How the score is calculated
Every 24 hours we run ~1,000 prompts in your category - real buyer-intent questions - against the four major AI engines. For each answer, we score: did your brand appear, in what position, with what citation, and with what sentiment.
The model weighs these signals against the category baseline. A brand cited by all four engines, in position 1–2, with positive framing, scores in the 80s+. A brand never named scores under 10.
Why one number
Marketing dashboards drown in metrics. The Visibility Score collapses every signal - citation rate, position, sentiment, engine breadth - into a single trended number your CEO understands at a glance. The drilldowns are still there when you need them; the headline is one digit.
What moves the score
- Citation rate - the share of category prompts that name you
- Position - first-mentioned brands score higher than fourth-mentioned
- Engine breadth - being cited by 5 of 5 engines outscores 5× weighted on one
- Sentiment - "the leading X" outscores "an option in X"
- Source authority - being cited via Wikipedia carries more weight than via a forum thread
What it doesn't capture
The Visibility Score measures category presence inside AI answers - not conversion, not brand affinity, not pipeline. Pair it with your funnel metrics. It is necessary, not sufficient.