Understand the complete reputation picture in AI answers
Brand Sentiment Analysis turns raw AI answers into information you can review.
«Nike stands out for design and its range of models, but it is not the cheapest option.»
Signal over time
Illustrative project data
Illustrative data
- ChatGPT
- Gemini
From an answer to information you can interpret
Capture
We ask each selected AI surface your questions on a schedule.
Read
The answer is organized into mentions, topics, sentiment and sources.
Act
Every metric drills down to the exact words behind it.
Every metric, with the exact line behind it
"Verbatim line from a model answer that powered the metric above."
"A second example, neutral in tone but rich in context."
Run an on-demand study when you need more detail than the ongoing sentiment view.
What you can see
The analysis shows overall and per-model sentiment, the mix of positive, neutral and negative language, and the topics behind those readings.
How to use it
Use the results to identify recurring themes and decide what deserves investigation. Recommendations are based on the observed project data, not guaranteed outcomes.
Evidence stays available
Open the relevant monitored answer whenever you need to verify a result or understand its context.
Built to make every result easier to understand
Always evidence first
Open the relevant answer to review the wording behind a result.
ChatGPT, Gemini, Google AI Mode and AI Overview
Side by side, in the country and language you care about.
Export-ready
Send results into a client report or a Slack alert.
Frequently asked
How often does it refresh?+
Choose weekly, every three days or daily; new projects start weekly.
Can I export this?+
Available exports depend on the view and your plan.
Other features
Find out what AI says about your brand
Start by reviewing the questions MentionScore prepares for you.