What is an AI sentiment score?

An AI sentiment score 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 how it frames the subject brand, and those classifications are then aggregated across engines, across prompts, and across time.

The aggregated views matter more than any single score

A single sentiment reading tells you little on its own. The diagnostic value comes from looking at how sentiment breaks down across four dimensions:

• Across engines: how sentiment varies from one engine to another for the same prompt.
• Across themes: how it differs by topic – for example, a company described positively on innovation but negatively on culture.
• Versus named peers: how the brand compares to a defined peer set running the same prompt set.
• Over time: how the picture is moving from one period to the next.

Sentiment is one dimension among several

In AIQ, sentiment sits alongside source attribution, theme analysis, and visibility. Looking at sentiment alone misses what is producing it; looking at the others without sentiment misses how the overall picture is changing.