AI Visibility Glossary

GEO Audit

2026-06-27 · Definition · by Italo Campilii
Definition

A GEO audit is a structured assessment of how well a brand and its content are positioned to appear in AI-generated answers. It evaluates crawler access, content extractability, entity clarity, structured data, citation presence, and competitive gaps across engines like ChatGPT, Perplexity, Gemini, and Google's AI features.

Unlike a traditional SEO audit centered on rankings and backlinks, a GEO audit asks whether AI systems can access, understand, trust, and quote your content. It checks robots.txt permissions for AI crawlers, tests whether key facts are cleanly extractable, verifies entity and schema signals, and maps where competitors get cited but you do not.

The output is a prioritized roadmap for winning AI citations. Acromatico's GEO audits benchmark a brand's current share of AI answers, diagnose the technical and content reasons behind gaps, and sequence the fixes, from crawler settings to answer-ready content restructuring, that move a brand into the responses buyers now rely on.

Related terms

Questions people ask

How is a GEO audit different from an SEO audit?

An SEO audit focuses on search rankings, backlinks, and technical crawlability for Google's blue links. A GEO audit examines whether AI engines can access, interpret, trust, and cite your content in generated answers, checking AI crawler access, extractability, entity signals, and competitive citation gaps.

What does a GEO audit check?

It reviews AI crawler permissions in robots.txt, how easily key facts can be extracted, entity and schema clarity, current citation presence across engines, and where competitors appear but you do not. The result is a prioritized plan to earn more AI answer citations.

See if AI actually names your brand

Acromatico runs live AI-visibility audits across ChatGPT, Perplexity, Gemini, and Claude.

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