AI visibility score — definition & why it matters | BrandGEO Glossary   AI visibility score
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 A quantified 0–100 measure of how well AI engines know and recommend your brand.

An AI visibility score condenses an engine-by-engine audit into a single comparable number. BrandGEO's implementation scores six dimensions — recognition, knowledge depth, competitive context, sentiment & authority, contextual recall, and AI discoverability — weights them, and normalizes to 0–100 with letter grades (A ≥ 80, B ≥ 60, C ≥ 40, D ≥ 20, F below).

A score is most useful longitudinally (is it improving after your GEO fixes?) and comparatively (how do you score against competitors, and how does your trained-data score differ from your live web-search score?).

Related terms
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 [ AI visibility ](https://brandgeo.co/glossary/ai-visibility) [ Trained data vs web search (the gap) ](https://brandgeo.co/glossary/trained-data-vs-web-search) [ AI brand audit ](https://brandgeo.co/glossary/ai-brand-audit) 

 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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