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What is an AI sentiment score?

Quick answer

A measure of whether AI responses about a brand skew positive, neutral, or negative across engines and prompts, typically aggregated by topic, theme, or peer comparison.

AI sentiment scoring is the same analytical task as media sentiment scoring, applied to a different source. Each AI response is classified positive, neutral, or negative based on its framing of the subject brand, then the scores are aggregated across engines, across prompts, and across time. The aggregated views matter more than any single score: how does sentiment vary across engines for the same prompt, how does it differ across themes (the company is described positively on innovation but negatively on culture), how does it compare to named peers running the same prompt set, and how is it moving over time. Sentiment is one of several diagnostic dimensions in AIQ™ alongside source attribution, theme analysis, and visibility – looking at sentiment alone misses what is producing it, but looking at the others without sentiment misses how the overall picture is changing.

Last reviewed: 19/05/2026

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