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Orvenant

How Google and AI search discover a website

How Google and AI search discover a website

Google's AI search features use the foundations of search eligibility: accessible, indexed pages with useful visible content. There is no special AI schema or text file that guarantees inclusion.

Identify which search experience you mean

AI search can refer to different products with different discovery and reporting systems. This guide addresses Google’s AI Overviews and AI Mode. If another assistant matters to your customers, inspect that provider’s current crawler guidance and available reporting separately. Start with the questions customers ask before selecting a service, such as cost drivers, migration risks or what a maintenance agreement includes. Those questions are a better editorial starting point than a list of fashionable AI terms.

Check technical eligibility first

Google states that a supporting page must be indexed and eligible for a snippet; its standard search requirements still apply. Check the public URL, crawl access, indexing controls, canonical destination and rendered content. Review hosting and CDN rules as well as robots.txt. A page that works in your browser may still be blocked by an access rule. Use Search Console inspection for important URLs and distinguish an observed indexing issue from a guess based on a single search.

Make each page answer a complete decision

Open with a direct answer that also states the conditions under which it applies. Then help the reader act: explain tradeoffs, inputs needed, practical checks and the next decision. For a server comparison, this could mean workload measurements, recovery requirements and ownership questions. Use headings that describe the decision rather than repeating variations of a keyword. Keep important explanations in visible text and make the service link useful in context. An answer should still make sense to a reader arriving without the rest of the site.

Publish evidence that readers can evaluate

Separate confirmed company facts, provider documentation and your own recommendations. Link a technical claim to the specific source that supports it. Explain the limits of an example instead of presenting it as a client result. Give the publishing organization a clear identity and maintain a meaningful update history. When a topic changes, revise the affected facts and decision guidance together. Replacing the date without improving the content gives the reader no new reason to trust it.

Choose structure for clarity

Use a comparison, checklist or short FAQ when it answers a genuine follow-up question. Do not add a repeated FAQ merely to increase page length. Keep structured data consistent with what the visitor can see. Google explicitly says its AI features require no special AI text file or schema. Spend the effort on missing information, broken destinations and confusing explanations first. Treat any proposed technical addition as something that needs a documented purpose and a testable result.

Define success without promising a citation

Before considering the work complete, check that priority pages are reachable, internally linked, accurately described and useful for their intended questions. Confirm that sources support the claims and that the next action matches the page’s topic. Record the deployed change and monitor available search and enquiry evidence. Eligibility does not guarantee indexing or inclusion. A sensible engagement commits to reviewable improvements and transparent measurement, with changes informed by what the evidence actually shows.

Questions about this guide.

Do we need llms.txt for Google AI Overviews?

Google’s current guidance says no new AI text file is needed for these features. Evaluate files proposed for other systems against their own documented behavior and your actual use case.

Can FAQ or Article markup guarantee an AI citation?

No. Accurate markup can describe visible content, but it does not create a right to appear in an answer. Add it only when the content and supported schema type match.

Does allowing search crawling grant every AI permission?

Do not treat all crawler controls as interchangeable. Search discovery, answer retrieval and model-training policies can differ by provider. Review the exact control and purpose before changing access rules.

Sources and further reading

Sources support the stated technical context. The planning recommendations are Orvenant's assessment.

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