AI search, explained

Become a useful source for the next kind of search.

Customers use search results, maps and AI answers to research a business. The source information needs to be clear wherever that journey starts.

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Built around real customer intentLocal search + organic + AI discoveryWork and measurement you can review
01

Answer a specific customer question

Start with questions asked in sales conversations and support. Give the direct answer first, then explain the conditions, relevant examples and next step. A concise answer is useful when the detail beneath it is equally reliable.

02

Publish what your business can substantiate

Keep service names, capabilities and contact details consistent. Use genuine work examples only with permission. Identify the author or responsible team and cite primary documentation when explaining a platform requirement.

03

Keep important information accessible

Put essential service details in readable page text. Link related pages so the topic can be explored. Structured data should agree with the visible page, and technical access still matters.

04

Understand the measurement limits

Google reports traffic from its AI features within overall Web search performance in Search Console. This does not create a complete report of every AI mention. Review actual referral visits and qualified inquiries where available, and label manual citation checks as observations.

Questions, answered

Before you decide

Will llms.txt get my site cited?

There is no guaranteed citation mechanism. Google states that new AI text files are not required for inclusion in its AI search features.

Is AEO a separate replacement for SEO?

It overlaps with SEO and good content design. Make the source useful, accessible and credible across different discovery experiences.

Further reading

Primary documentation behind this topic.

A clear next step

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