AI brand audit — definition & why it matters | BrandGEO Glossary   AI brand audit
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 A structured evaluation of what AI engines know and say about your brand, scored per engine.

An AI brand audit systematically interrogates AI engines about your brand — recognition, products, competitors, sentiment, recommendation likelihood — and scores the responses. Done per engine and per mode (trained data vs live web search), it produces a baseline number, the specific gaps behind it, and a prioritized fix list.

A good audit is repeatable (same prompts, comparable scores over time) and prescriptive (each weak dimension maps to concrete GEO actions). It is the natural starting point before investing in content or monitoring: you need to know what the engines currently believe before you can change it.

Related terms
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 [ AI visibility score ](https://brandgeo.co/glossary/ai-visibility-score) [ AI brand monitoring ](https://brandgeo.co/glossary/brand-monitoring-ai) [ Generative Engine Optimization (GEO) ](https://brandgeo.co/glossary/generative-engine-optimization) 

 If you want to know where your own brand stands, [run a free audit](https://brandgeo.co#audit-form) — five engines, about two minutes, no credit card.

 **8,545** AI reports analyzed · **588** audits run · **77%** of brands are invisible in AI 

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