- Google has published official guidance on optimizing websites for generative AI features in Search, including AI Overviews and AI Mode.
- The main message is clear: foundational SEO still matters, while many “AEO” and “GEO” hacks are unnecessary or unsupported.
Google has published new guidance for website owners who want to appear in generative AI features on Google Search, including AI Overviews and AI Mode.
In its new guide to optimizing for generative AI search, Google says the best practices for SEO continue to apply because its generative AI features are rooted in the same core Search ranking and quality systems.
The guidance is important because marketers have been trying to understand whether AI search requires a new discipline, often described as AEO, answer engine optimization, or GEO, generative engine optimization. Google’s answer is more conservative: for Google Search, optimizing for generative AI search is still SEO.
SEO still matters for AI Overviews and AI Mode
Google says its generative AI features use AI techniques to highlight content from the Search index. The company specifically points to retrieval-augmented generation, also known as grounding, and query fan-out.
With retrieval-augmented generation, Google’s systems retrieve relevant and up-to-date pages from the Search index, review information from those pages and use it to generate more reliable AI responses with prominent links to supporting sources.
Query fan-out works differently. Google says the model can generate a set of related searches to gather additional information around the user’s original query. A single query may trigger several related searches in the background before an AI response is created.
For site owners, the implication is simple: visibility in AI search is still connected to whether Google can crawl, index, understand and trust the content.
Google pushes back on AEO and GEO hacks
Google directly addresses the growing use of terms like AEO and GEO, which are often used to describe optimization for AI answers and generative search systems.
Google does not say those terms are forbidden. But it does say that, from the perspective of Google Search, optimizing for generative AI search is part of optimizing for the search experience overall.
That is a notable message for marketers. Google is not introducing a separate AI visibility checklist with secret markup, special files or a different ranking system. Instead, the company is reframing existing SEO principles for AI-powered search features.
Unique, non-commodity content is the core recommendation
The strongest recommendation in the guide is not technical. It is editorial.
Google says creating unique, compelling and useful content is likely to influence a website’s presence in generative AI search over the long run more than any other suggestion in the guide.
The company specifically encourages content with a unique point of view, first-hand experience and expert insight. Google contrasts this with content that simply restates what is already available elsewhere or could easily be produced by a generative AI model.
That matters because much of the AI search conversation has focused on technical tricks. Google’s guidance points in the other direction: the content has to be worth retrieving, citing and showing in the first place.
Google warns against producing pages for every fan-out query
Google’s section on query fan-out may tempt some SEOs to create pages for every related question an AI system might generate. The guide explicitly warns against that.
Google says creating separate content for every possible query variation, primarily to manipulate rankings or generative AI responses, may violate its scaled content abuse policy.
The company also says this is unlikely to be a strong long-term strategy because a high quantity of pages does not make a website higher quality or more relevant to users.
For publishers, this is an important distinction. Building topical authority does not mean mass-producing thin pages for every possible prompt. It means covering a topic well enough that users and search systems can understand the expertise behind it.
Technical SEO remains part of AI search visibility
Google also makes clear that technical SEO still matters.
To appear in generative AI features on Google Search, a page must be indexed and eligible to appear in Search with a snippet. Google points site owners back to its Search Essentials and says that crawling, indexing and serving are not guaranteed even when a page follows best practices.
The guide also recommends keeping content crawlable, following JavaScript SEO best practices, improving page experience, reducing duplicate content and using Search Console to diagnose issues.
Google also mentions semantic HTML, but in a practical way. The company says perfect semantic HTML is not required, but using it where possible can help screen readers and other systems parse and navigate a page more easily.
Local and ecommerce details matter too
For local businesses and ecommerce sites, Google recommends keeping business and product information clear through existing Google systems.
The guide points to Merchant Center and Google Business Profiles as tools that can help products and services appear in AI responses and other Google Search results.
Google also mentions Business Agent, a conversational experience on Google Search that can help customers chat with a brand.
This part of the guidance fits a wider pattern: Google’s AI search experiences are becoming more connected to commerce, local information and task completion, not just informational answers.
If you want to check which indexing issues actually matter, our Google Search Console indexing audit guide explains what to fix and what to ignore.
What Google says not to do
The most useful part of the guide may be the mythbusting section.
Google says site owners do not need to create LLMs.txt files, special AI text files, new machine-readable files or special markup to appear in generative AI search.
The company also says there is no requirement to “chunk” content into tiny pieces for AI systems. Google says its systems can understand nuance across topics on a page and show relevant parts to users.
Google also says site owners do not need to rewrite content in a special style just for AI search. Its systems can understand synonyms and broader meanings, so publishers do not need to capture every long-tail keyword variation.
The guide also warns against chasing inauthentic mentions across the web. Google says its generative AI features depend on core ranking systems and spam protections, meaning artificial mention-building is unlikely to be a reliable strategy.
Finally, Google says structured data is not required for generative AI search and that there is no special schema markup site owners need to add. However, Google still recommends using structured data as part of a broader SEO strategy because it can help with eligibility for rich results.
Agentic experiences enter the SEO conversation
Google also briefly addresses agentic experiences, where AI agents perform tasks on behalf of users, such as comparing product specifications or booking a reservation.
The guide says browser agents may access websites by analyzing screenshots, inspecting the DOM structure and interpreting the accessibility tree. Google points site owners to its separate agent-friendly website best practices and mentions emerging protocols such as Universal Commerce Protocol.
This is not framed as an immediate SEO requirement. But it shows where Google sees the web heading: AI systems will not only retrieve information from pages. They may increasingly interact with websites to complete tasks.
The Query Post view
Google’s new guide is a useful reality check for the AI search industry.
It does not deny that search is changing. AI Overviews, AI Mode, query fan-out and agentic experiences all create new ways for users to find information and take action. But Google is also pushing back against the idea that every AI search shift requires a new set of hacks.
The practical message is clear: if you want visibility in Google’s generative AI search features, start with the fundamentals. Create content with real value, experience and a clear point of view. Make sure the site is crawlable, indexable and technically understandable. Use structured data where it already makes sense. Keep business and product information accurate. Avoid mass-producing pages just to chase AI prompts.
The biggest change is not that SEO is dead. It is that average SEO content is becoming easier to ignore.
Google’s guidance makes that point indirectly. Commodity content, recycled summaries and pages made only to match query variations are not a durable strategy. Content that is useful, specific, well structured and grounded in real experience has a better chance of being selected by both classic Search and AI-powered search features.
For marketers, the takeaway is simple: do not rebuild your entire strategy around AEO or GEO buzzwords. Strengthen the parts of SEO that already matter, then make the content more useful, more original and easier for Google to understand.
