AI Search and Technical SEO: How to Prepare Your Website for Generative Search

What does it mean

Generative search has brought many new terms, but also many myths. There are claims that traditional SEO is ceasing to work, that it's enough to add a llms.txt file or create special content for AI models.

However, Google in its official AI Optimization Guide says otherwise. AI Overviews and AI Mode are based on the same foundations as traditional Search. If you want to be visible in AI responses, you still need to address quality technical SEO, indexing, crawlability, and quality content.

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SEO hasn't disappeared: Why Google still builds AI responses on the foundations of the Search index

Google confirms that both AI Overviews and AI Mode use the same ranking systems as classic Search. Therefore, AI responses are based on indexed and relevant pages, not from its own database.

If a page is not indexed or does not meet Google's Search technical requirements, it cannot appear in AI responses either.

RAG and grounding: How AI responses draw from indexed pages

Google uses the Retrieval-Augmented Generation (RAG) mechanism, also known as grounding. Before creating a response, it first searches for relevant pages in its index and then constructs a response from them with links to sources.

Query fan-out: Why AI Search works with topics, not just a single keyword

AI does not work with just one query when responding. Using query fan-out, it creates more related questions to gain a broader context of the topic.

Therefore, Google does not recommend creating separate pages for each keyword variation. Quality content that covers the topic comprehensively is more important.

Technical availability of the web as the basis for AI visibility

Google emphasizes that AI Search uses the same principles of indexing and crawling as classic Search. Therefore, technical SEO remains the foundation of visibility even in generative search.

Indexing, snippet eligibility, and why Google may not display even a technically correct page

Indexing alone is not enough. The page must also meet the technical conditions for displaying in Search results, including snippets. Some settings may limit its display in AI responses.

Crawlability in large e-shops and dynamic websites

For extensive e-shops, Google recommends paying attention to crawlability and optimizing the crawl budget so that Googlebot effectively indexes the most important content.

Duplicate content and crawl budget as increasingly important technical risks

Duplicate URLs can unnecessarily consume the crawl budget. Therefore, Google recommends limiting duplicates and maintaining a clean information architecture.

JavaScript SEO in the era of generative search

Google supports JavaScript as long as it can process the key content of the page. However, modern frameworks increase the demands on technical SEO implementation.

Why modern frameworks increase the demands on SEO control

SEO with JavaScript frameworks is more complex than with traditional websites. It requires thorough control of rendering, indexing, and content availability.

How to verify if Google sees the key content, links, and structure of the page

Google recommends using Google Search Console, where you can verify how Googlebot processed the page and what it actually indexes.

SSR, prerendering, and lazy loading: technical decisions impacting SEO

Google does not favor a specific rendering technology. What matters is that the content, links, and structure of the page are accessible to Google regardless of the rendering method used.

What not to consider as a miraculous GEO solution

In its AI Optimization Guide, Google debunks several widespread myths about optimization for AI Search.

LLMS.txt, special AI markups, and other shortcuts that Google doesn't need

For AI Overviews or AI Mode, it is not necessary to create llms.txt, special AI markups, or publish content in Markdown. Google does not use them in generative search.

Similarly, it does not recommend creating numerous pages for each query variation or rewriting content exclusively for AI.

Why structured data is not a ticket to AI responses but still has SEO significance

Structured data is not a condition for displaying in AI responses. However, Google still recommends using them because they support rich results in classic Search.

Non-commodity content as a counterbalance to generic AI content

Google recommends creating content based on personal experiences, expertise, or original data. Such content has long-term value for users and generative search.

Agent-friendly web: new SEO overlap into UX and development

Google warns that AI agents will increasingly work directly with web pages, so the importance of quality architecture and accessibility is growing.

How browser agents can work with DOM, visual interface, and accessibility tree

Browser agents can analyze the visual display of the page, DOM, and accessibility tree. Therefore, clean HTML structure and proper accessibility help not only users but also AI agents.

Why data quality, architecture, and content availability will be important for AI agents

Google recommends preparing websites with an emphasis on quality data, information architecture, and content availability. These are the same principles that support modern SEO and a good user experience.

How ui42 connects technical SEO, UX, and custom development in modern websites

Preparing for AI Search does not mean a new discipline. It is a combination of technical SEO, UX, and quality development. At ui42, we therefore address indexing, JavaScript SEO, information architecture, accessibility, and web performance already during the design of modern websites and e-shops.