Guides

How AI answers work, in five guides.

Plain explanations of AI search visibility, also called GEO: what the term means, how a brand gets mentioned and cited, how to measure that as a rate rather than a ranking, why answers differ by country, and what llms.txt is for. Each guide links its sources.

What is GEO (generative engine optimization)?

A plain definition of GEO, where the term comes from, how it differs from SEO, and what it means to be mentioned, recommended or cited in an AI answer.

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How to get your brand into AI answers

The levers that make an assistant more likely to name your brand: the sources it retrieves, consistent brand facts, pages that answer buyer questions, crawler access, and a way to measure the result.

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How to measure AI search visibility

Prompts, repeated runs, mention and recommendation rates with sample sizes, surfaces and markets, and how to tell a real change from noise.

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Why AI answers differ by country and language

Local questions, local sources, the location of the search and the language variant all change which brands an AI assistant names. Why a translated keyword list misses it, and what to do instead.

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What is llms.txt, and does it help?

Who proposed llms.txt, what the format looks like, how it relates to robots.txt and sitemaps, and what providers have and have not documented about using it.

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Strategy Library

Prefer a step-by-step version? The Strategy Library turns these guides into plays you can run this week, each ending in the VozRadar feature that runs it. Browse the Strategy Library

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