fameproof
Glossary Metrics & Analytics

AI Visibility Score

A composite 0–100 score measuring an entity's mention frequency, ordinal prominence, category coverage, and repetition stability across AI models.

Detailed Definition

The Fameproof AI Visibility Score is an empirical, versioned metric derived from multi-model prompt audits. It reflects how consistently and prominently an entity appears in AI answers under declared test conditions.

Formula / Calculation StandardScore (0–100) = Weighted Average (Mention Rate, Prominence Credit, Category Coverage, Repetition Consistency)
Why It Matters for Brands

It provides an objective, side-by-side benchmark for brand managers, PR teams, and analysts to track AI market presence over time without relying on subjective surveys.

How Fameproof Measures It

Calculated with 95% confidence intervals from repeated API sampling across declared models (e.g., GPT-4o, Claude 3.5 Sonnet, Gemini 3.1 Flash).

Read Full Evaluation Methodology →

Related Terms

Generative Engine Optimization (GEO)The methodology of optimizing brand presence, canonical entity representation, and authority to increase mentions in generative AI answers.Prominence CreditA scoring weight awarded based on an entity's ordinal placement (e.g., #1 vs. #8) in numbered or bulleted AI lists.Repetition ConsistencyThe variance or stability of AI model responses when identical prompts are submitted across multiple independent API calls.

Related Research Articles

Generative Engine Optimization (GEO): The Complete Guide to AI Model Visibility in 2026Discover how Generative Engine Optimization (GEO) differs from traditional SEO, how ChatGPT, Claude, and Gemini evaluate entities, and how to measure unaided AI visibility.State of AI Brand Visibility 2026: Benchmark Data Across Apple, Microsoft, Google, and TeslaWe analyzed benchmark visibility data across top global technology brands. Explore why Apple and Microsoft rank highest in unaided AI responses, and how prompt packs affect score stability.