What we measure
The index captures unprompted visibility: how likely an entity is to appear when someone asks a broad, relevant question without naming that entity in advance. It is designed to compare entities within the same kind of market or cultural field.
The public boards currently cover 293 companies, public figures and football clubs. Each entity is assigned to one board and one peer group before scoring.
How the prompt panel works
Each category uses a panel of 24 natural-language questions, each asked 4 times per model, modelled on what a buyer, fan, journalist or curious user might ask. Prompts cover discovery, comparisons, recommendations, reputation and factual knowledge.
A prompt such as “Which enterprise AI companies should I know?” can test discovery. “Tell me about OpenAI” cannot, because it guarantees a mention.
The same prompt wording is used for every model in a measurement cycle. This keeps the comparison consistent even though model behaviour can vary between runs.
Models and timing
The current panel covers Claude, ChatGPT, Gemini. Results are grouped into weekly measurement cycles; the current cycle begins 24 August 2026.
Model versions can change over time. Fameproof keeps the public labels at product level and records the model configuration with each internal run so historical comparisons can be interpreted in context.
How the 0–100 score is built
Every successful response is evaluated across four signals. Together they describe not only whether an entity appears, but the quality of that appearance.
How often the entity appears in relevant answers.
How early and how clearly it appears when mentioned.
Whether key factual statements are supported and correct.
The overall framing of the entity in the response.
A separate score is calculated for each model. The Fameproof index is the equally weighted mean of those model scores, rounded to one decimal place. No one provider receives extra weight.
Rankings, movement and freshness
Entities are ranked only against others on the same board. A company’s rank is therefore not directly comparable with a musician’s or a football club’s rank.
The trend shows movement over recent measurement cycles, while the headline score shows the latest completed cycle. Fresh results can be reused within the same cycle to avoid paying for duplicate model queries without changing the comparison.
What the index does not claim
Fameproof is a structured sample of public AI output, not a census of every possible answer. Scores can be affected by model updates, geography, language, temporary service behaviour and the wording of a prompt.
The index does not measure universal fame, public approval, search demand or commercial value. It should be read as a comparative AI-visibility benchmark, supported by the underlying prompt evidence.