AuthoritySignal's AI Visibility Score measures the strength of entity identity, trust signals, authority proof, local relevance, and content consistency. It is one diagnostic output, not a website ranking or a guarantee of an AI recommendation.
Evidence-gated intelligence instead of manufactured certainty. AuthoritySignal requires sufficient evidence before publishing an authoritative conclusion; missing or insufficient evidence remains unknown, provenance and corroboration remain visible, and one provider response never defines the full score. AuthoritySignal publishes authoritative conclusions only when the available evidence clears the required standard. Insufficient evidence remains unknown rather than becoming false certainty. Durable authority evidence forms the base; time-stamped provider observations are bounded signals, not a license for one response to dominate the score. The platform resolves professional identity and consistency across important public business details and distinguishes first-party assertions from independently corroborated evidence. The methodology distinguishes direct signal evaluation, indexed-web evidence, illustrative simulations, and time-stamped provider observations where a provider-level check is configured.
AuthoritySignal can remeasure supported visibility and evidence after meaningful changes so customers can see what changed over time. Independent AI systems remain outside AuthoritySignal's control, so results are reported as observations rather than guaranteed or causal outcomes.
Query wording, location, public-source changes, model behavior, and provider availability can affect results. Scores and evidence refresh on the cadence available to an account; proprietary weights and private prompts are not published.
The live verification lifecycle is Measure again → compare supported evidence → report what changed.