AI Sentiment Score
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Track how AI models actually talk about you, not just whether they do
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Catch negative or hedged framing before it spreads across thousands of buyer conversations
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See sentiment broken out from visibility, so a rising mention count is never mistaken for a rising reputation
Why sentiment score exists
A brand can show up constantly in AI-generated answers and still be described in a way that costs it business: framed as expensive, unreliable, outdated, or tied to a specific complaint. Mention rate tells you that you’re part of the conversation. It says nothing about what’s actually being said.
A topic where you’re mentioned often but described unfavorably is a worse position than a topic where you’re barely mentioned at all. In the first case, AI models are actively shaping how prospects perceive you, and doing it badly, every time someone asks a relevant question. In the second, you have a visibility gap, which is a content problem with a known fix. The first is a reputational risk sitting inside a channel most brands aren’t monitoring at all.
That’s why sentiment is tracked as its own metric rather than folded into a single visibility number. A rising mention count is only good news once you know what the mentions say.
How sentiment score works
Why our sentiment tracking is more reliable
Separated from visibility
Pooled across platforms
Tied to real generated answers
Built for early warning, not just reporting
Feeds directly into action
What you get
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A sentiment score for every tracked topic, pooled across all tracked AI platforms
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Sentiment reported separately from mention rate, so visibility and perception are never conflated
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The specific generated answers behind a topic’s sentiment score, so you can see exactly how your brand is being framed
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Sentiment as a weighted component of your overall Topic Authority score
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Action plan tasks tied to sentiment gaps, identifying the source shaping unfavorable framing so you know what to address
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Full transparency into which prompts were run and what each AI engine returned
A sentiment score for every tracked topic, pooled across all tracked AI platforms
Sentiment reported separately from mention rate, so visibility and perception are never conflated
The specific generated answers behind a topic’s sentiment score, so you can see exactly how your brand is being framed
Sentiment as a weighted component of your overall Topic Authority score
Action plan tasks tied to sentiment gaps, identifying the source shaping unfavorable framing so you know what to address
Full transparency into which prompts were run and what each AI engine returned