Methodology
Your AIS Score is one number out of 100 — how present, and how favourably, the AI engines name your brand when buyers ask. One number is a strong claim, so here is exactly what sits behind it. No black box.
The score
The AIS Score is a weighted blend of four measured signals, each normalised to a 0–100 scale.
AIS = (Visibility × 0.60) + (Position × 0.15) + (Sentiment × 0.10) + (Share of voice × 0.15)
60%
How often you’re named at all, across all five engines — the gate everything else passes through.
15%
Where you rank among the brands an answer names. First beats an afterthought.
10%
How positively the AI frames you when it does mention you.
15%
Your slice of all brand mentions in the category — the one signal that moves when rivals move.
The blunt question first: are you named at all, and on how many engines? For every prompt, across every engine and country, we record whether the answer mentions your brand and how broadly that holds. Visibility carries more than half the score because presence is the precondition for everything else — a glowing description is worthless if you’re surfaced once in fifty answers.
Being named isn’t the same as being named first. Buyers anchor on the first brand and treat the rest as alternatives, so we score where you appear on a decaying curve and interpolate between ranks — a brand that sits consistently between second and third isn’t scored as if it were always third.
Presence without favour can hurt. We read how you’re characterised in the answers that mention you, from clearly negative through neutral to clearly positive. We’re deliberately conservative: neutral mentions score as neutral, not positive. We only credit genuine favour.
Of all the brand mentions in your category’s answers, what proportion are yours? It’s the one competitive signal — it moves when your rivals move — which is why your visibility is always measured relative to the field you compete in.
A score is only as honest as its edge cases. Three choices keep ours straight:
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