Glossary · Measurement
AI Sentiment Analysis
Evaluating whether an AI engine's mentions of a brand are positive, neutral, or negative, and which specific attributes it associates with the brand.
Why it goes beyond mention count
A brand can be mentioned frequently and still be described unfavorably, or associated with the wrong attributes (described as "budget" when it's trying to position as premium, for example). Sentiment tracking catches that a simple mention count would miss.
Recurring attributes
Tracking the specific words and attributes an engine repeatedly associates with a brand — reliable, expensive, easy to use, enterprise-ready — shows what's actually shaping how the model talks about it, which is often more actionable than sentiment alone.
See more terms in the full glossary, or read the AI Visibility 101 guide for the full picture.