Brand sentiment in AI search: how AI engines describe you
How AI engines describe your brand, by topic and against competitors.
How do you measure sentiment in AI answers?
Sentiment distribution and net score. See how AI responses that mention your brand split between positive, neutral and negative, with a net sentiment score and how you compare with competitors.
How do you find the topics AI describes badly?
Sentiment by topic. See which topics AI describes positively and which it does not, such as product quality or customer service, so you know what to fix.
How do you read the answers behind a score?
Every response, readable. Open the response explorer to read each AI answer behind the number, filter by sentiment and see the models and domains behind it.
How it works
- Geonos reads every tracked answer that mentions your brand.
- It scores sentiment by topic, engine and domain.
- You open the answers behind the score and send fixes to optimization actions.
Frequently asked questions
How do I improve brand sentiment in AI generative search engines?
Find the topics and sources behind negative or weak descriptions, fix them or earn better coverage in those sources, and re-measure over many runs.
Are there tools to track brand sentiment in generative AI search?
Yes. Geonos tracks sentiment in AI answers by topic, engine and domain, with the saved answers behind each score.
Part of Sentiment and reputation.
Try it on your own site with a free audit, see how it works for your industry, or see the plans.