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The AI Visibility Framework

AI visibility is whether AI engines can find you, understand you, trust you, and recommend you. This is the map of how that works, and where to read each piece in depth.

The model

Recommendation Confidence = Accessibility × Classification × Evidence × Entity Confidence × Contextual Fit

Five factors multiply into a recommendation. If any one is near zero, the whole result collapses.

Accessibility

Can AI crawlers reach and read your site?

Classification

Can the AI tell what category you are in and who you serve?

Evidence

Can your claims be verified?

Entity Confidence

Does the AI recognize your brand as a real, distinct entity?

Contextual Fit

Are you the best match for the exact prompt?

The framework, in order

01AI Visibility PlaygroundHow ChatGPT, Claude, Perplexity, and Gemini each decide which brands to mention, cite, and recommend.02The Evidence LadderHow AI engines grade the proof on your site, from unverified marketing claims to original research.03Entity ConfidenceWhether an AI can correctly identify who you are, place you in a category, and tell you apart from similar names.04The AI Visibility ScoreHow AudFlo measures a single site across four weighted pillars and 32 checks.05Benchmark FrameworkHow AudFlo aggregates real scans into a benchmark, with fixed rules and no invented numbers.06AI Visibility GlossaryPlain definitions of the vocabulary, published as structured data so AI engines read them too.07AI Visibility GuideThe complete beginner guide to AI visibility and answer engine optimization.

See where your site stands.

A free AudFlo scan turns this framework into your own AI Visibility Score and the exact gaps to fix.

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