AI visibility score

The share of AI answers that mention your brand, weighted so that higher-demand questions and higher-reach engines count for more.

How it is calculated

VS = Σ ( w_vol(p) × w_model(e) × mention_rate(p,e) ) ÷ Σ ( w_vol(p) × w_model(e) ) × 100

A raw mention count is misleading, because it treats a question nobody asks as equal to one thousands of buyers ask, and it treats a niche engine as equal to ChatGPT. A visibility score weights both.

Two weighting choices decide whether the number is useful. Prompt demand should be scaled, not raw: a log scale means a 10,000-searches-a-month question weighs roughly four times a zero-volume one rather than ten thousand times, so high-volume terms are influential without being able to drown everything else. Engine weight should reflect reach, and should be published rather than hidden, because an unpublished weight is an unfalsifiable number.

Treat single-day movement carefully. Generated answers are stochastic, so the same prompt set run twice in a day will not return the same score. A visibility score is a series, not a reading.

How Volexi measures it

Volexi publishes its exact weights and formula at /metric-docs, and every score links back to the verbatim answers behind it.

AI share of voiceYour brand's proportion of all brand mentions detected across a set of AI answers, measured against the competitors appearing alongside you.Citation rateThe proportion of AI answers that cite at least one page on your own domain as a source.Brand mention positionWhere your brand appears in the order of brands named within a single AI answer, counting from the first mention.