Being mentioned is not the same as being recommended
Being mentioned is not the same as being recommended.
Sentiment trend
Daily sentiment score across all answers
Illustrative data
- ChatGPT
- Gemini
From raw answer to actionable metric
Score every mention
Each appearance is rated from positive to negative on a calibrated scale.
Tag the context
Recommendation, comparison, explanation, passing mention — context matters.
Track the curve
See sentiment recover after a fix, or dip before it becomes a real problem.
Every metric, with the exact line behind it
"I'd actively recommend X for enterprise — their SLA, SSO and audit log are best-in-class."
"Some users report a steep learning curve in the first week."
"If you need something cheaper, look at Y or Z; X stays the premium option."
A model can name you and still talk you down. AI Sentiment Analysis reads the tone of every mention so you know not just whether you appear, but how you come across when you do.
What AI Sentiment Analysis does
We score each mention from positive to negative and roll it into a clear distribution across all your answers. Then we go a step further and tag the context each mention sits in, whether the model is recommending you, comparing you, explaining you, or just naming you in passing.
You get the trend over time, so you can see sentiment recover after a fix or slide before it becomes a problem, and the entities most often tied to your name.
Why it matters for GEO
Two brands can have identical presence and completely different outcomes. The one the model recommends wins the deal. The one it merely mentions does not. Sentiment turns "we appear sometimes" into "we appear, and here is how favorably", which is the number that actually predicts revenue.
Honest by design
We deduplicate by the fingerprint of each snippet, so the same sentence never inflates your score by being counted twice. And every reading is backed by the words the model used, never an opaque verdict.
For a deep, on demand audit, see Brand Sentiment Analysis.
Built to move real numbers
Deduplicated by fingerprint
The same sentence never inflates your score twice.
Context, not just polarity
A neutral recommendation is worth more than a positive passing mention.
Every score is auditable
Click any number and read the words the model used.
Frequently asked
What scale do you use?+
0 to 100, calibrated against a labelled corpus of real LLM answers.
How is sentiment different from Brand Sentiment Analysis?+
Sentiment runs continuously; Brand Sentiment Analysis is an on-demand deep audit.