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Cover: AI visibility: a guide to measuring and improving it

AI visibility: a guide to measuring and improving it

Buyers now start their supplier research in ChatGPT, Gemini, Claude, Perplexity and Google's AI answers. This guide shows how to measure, with a repeatable method, whether your brand is mentioned in those answers, and how to close the gaps the measurement reveals, in order. Every claim about the engines rests on the providers' own documentation: a method, not a guarantee.

Free e-book · PDF7 chaptersZehra Adaş

  • How AI answers choose their sources
  • Measurement: question set, engines, frequency
  • Your brand definition and source map
  • Content and technical fixes

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What’s inside

  • How the engines choose sources: a per-engine table of sources and crawlers, drawn from Google, OpenAI, Anthropic, Perplexity and Microsoft documentation.
  • A measurement routine: building the question set, which engines to track and how often, what to record, how to calculate the metrics, and a monthly report template.
  • Your brand definition and source map: checking how AI describes you against one definition sentence, finding where wrong information comes from, and understanding why a competitor gets picked.
  • Fixes on your own site: a technical check table, page-level content fixes, a B2B service page skeleton and the published Modaltrans case.
  • Digital PR: types of third-party sources, a target source list, expert commentary and review platforms, local and Turkish-language sources.
  • A 90-day plan and checklist: a week-by-week plan, who does what, and a checklist to tick off.

Contents

Start to finish, in 7 chapters.

  1. 01How AI answers choose their sources
  2. 02Measurement: question set, engines, frequency
  3. 03Your brand definition and source map
  4. 04Content and technical fixes
  5. 05Digital PR and third-party sources
  6. 06A 90-day plan
  7. 07Checklist

Who it's for

  • Marketing managers at B2B and service brands: consulting, software, logistics, healthcare, education, manufacturing and professional services.
  • Teams with sales cycles of weeks or months whose buyers start their research with an AI assistant.
  • Anyone who wants to manage AI visibility by measuring it rather than guessing.
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