How AI describes you, not just whether it mentions you
Being named is only part of the picture. AI answers also describe your brand in a certain tone, and we're building the layer that classifies it.
Why sentiment is the next layer
Citanto already collects the answers AI engines give to your question panel for citation tracking. Classifying whether each answer describes you positively, neutrally or negatively builds on that data. It is on the roadmap and not available today.
Per engine, because tone differs
Each engine draws on different sources, so the tone toward your brand can differ from one engine to another. The plan is to report sentiment per engine, the same way citation tracking is reported today.
Clear about what's live
Citation tracking, competitor analysis, the content engine and the audit are live today. Sentiment is in development, and this page says so rather than implying it has shipped.
How it works
Live today
Citation tracking, competitor analysis, content engine and AI-readiness audit.
In development
Sentiment classification of the answers already collected.
Start with what is live
Run the free AI-readiness audit below, then measure mentions and citations on a paid plan.
Check your site's AI readiness. Free.
Citanto reads your homepage, robots.txt, sitemap and up to 15 pages listed in your sitemap, then checks crawler access, structured data and content signals. See the observed gaps and what to fix first.
Frequently asked questions
What is AI brand sentiment?
AI brand sentiment is the tone an AI answer takes when it describes your brand: positive, neutral or negative. Because each engine draws on different sources, the same brand can be framed differently from one engine to another.
Is sentiment tracking available now?
No, it's in development. Citation tracking, competitor analysis, the content engine and the audit are available today.
Why build sentiment on top of citation tracking?
Because Citanto already collects the AI answers to your question panel to measure mentions and citations. Classifying the tone of those answers extends existing data instead of requiring a separate tool.