Position Score is a 0–100 composite that combines five sub-scores: mention share, answer share, rival co-mentions, evidence quality, and rival proximity — read across each AI engine and target organization type. It's refreshed daily and viewable per buyer × rival × model, so you can see which slice you're winning and which you're losing.
Mention share asks: when buyers in your target organization type prompt the engines on your category, how often does your brand appear in the answer at all? Answer share asks: when you're mentioned, are you the recommended pick or one of three named alternatives? Together those two cover whether you're in the conversation.
Rival co-mentions surface which rivals appear alongside you — if Rival X is named in 80% of answers your brand appears in, the buyer treats you as peers. Evidence quality reads what the engine cites when it explains the recommendation: a benchmark, a case study, an analyst note, a forum thread. Rival proximity scores how often your brand is named adjacent to a rival in ranked lists vs framed as a different category.
All five sub-scores are normalized to 0–1, then weighted into the overall Position Score (0–100). Category-level scores stay 0–1 so you can read where the gap is; the overall is on a 100 scale because it's the headline number on the Position page. The score refreshes daily and breaks down by engine and by target organization type, so the read is always actionable — "we're at 62 with mid-market fintech buyers on Claude" is more useful than a single average.
$500 · 7 days · Friday delivery · founder-configured · fixed price · no subscription. Capped at the first 15 pilots.