustainable approach than creating separate pages specifically for LLMs? Because those pages create an easily gameable surface. Notably, Google, OpenAI, and Anthropic haven’t explicitly asked website owners to create separate, LLM-specific versions of their content, use Markdown, etc. I would change my perspective if they did (they won’t.) The problem: it’s inevitable that bad actors (and plenty of brands) will use these pages to inject prompts, exaggerate claims, or give AI agents promotional information that doesn’t match what real users see, with the goal of manipulating what AI says about their brand. My prediction is that as this behavior becomes more widespread (it’s already spreading thru the GEO world like wildfire), the AI companies will increasingly develop ways to ignore, discount, or otherwise treat these pages as untrustworthy. And depending on how these systems evolve, the consequences might extend beyond the individual pages themselves. The unfortunate part is that even well-intentioned companies simply trying to “help” LLMs understand their content better could become collateral damage. Even if their LLM-specific pages contain exactly the same accurate information as their human-facing website, they could still get caught up in broader efforts to crack down on this type of content, or flag the sites using “manipulative” approaches. This is why I’m extremely cautious about employing tactics like this in the first place. Meanwhile, there’s a much simpler way to work on this: Take all that time and effort you’re spending creating special content for LLMs and use it to improve the information available to actual humans on your website. Make your company’s history, expertise, people, products, and reputation easy to find, understand, and verify. You’re still giving LLMs the information they need; you’re just doing it in a way that’s actually useful to your human readers, too. And unlike tactics designed to exploit how AI systems currently work, this is an investment that’s unlikely to become a liability when those systems inevitably start cracking down.
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Not yet practically economical, but definitely the coolest invention of the day, beating CERN similar experiment by a factor of 10 🔥.
Last month, we demonstrated high-rate alchemy: turning mercury into real, stable gold, beating CERN’s record by a factor of 10. Last week, we enriched isotopes in the world’s most powerful plasma centrifuge, beating the Soviet record that stood for 40 years. Now, we’re building a fusion reactor in San Francisco to achieve record power density.
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Andrea Volpini retweeted
My esteemed industry colleagues @Kevin_Indig, @Marie_Haynes, and Ben Foster (from @seoworks) all published studies this week (and @RandFish amplified them). The four parties landed on the same conclusion: AI search doesn’t send traffic, so stop worrying about it. They’re right about the first part. I believe they’re wrong about everything that follows from it. Kevin has said on stage that AI is a visibility play and not a traffic play. Marie’s own data shows ChatGPT referrals falling while ChatGPT’s audience tripled, which has a very different explanation than the one she gave it. And Rand has a book coming out called Zero Click Marketing. Grading AI search on referral traffic is how you end up telling a CMO that the place where a billion people a week ask what to buy is a distraction. Nobody has ever attributed a billboard. The industry that spent twenty years tying every dollar to a click is now the only part of marketing that can’t recognize a brand channel when it’s staring at one. Here are my thoughts 👇🏾 ipullrank.com/ai-search-is-a…
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Andrea Volpini retweeted
Google Search Console has AI visibility data! We have been going through a very painstaking and manual process of gathering and analysing that data for a number of our tests where there was a strong AI visibility hypothesis. Punchline: we're detecting AI visibility impacts with statistical confidence for the first time. Ever since we rolled out experiments that focused on AI clicks the top question we've been asked is "what about visibility?". Well... One problem with most AI visibility tracking is that there is no way to tell whether the numbers are changing because of things you did, or just because of . Look at the purple line in this chart - growing both before and after the website change (dotted line) - it's only by running a controlled test where a control group is unchanged (producing the pink forecast line) that we can see that there is causality. The change we made helped! The purple bar shows the uncertainty but also the statistical confidence with credible interval. This is a big deal!
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Andrea Volpini retweeted
The conference SEO Week is now known as Relevance. The video below explains why we made the change. We are back April 6-8th. If you want to learn what people will be talking about in AI Search for the rest of the year, this is where to go. Get your tickets at relevanceconf.com
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Inspired by @michellechen's comparison, I added WordLift's resolve() to the emerging landscape of specialized AI models: 🔹 wordlift.io/resolve grounds: connecting language to stable identities in Wikidata or your own Knowledge Graph.
🤖 Made with AI
one thing that made this click for me — with decision models, you have to define categories and it returns probabilities that the input matches those categories. but so much of the data we interact with is completely new to us. how can you define categories for something you've never read? with clairic, you can extract values directly from the inputs, without any premeditated categories. the pipeline becomes clairic to extract values → clef to make decisions with those values → LLMs to take actions on those decisions. all of these models run on Workers AI.
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General-purpose neuro-symbolic entity grounding engine: Resolve 👇👇 wordlift.io/resolve/
General-purpose classification: Jev General-purpose regression: Clairic General-purpose anomaly detection: ? General-purpose clustering: ? General-purpose density estimation: ? General-purpose dimension reduction: ?
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This is the principle behind Agent-Oriented Ontology Engineering (AOOE). Models can reason and act, but must never validate their own authority. External, deterministic checks grounded in ontologies and auditable evidence are essential. Intelligence ≠ authority.
I recently wrote about why we need to treat models as insider risks, with security controls sitting outside the model itself. Today, we're putting that principle into practice by expanding Project Perception with new capabilities to help continuously assess agent risk, adapt permissions, and contain threats. blogs.microsoft.com/blog/202…
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Azure Entity Linking is retiring. Your entity layer doesn't have to. 🧠 Meet resolve(): Wikidata IDs, multilingual support, your own Knowledge Graph, and the ability to say "I don't know" when evidence is weak. We just made migration simple. 👇 docs.wordlift.io/developer-r…
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We benchmarked resolve() against Google, Dandelion, Entity-Fishing and Wikidata search on VoxEL, a public news benchmark in 5 languages. Given the mentions: 884 of 1,005 right, the most of any system. Finding names on its own: Google still wins. wordlift.io/blog/en/entity-l…
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Andrea Volpini retweeted
DeepSeek launched Search API 👀 It's one of the cheapest option in the market now! Search API Pricing Comparison (per 1,000 searches) - 2026 👇
🤖 Made with AI
Replying to @deepseek_ai
🔍 Search & Fetch APIs are now open to everyone! Powered by our in-house search engine, serving hundreds of millions of requests daily worldwide. 💰 Each endpoint: $0.75 per 1,000 calls. 📖 Docs: api-docs.deepseek.com/guides… 📌 Search & Fetch calls via server-side tools in DeepSeek Harness, Claude Code, and Codex are currently free for DeepSeek API users. Billing starts Oct 31, 2026, at 16:00 UTC. 3/4
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Andrea Volpini retweeted
I’ve been seeing this a lot lately: hyphens ( - ) appear to be breaking AI Overview titles 😅 Shop the new Ray Introducing Ray (They’re both missing -Ban) 😅
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Replying to @serpconf
@serpconf Rome 2026 is live! The room at Nazionale Spazio Eventi is full. SEOs, growth leads, AI researchers and founders are here for one reason: to find out what’s next for search!
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Replying to @serpconf
@serpconf Rome Is about to begin. Are you ready?
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It's a real honor to have @GiordMarco96 here in Rome. Always liked his data-cetered approach. Today, we're going to discuss AI automation at scale specifically for SEO.
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Search Is Not Dying; It Is Resegmenting. Today with us, the one and only @muratyatagan 👏 #SerpConfRome
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@purnavirji and Goodhart's Law. Such a blast having her energy and competence in our city for #SerpConfRome
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ChatGPT UTM The bug is fixed and utm is back.
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Your PDP no longer serves only human users. Now is time for @amanda-beales at #serpconfrome Check out the staggering numbers 🛍️🛒 👇👇
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