Sentiment (AI answers)

Sentiment, in the context of AI answers, is a classification of the tone an answer engine uses when describing a brand, typically scored as positive, neutral, or negative, and sometimes broken down by the specific attribute being praised or criticized, such as pricing, ease of use, or reliability. It reflects how a brand is characterized, not merely whether it is mentioned.

Because AI-generated answers are full sentences rather than star ratings, sentiment is usually assessed by having a language model or human reviewer read the specific passage mentioning the brand and classify its tone, sometimes alongside the surrounding context, since the same fact can read as neutral or negative depending on what it is being compared against. This makes sentiment more subjective to measure than a simple mention count.

Sentiment matters because answer engines can repeat an outdated complaint, a resolved issue, or a competitor’s framing long after the underlying problem has been fixed, since the model is drawing on whatever sources it was trained or retrieved on. Tracking sentiment over time helps a brand catch when its AI-generated reputation is drifting negative even while mention rate and citation share stay flat.