Visibility Score

Raw mention counts ignore quality: being the first recommendation differs enormously from a footnote. A visibility score corrects this by weighting components, how often you are mentioned (mention rate), how early in the answer you appear (mention position), and whether your domain is cited as a source. Some implementations add sentiment weighting, so a negative mention contributes less or even subtracts.

The result is one number per brand, per engine, per period. Methodologies differ across platforms, so scores are not comparable between tools, but within one consistent methodology, the trend and competitor gaps are highly meaningful.

Treat the score as a dashboard headline, not a diagnosis. Its job is to compress hundreds of daily answers into a trend a team or executive can track weekly, and to flag inflection points: a five-point drop after a model release, a steady climb after a content sprint. When the score moves, drill into components to find which prompts, engines, or competitors drove the change.

Scores shine in competitive context. Plotting your score against rivals on identical prompts converts abstract AI presence into a race with positions, gaps, and momentum, the same way share of voice does for mention counts.

A score is only as good as its prompt set: stuff it with branded or easy prompts and you manufacture vanity numbers. Answer randomness means day-to-day wiggles are noise; judge weekly or monthly trends instead. And never optimize for the score itself, optimize for the buying-intent prompts beneath it.

Geonimo computes a daily visibility score from mentions, positions, and citations across five-plus engines, and pairs it with diagnostic tools that explain score movements rather than just reporting them.