Sentiment shows you how AI models describe your product across real user prompts. As part of AI Visibility, it measures the tone of AI-generated responses. You can track not just whether your product appears in AI answers, but how it's perceived.
Amplitude computes sentiment at the response level, then aggregates it across all prompts. Amplitude classifies each AI-generated response into one of four categories:
Calculations use only responses with valid sentiment. Amplitude excludes neutral and failed responses to keep percentages consistent and comparable across time and competitors. Mixed responses contribute to both the positive and negative totals, so results still reflect partially negative responses.
Amplitude extracts themes independently from sentiment classification, and they can appear across multiple sentiment categories.
Amplitude bases sentiment percentages on valid responses only. This keeps totals consistent and comparable.
Example:
| Category | Count | Percentage |
|---|---|---|
| Total responses | 100 | — |
| Positive | 40 | 40 / 80 = 50% |
| Negative | 10 | 10 / 80 = 12.5% |
| Neutral | 30 | excluded |
| Failed | 20 | excluded |
Valid responses: 80 (total minus neutral and failed).
The overall sentiment score is the percentage of positive responses. Amplitude uses this score to compare perception across your product and competitors.
The UI displays only positive and negative as top-level metrics. It doesn't show mixed sentiment as its own category.
Use sentiment insights to improve how AI models describe your product:
Sentiment reflects how AI models describe your product, not direct user feedback. Keep the following in mind:
To learn how to send AI Visibility data, go to Send AI Visibility data to Amplitude.
April 9th, 2026
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