AI sentiment monitoring tools for brands: how to track what ChatGPT and Perplexity say about you
AI sentiment monitoring tools for brands compared: how each scores the tone of AI answers about you, what else it tracks, and what the plans cost.
Brand sentiment used to mean tweets, reviews and press. Now there is another place your brand gets described: the answer an AI assistant gives when someone asks "is X any good?" or "X vs Y". That description is generated, it changes between runs, and no social listening feed captures it.
AI sentiment monitoring tools try to measure it. They are not all measuring the same thing, so it helps to know what to look for.
Two kinds of sentiment, two kinds of tool
Sentiment of AI answers. The tone of what ChatGPT, Perplexity, Gemini, Google AI Overviews and others say about your brand when asked, across a set of prompts. This is what most readers of this page want.
Sentiment of the sources behind them. Social, news and review monitoring that has been extended to AI. These tools start from the media you already monitor and add AI answers on top.
Both are useful. The difference decides which category you shop in.
What to check in any tool
- How it scores. A per-response score is more useful than one blended number, because you can read the answers behind it.
- What counts as a mention. Brands with common names need rules, or the data fills with noise.
- Engines. Check which are tracked through real interfaces and which through API.
- Sources. A negative tone is only fixable if you can see which pages feed it.
- Cadence. Answers vary between runs, so daily sampling is better than weekly.
The ranking
1. Promptwatch
Promptwatch reports sentiment as a per-response score from 1 to 100, with a weekly AI summary, alongside Visibility Score, Share of Voice and Position in Answer. Prompt panels run daily per model, country and language. You can roll sentiment up by topic, persona or competitor, and the A/B period comparison shows movement between two windows.
Two features make the sentiment useful rather than decorative. First, the Brand Book: its analysis instructions decide what counts as a mention, which keeps a common brand name from polluting the data. Second, the citation layer: because Promptwatch shows which pages and domains the models cite, including Reddit, YouTube and LinkedIn reports and offsite mentions, you can trace a negative description back to the source that feeds it. That is the step most sentiment dashboards stop short of.
Real-UI monitoring covers ChatGPT (Search), Google AI Overviews, Google AI Mode, Microsoft Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI. Claude, DeepSeek, Mistral and Grok are tracked via API. Explore, the free tier, is ChatGPT only; paid plans start with Essential at $95 a month.
2. AthenaHQ
AthenaHQ rolls tracking into a GEO score and turns gaps into actions through an Action Center. We did not find sentiment as a named feature on its published pricing page. Starter is $295 a month with credits.
3. Scrunch AI
Scrunch AI lists sentiment analysis among its features, alongside site audits and bot traffic reporting. Core is $250 a month and tracks four LLMs.
4. Profound
Profound is an enterprise product sold as marketing agents, with AI search as one channel. Pricing is custom, with an earlier estimate of about $40k a year.
Other tools worth knowing
| Tool | Sentiment angle | Price as recorded |
|---|---|---|
| LLM Pulse | Mentions, share of voice, sentiment and citations; weekly cadence by default | From €49/mo |
| Trakkr | Brand visibility, citations and perception across eight models | From $100/mo |
| Brand24 | Social listening extended with an AI Visibility add-on | Add-on; price not published |
| Meltwater GenAI Lens | AI prevalence, share of voice and cited sources inside a PR monitoring suite | Not published |
| Muck Rack Generative Pulse | Sentiment and cited sources tied to journalists and outlets | Not published |
| Sprinklr LLM Insights | Visibility, sentiment and citations inside Sprinklr; prompts built from your own listening data | Not published |
The last four suit communications teams that already pay for those suites. They start from media monitoring and add AI answers. They are less likely to show crawler logs or visitor conversions.
What sentiment tracking cannot do
It cannot make an AI assistant speak well of you. It shows how answers describe you on the prompts you sampled, and a sample is not every user's experience. A positive average can hide one bad prompt, and a negative one may come from a single outdated source. Always read the underlying answers.
What to do with the result
- Read the negative responses, not only the score.
- Find the cited sources behind them.
- Fix what you own: outdated pages, missing pricing, unclear positioning.
- Address what you do not own through accurate, honest outreach.
- Re-run the panel and compare periods.
Who should pick which
If you want sentiment tied to causes and traffic, Promptwatch is the better fit. If you are a PR or comms team living in Meltwater, Muck Rack or Sprinklr, ask about their AI modules first. For a low-cost start, LLM Pulse is an option if weekly data is enough.