Overview
Sentiment measures the tone of what AI says about your brand, on the runs where your brand is mentioned. It’s scored on a 0-100 scale — 0 strongly negative, 50 neutral, 100 strongly positive — reflecting how the AI framed you in context, not just whether the mention was positive or negative in isolation.How it’s calculated
Sentiment is worth 10 of the AIS Score’s 100 points — the smallest weight of the four signals, because it only qualifies mentions that Visibility has already established exist. Sentiment is calculated only for runs that contain a brand mention, using an anchored 0-100 scale evaluated by a language model in context. Like Position, the raw when-mentioned average then passes through the same credibility shrink and ramp before it enters the composite:Sentiment and Position share the same shrink constant (K = 8) and the same 3-mention ramp — they’re both “when-present quality” signals, credibility-bound in the same way for the same reason. See Position for the full mechanics.
Why it matters
Sentiment tends to move less dramatically than Visibility or Position, and that’s expected — most AI answers describe brands neutrally-to-positively by default rather than taking a strong stance. A genuinely low Sentiment score is worth investigating directly: look at the actual answer text in your mentions feed or the dedicated sentiment monitoring view to see what’s driving the tone, since a single 0-100 number can’t tell you why an answer read negatively. A low Sentiment score paired with strong Visibility and Position is a specific, actionable pattern: you’re the name AI reaches for, but something in how you’re described is dragging the framing down — outdated information, a recurring complaint theme, or an unfavourable comparison are common causes worth chasing down in the underlying answers.Related metrics
AIS Score
How Sentiment combines with the other three signals into the headline number.
Position
The other credibility-shrunk, when-mentioned signal.
Sentiment monitoring
Read the actual answers behind your sentiment score.