SEO and GEO in 2026: what Google's official guide changes

🇫🇷 Lire en français : SEO et GEO en 2026 : ce que le guide officiel Google change

On 15 May 2026, Google published its very first official guide on visibility in its AI features — AI Overviews and AI Mode. Many were finally hoping for the list of “tricks” to get cited by artificial intelligence. Surprise: the document mostly says the opposite. No magic tag, no secret file, no new craft to learn. AI search rewards what good SEO already rewards. Here’s what that changes in practice when you run a business in Guadeloupe and the wider Caribbean — and what it doesn’t.

What Google put in writing on 15 May 2026  

  Tip

Google’s official AI guide boils down to one idea: to be cited by an AI, apply the rules of good SEO. There’s no separate recipe.

Google’s Search Central team published a document titled “Optimizing your website for generative AI features on Google Search.” It’s the first time the company has gathered in one place its recommendations for appearing in AI Overviews (the answer box at the top of results) and in AI Mode (conversational search, which became the default this year).

The guide covers five topics: unique, value-added content; special cases (local, shopping, image, video); debunking the myths around “GEO”; an initial framework for AI agents; and an explanation of how it all works. The same thread runs through every section: optimizing for AI search means applying classic SEO. Same foundation, same criteria. When the company that runs search says itself there’s no second craft to invent, it’s worth listening.

“SEO = GEO”: why there’s no separate AI referencing  

For two years, a small industry has been selling “GEO,” “AEO,” “AI-special” services. The guide settles it: there’s no markup reserved for AI Overviews, no hidden setting that unlocks visibility. If your page is indexable, eligible to show with a snippet, and genuinely useful, it can be picked up as a source in an AI answer. That’s it.

I say this plainly because it saves you from paying for services that do nothing. The work that matters is the same as before: a site Google can read, content that truly answers a question, a clean structure. It’s exactly the foundation we lay on every local SEO project.

One nuance is worth stating: being cited isn’t the same as ranking first. According to industry analyses, barely more than half of the domains cited in AI Mode match the classic organic top 10. In other words, citation follows logic close to the blue-link ranking, without overlapping it perfectly. All the more reason to aim for substance over a technical setting.

The 4 fundamentals that decide your presence in AI  

  Tip

Four levers do the work: content you can’t find elsewhere, a readable structure, a healthy technical base, and real, identifiable expertise.

The guide and the field agree on the same pillars.

Non-interchangeable content. An AI synthesizes what already exists. If your page only rephrases what ten other sites say, there’s nothing to cite. A figure only you have, a dated first-hand account, a local data point: that’s what makes you findable.

A clear structure. Logical headings, one question per section, crisp answers. What helps a rushed reader also helps the machine crawling the page.

A healthy technical base. Indexing, crawl, mobile load speed. That last point is no detail here: on Guadeloupe’s 4G — and across the Caribbean, where mobile coverage is uneven — a slow page loses visitors before it can convince them. It’s a topic in its own right, and I devote a whole article to what an AI actually reads from a site — robots.txt, llms.txt, .md pages — because that’s where the most nonsense gets told.

Real E-E-A-T. A named author, a publication and update date, first-hand experience. Not a name dropped at the top to look serious: expertise visible in the content itself.

What the guide tells you to stop doing  

  Warning

Google explicitly files several “GEO” practices under bad ideas: the llms.txt file, artificially chunking text, and rewriting pages specifically for robots.

This is the most useful part of the document, because it saves you time and money. The famous llms.txt file, presented everywhere as the key to getting cited by AI, has no measurable effect on Google’s answers — Google doesn’t read it. Chunking your text to “please the AI,” or producing a parallel version of your pages for robots: same verdict, it doesn’t help, and it can even hurt. I detail all of this, and the far more modest real use of llms.txt, in the article Make your website citable by AI.

  Note

Update — May 2026. An apparent contradiction since: Chrome started checking for an llms.txt in its Lighthouse “Agentic Browsing” audits. John Mueller (Google) settled it right away: the file serves functionality (helping an AI agent, especially coding tools, read documentation), not discovery (ranking). For a business website, it changes nothing — llms.txt still isn’t an SEO lever.

One last point, flagged by Google back in summer 2025: mass-producing clusters of AI-written articles to “cover a topic” mainly creates risk for the site. Volume without value gets filtered out faster and faster. Better one accurate page than ten hollow ones.

And in the Caribbean? Local becomes a citability advantage  

  Note

In 2025, the manager of a tourism business in the Saint-François area asked me why a competitor showed up in a ChatGPT answer to a very specific question about their zone, and not them. The difference wasn’t technical, it was semantic: the competitor had a detailed page anchored in the real local context, where theirs stayed generic. The AI simply picked up the only source that genuinely answered.

That’s the whole point, and it’s good news for a local business. An AI can only cite what exists somewhere. On a hyper-competitive national query, you’re up against huge sites. But on “how to get a Saint-François guesthouse found in high season,” or on a reality specific to the West Indies — a local calendar, a network constraint, a field data point — generic national content has nothing to say. If you’re the most precise and honest source on the question, you become the citation.

Local data, lived experience, the true detail: that’s exactly what the guide calls value-added content. And for once, it’s a field where proximity beats size.

Where to start this week  

No need to redo everything. Three concrete moves, right now.

Open your Search Console and look at the trend by query type: it’s often informational queries that lose clicks to the AI box, while your brand queries hold. You’ll know where to act. Then take your two or three most important pages and ask, page by page: what does it say that nobody else says? If the answer is “nothing,” that’s where to add your data, your case, your figure. Finally, check the basics: is your site fast on mobile, readable, up to date? That’s the foundation that serves both Google and AI.

If you’d like us to look at your situation together — current visibility, the queries that matter, content to strengthen — that’s exactly what we do on the SEO & local visibility page.

This blog has no comment forum, and the question I’ll leave you with deserves better than silence: which received idea about SEO and AI annoys you most right now?

So let’s continue elsewhere. Come discuss it on LinkedIn: I reply to comments, and the best exchanges often turn into a future article. And if you’d rather get the next one without thinking about it, subscribe to the Kimoun newsletter: once or twice a month, a curated watch that gets to the point, breakdowns of local cases, and advice you can apply the following week — sized for realistic budgets and teams. One-click unsubscribe.