Sentiment in AI visibility measures how an AI platform characterizes a brand when it mentions the brand in a response. Cited classifies each mention into one of four categories: positive (favorable characterization), neutral (factual without evaluation), negative (unfavorable characterization), or mixed (both positive and negative in the same response).Documentation Index
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Why it matters
A high mention rate with negative sentiment is worse than a lower mention rate with positive sentiment. When ChatGPT describes a brand as “overpriced” or “declining in quality,” every mention works against the brand. Sentiment captures the qualitative dimension of AI visibility that quantitative metrics like mention rate and share of voice do not.How Cited uses it
Sentiment is classified per mention by the Haiku parsing pipeline and aggregated as a numeric score: (positive - negative) / total. Sentiment benchmarks are not yet published in the Cited Index because 86.5% of observations are classified as “mixed” — too concentrated for meaningful percentiles. See Sentiment for details.Related concepts
- Sentiment (full page) — why benchmarks are deferred
- How we extract mentions — the parsing pipeline
- Brand mention — the atomic unit sentiment is classified on