How AI visibility is measured

AuthorityLayer measures AI visibility through large-scale prompt intelligence and broad cross-model analysis. Here's the methodology.

6 min read

The measurement loop

  1. Generate a representative set of buyer-intent prompts for your category and markets
  2. Run those prompts across leading AI models in a controlled, repeatable way
  3. Attribute brand mentions, recommendation strength, and competitive context
  4. Aggregate into AAI, share-of-recommendation, and positioning signals over a rolling 29-day window

Cross-model coverage

Per-model AI visibility for the United States — ChatGPT, Gemini, Claude, Perplexity and Grok with mention rate, top-3 rate and sentiment.

Per-model visibility for a selected market.

Visibility is measured across leading AI models — not a single one. A brand can dominate one model and disappear in another; broad cross-model visibility analysis is what separates real authority from a single-model artifact.

Rolling window

All customer-facing analytics use a strict 29-day rolling window. This keeps signal fresh, avoids stale comparisons, and reflects the speed at which AI models actually change their recommendations.