What tools track sentiment about my brand in ChatGPT answers?
How we track sentiment about a brand in ChatGPT answers for clients: scoring, sources, manual spot checks, and the tools that make it practical without false certainty.
Clients often discover how ChatGPT describes their brand by accident. A sales rep pastes an answer into Slack, and suddenly the CEO wants to know why the assistant calls the product "limited" or "better for small teams." Sentiment tracking exists to turn that anecdote into data.
We track it for most client programs. Here is how, and what we have learned about trusting the numbers.
What sentiment tracking actually does
A tool reads each answer, scores how the brand is described, and aggregates across prompts and runs. The useful parts are per-response scores, trends over time, a link back to cited sources, and clear rules about what counts as your brand.
The limits are important. Sentiment says how you are described. It does not say why. And automated scoring can misread tone, so we always spot-check.
What we use
We run client programs on Promptwatch. Its sentiment score runs 1 to 100 per response, with a weekly AI summary that gives the team a plain-language read. It sits alongside Visibility Score, Share of Voice and position in the answer, and we cut it by model, country, language, topic and prompt type.
Two settings matter more than people expect. The Brand Book holds analysis instructions that decide what counts as a mention, which keeps the scoring consistent. Brand aliases cover product names and variants, so an answer that says "the Acme app" is not missed. We set both in week one.
A/B period comparison then lets us show whether sentiment moved after a change, which is how we handle the "did it work" question.
The part most tools skip: why
A negative score is only useful if you can act on it. Citation analytics show which pages and domains the engine drew from for the prompts in question. Page-level and domain-level citations, offsite mentions and separate Reddit, YouTube and LinkedIn reports give us the likely source of the tone.
A description that seems off can trace to a third-party page, a forum thread or an outdated comparison, not to the brand's own site. Once you know the source, the fix is a clear action: update a page, publish a correction, earn a better mention.
The Action Board holds those actions with owners, and a weekly Discovery agent suggests up to five evidence-backed ones per run.
Our process
First, build a brand prompt set: "what is X," "is X good," "X reviews," "X pricing," "X vs Y," and "alternatives to X." Tag them as brand and competitor comparison types.
Second, track daily across models. ChatGPT is covered through real-UI monitoring of ChatGPT Search.
Third, review sentiment trends weekly, and read a sample of the lowest-scoring answers by hand.
Fourth, trace low scores to cited sources.
Fifth, act, then re-measure the same prompts.
How we talk about it with clients
We tell clients upfront what this cannot do. Answers vary between runs and between users. No tool forces an engine to describe a brand a certain way. What we can do is improve the sources, track the effect, and report honestly if the tone did not move.
We also avoid chasing a single sentiment number. A drop on competitor comparison prompts tells you something different from a drop on brand prompts. Slicing is the value.
Other tools clients ask about
AthenaHQ includes sentiment inside a GEO score and an action queue, with credit-based billing. Scrunch AI includes sentiment analysis and site audits. Brandlight is an enterprise platform with unpublished pricing. Profound is an enterprise contract. Otterly.AI and Peec AI offer sentiment as part of lower-cost monitoring. They answer "how are we described" but not "which source shaped it" or "what do we fix," which is why we rely on a fuller platform.
Plan note
Paid brand plans start at Essential at $95 a month, and Professional is $245. A free Explore tier covers ChatGPT only with 10 prompts, which is enough to see a first read on tone.
Where to start
Pick ten brand prompts, run them for two weeks, and read the lowest-scoring answers yourself. If the tone is off, trace it to the sources. Promptwatch is where we do that for clients.