What Is AI Sentiment?
What is AI sentiment?
AI sentiment is how positively or negatively an AI answer frames your brand when it mentions you. Being named isn't the whole story. There's a wide gap between "X is a top choice for teams" and "X exists, but people complain about support." Sentiment is that framing — the tone the model attaches to your name.
Mention vs. sentiment
A mention tells you that you showed up. AI sentiment tells you how you showed up. You can be mentioned often and framed badly, which is arguably worse than not being mentioned at all — the assistant is actively steering people away from you, with your own name. Both belong on the same dashboard, because one without the other is half a picture.
Why AI sentiment matters
Because an AI answer is a recommendation, not a listing. When a model calls a brand "reliable but pricey" or "great for beginners," that framing shapes the decision more than the raw mention does. And it compounds: negative framing in the sources the model reads tends to become negative framing in the answer. The tone downstream starts upstream.
How AI sentiment is measured
You classify each mention by tone — positive, neutral, negative — across the answers you track, then watch the ratio over time. One harsh answer is noise; a steady drift toward negative across many is a signal worth chasing down, usually a reputation or review problem upstream. Sentiment sits alongside mention rate and share of voice in the full scoring. One honest limit: sentiment is a softer, more interpretive signal than plain presence, so read it as a trend, not a verdict.