Google publishes its first official guide to appearing in AI results

On May 15, 2026, Google published a official guide dedicated to optimizing for its AI features in searchsuch as AI Overviews and AI Mode. Signed by John Mueller, this document answers a question that many professionals have been asking themselves for months: do you need to radically change your SEO strategy to remain visible in the era of generative AI? Google's response is clear, but it deserves attention.

SEO is dead, long live SEO

Since the emergence of AI-generated answers in Google Search, one question has come up repeatedly: Are classic SEO practices still useful? Some have invented new acronyms to adapt, such as AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization), suggesting that it is now necessary to optimize differently.

Google cuts this ambiguity short. For the search engine, optimizing for generative AI simply means optimizing for search. No distinction, no parallel strategy to build. Google Search's AI features, such as AI Overviews or AI Mode, rely on the same ranking and quality systems as traditional search.

Two technical mechanisms are at the heart of how these features work:

• RAG (Retrieval-Augmented Generation) : AI does not create its answers in a vacuum. It relies on pages indexed in Google Search to generate answers rooted in real sources, with clickable links to these pages. If your content is well indexed and considered relevant, it can fuel these responses.
• THE fan-out query : to answer a complex question, Google's system generates several related queries in parallel. For example, the question “ how to take care of a lawn overgrown with weeds » can generate queries like “ best herbicides for lawn “, ” eliminate weeds without chemicals ” Or ” prevent the appearance of weeds “. Your content can thus appear in AI responses on topics close to your main topic.

What Google really wants from your content

The centerpiece of the guide concerns the quality of the content. Google does not ask you to write for robots or reformat your pages. It requires producing content that visitors will find useful, reliable and satisfying.

Content that brings something real

Google clearly opposes two categories of content:

• THE generic content (“ 7 tips for first-time buyers “) is based on common knowledge, without any particular added value. It could be produced by anyone, or by effortless generative AI.
• THE non-generic content (“ Why We Forgotten Inspection and Saved Money: What the Sewer Camera Revealed “) brings a unique point of view, field experience, real expertise. This is the type of content that Google’s AI systems seek to highlight.

The logic is simple: if your content simply restates what already exists elsewhere, it is of little interest to an AI system that already aggregates dozens of sources. On the other hand, a first-hand account, an analysis from professional practice or a perspective that contrasts with the consensus is much more likely to stand out.

The structure serves the reader, not the algorithm

Google recommends organizing pages with clear paragraphs, well-structured headings, and logical navigation. Not because that's what the algorithm prefers, but because that's what humans appreciate. And what humans value is what Google seeks to identify.

Quality images and videos also play a role. AI features can integrate visuals into their responses, meaning that well-optimized images (with alt tags, good file naming, etc.) represent additional surface area of ​​visibility.

Do not try to cover all query variations

It may seem tempting to create a page for every possible variation of a query, including by targeting the fan-out questions mentioned above. Google explicitly prohibits this: mass-producing content to cover all possible variations constitutes large-scale content abuse, which is against Google's anti-spam policies.

Moreover, this strategy is ineffective. Google's AI systems understand synonyms, related meanings and search intent. You don't need to have an article for every possible formulation of a topic to be visible.

Technique remains the foundation

Before even considering whether your content can appear in an AI response, you need to make sure that Google can find and index it. None of the new AI features change this fundamental reality.

The technical points to maintain are the same as in classic SEO:

• Indexing remains mandatory. A page not indexed or excluded via a nosnippet tag will not appear in AI results. This is an absolute prerequisite.
• The crawl must be made easier. Google's AI models rely on publicly crawlable content. For large, frequently updated sites, crawl budget management remains a topic in its own right.
• JavaScript must be accessible. Google is capable of processing JavaScript content, but it remains more complex to manage than classic HTML content. SEO best practices for JavaScript frameworks still apply.
• User experience matters. Loading time, mobile display, readability of main content: these page experience criteria remain relevant for visibility in AI results.
• Duplicate content should be reduced. In addition to harming the user experience, it wastes Google's crawl resources.

There Google Search Console remains the reference tool for diagnosing technical problems and verifying that your pages are eligible for indexing.

What you can stop doing

This is probably the most anticipated part of the guide. Google officially lists unnecessary practices to appear in its AI features.

• The llms.txt file and other special files for AI. You don't need to create new machine-readable files, AI text files, or Markdown content to appear in Google's AI results. If Google discovers and indexes these types of files, this does not give them any special treatment.
• THE content chunking. Some advise breaking the content into small blocks to make it easier for AI to understand. Google makes it clear that this is not necessary: ​​its systems are capable of understanding several topics on the same page and bringing up the relevant passage for a given query. The ideal length of a page is the one that suits your audience and your subject.
• Rewriting content for AI. There is no need to adapt your writing style for AI systems. These include synonyms and search intent, meaning a lack of long-tail keywords doesn't penalize you.
• The search for artificial mentions. Some suggest increasing mentions of your brand on blogs, forums and discussions to influence AI responses. Google says its ranking systems focus on quality content and filter out spam. Inauthentic mentions do not have the desired effect.
• Overoptimization in structured data for AI. Structured data is not required to appear in AI results, and no specific Schema.org schema needs to be added for this purpose. Continuing to use them as part of an overall SEO strategy remains useful for rich results, but not as a lever for appearing in AI responses.

AI agents: a space to follow

At the end of the guide, the guide addresses the question of autonomous AI agentssystems capable of carrying out tasks on behalf of a user (reserve a table, compare products, etc.). These agents can interact with your site differently than a typical user: by analyzing screenshots, inspecting the DOM structure, or interpreting the accessibility tree.

Google recognizes that this space is rapidly emerging and evolving. He mentions in particular theUniversal Commerce Protocol (UCP), a protocol under development that would allow Search agents to go further in their interactions with merchant sites.

For professionals whose activity is directly affected by these uses (e-commerce, services, online reservation), Google recommends consulting the guide on best practices for “agent-friendly” sites and exploring products like Business Agent, a conversational experience allowing customers to interact directly with a brand from Google Search.

For now, Google presents this part as optionalworth exploring if you have extra time. This is not an immediate priority for the majority of sites.

Google Merchant Center and local listings remain key levers

For local businesses and e-commerce sites, Google reminds that AI responses can include product descriptions, sales information, and local business data. Properly feeding Google Merchant Center (via product feeds) and Google Business Profile therefore remains a direct lever for appearing in AI responses linked to purchases and local searches.