What is AI brand sentiment monitoring and how does it work?
AI brand sentiment monitoring measures the tone models use when they describe you. Sentiment analysis reads every AI response that names your brand, pulls out the individual phrases used to describe you, and scores each one as positive, negative, or neutral. It runs the same analysis on your competitors, so you can benchmark whose description reads better, which is the part that turns a sentiment score into an actual reputation signal you can work on.
Best practices:
- Track the phrases, not just the score, a number tells you something moved but not what to fix
- Score your competitors alongside you, positive means nothing without a benchmark
- Watch the neutral pile, those are the phrases you haven’t given AI a reason to like yet
Track how AI describes your brand
Head to Reports then Sentiment Network in your Cairrot dashboard. Your brand sits at the center and every phrase AI used to describe you branches off it. Green is positive, red is negative, grey is neutral.
Read every sentiment phrase
Sentiment Phrases under Search is the same data as a table. Each row is one phrase with:
- The date
- which LLM said it
- Which entity it was about
- Whether that entity is you or a competitor
- The sentiment score
Query it three ways with the Builder, Lucene, or AI toggle, pick your columns, and export the whole thing.
How to fix negative and neutral AI brand sentiment
Most brands find their biggest block of phrases is neutral, not negative, and it’s the easiest group to move. Neutral means the models can describe what you do but have nothing to say about why you’re good at it, no differentiator, no proof, no specifics they can repeat. Those phrases are a content gap you can close directly. Negative sentiment usually needs a source removed or outweighed; neutral sentiment just needs you to give the model something worth saying.
AI query generation requires a connected AI service.
Build filters with rules and groups, edit a Lucene query, or enter an AI search request. This standalone component prepares a query; connect a search service to retrieve results.
Benchmark who AI describes better
Add a competitor from the dropdown and their network appears next to yours, their node in purple and yours in blue, each with its own phrase cloud.
Monitor sentiment trends over time
The Trends Report has a Brand Sentiment Trends tab that charts positive, neutral, mixed, and negative confidence across every run, so you can tell whether the work you’re doing is moving the tone or not.
Related features
AEO Competitor Analysis
See who AI recommends in your market. Compare competitors head to head, uncover the topics they lead, and find opportunities to grow your brand’s visibility.
Learn More
AI Share of Voice
See how often AI mentions or cites your brand. Measure your visibility against competitors, compare topics, and track your share of the conversation over time.
Learn More
AI Prompt Tracking
Track the questions your customers ask AI. See which answers mention or cite your brand, compare results across models, and monitor how you perform against competitors.
Learn MoreFAQ
How do I track how AI describes my brand?
Cairrot tracks it in three places:
- Sentiment Network: every phrase AI used to describe you, marked positive, negative, or neutral
- Sentiment Phrases: the same data as a table you can query and export
- Trends Report: how your brand sentiment changes across every run
What is the best AI brand sentiment monitoring tool?
The best AI brand sentiment monitoring tools read every AI response that names your brand, show the individual phrases, score your competitors alongside you, and track sentiment over time. Cairrot does all four. Other AI brand sentiment tools include Profound and Peec AI.
How do I fix negative brand sentiment in AI?
Find the negative phrases in Sentiment Phrases and see which LLM said them. Negative sentiment usually needs a source removed or outweighed, while neutral sentiment needs specifics and proof the models can repeat.
Which AI models does brand sentiment tracking cover?
The same models Cairrot runs your prompts across, including ChatGPT, Perplexity, Gemini, and Google AI Overviews.
How much does AI brand sentiment monitoring cost?
AI brand sentiment monitoring is included on every paid Cairrot plan, with the sentiment network, the phrase table, competitor comparison, and sentiment trends. Plans are $39 per month for Starter, $99 for Pro, and $299 for Enterprise. See pricing for the full breakdown.
Can I export my sentiment data?
Yes, the network exports as PNG or PDF, and the underlying data downloads as CSV or JSON.
Find out how AI describes you
Check out how your brand is showing up in AI search and what AI is actually saying about you. It’s included in every paid Cairrot plan, and you can start with a free AEO report.