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Sentiment measures the tone of an AI answer when it mentions your brand. Where visibility tracks how often you appear, sentiment tracks how you’re perceived. Each mention is understood as positive, neutral, or negative, giving you a clear read on your reputation inside AI answers.

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The categories

  • Positive — the AI recommends your brand, highlights benefits, or describes it favorably.
  • Neutral — your brand is mentioned factually, such as in a list, without a clear opinion.
  • Negative — your brand comes up in the context of complaints, limitations, or unfavorable comparisons.

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The sentiment score

Kime rolls these mentions into an overall sentiment score, where higher means a more positive presence. Tracking it over time shows whether your reputation in AI answers is improving or slipping, and you can break it down by model and market to see where perception differs.

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How to use it

Sentiment gives your other metrics context. High visibility is only valuable if the tone is positive — lots of mentions paired with a low sentiment score means AI models are highlighting problems, often pulling from dated reviews or negative coverage. For a deeper view of what’s driving your tone — the factors, keywords, and sources behind it — use AI Perception.
Watch visibility and sentiment together. Rising visibility with falling sentiment is a signal to address reputation issues before they spread further across AI answers.