AI brand sentiment tool: how AI engines talk about your brand
The AI brand sentiment tool scores how ChatGPT, Perplexity, Google AI Mode, Claude, Copilot and Grok describe your brand next to a competitor, with a score out of 100 and the share of positive, neutral and negative answers.
Updated
- ChatGPT
- Perplexity
- Google AI Mode
- Claude
- Microsoft Copilot
- Grok
Where should we send the sentiment report?
Our team runs the check on the engines you ticked and emails you the scores for both brands.
200 · request received
Thanks. The sentiment report will go to that address.
Sample result
Loopwork scores 76 out of 100, 8 points above Cadence
The AI brand sentiment tool's sample compares two fictional brands on one sample prompt. Loopwork scores 76 out of 100 and 61% of the answers describe it positively, against 68 and 48% for Cadence. Cadence also collects more negative answers, 11% against 7%, which a single score would not show.
| Brand | Score | Label | Positive | Neutral | Negative |
|---|---|---|---|---|---|
| Loopwork | 76 | positive | 61% | 32% | 7% |
| Cadence | 68 | positive | 48% | 41% | 11% |
How it works
Three steps turn two brand names into a sentiment report
The AI brand sentiment tool needs your brand, one competitor and the engines to check. We run category prompts on those engines, score how each answer describes both brands and email you the result: a score out of 100, its label and the split between positive, neutral and negative answers.
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Step 1
Enter two brands
Type your brand and the competitor you measure yourself against. Aliases are matched for both.
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Step 2
Pick the engines
Three engines are ticked by default. Add the others if your buyers use them.
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Step 3
Get the report by email
Leave your work email and company. Our team sends both scores to that address.
Reading the columns
Each brand gets 1 score and 3 shares that explain it
The AI brand sentiment tool reports one score per brand and the three shares behind it. The score runs from 0 to 100 and carries a label, while the positive, neutral and negative shares show how the answers split. Two brands can share a score and still differ on how many answers are negative.
Score
How favourably the answers describe the brand, from 0 to 100. Higher is better.
Label
The score in one word: positive, neutral or negative. It makes the table quick to scan.
Positive, neutral, negative
The share of answers in each tone, adding up to 100%. The negative share points to the answers worth reading in full.
Use cases
Sentiment reports feed 3 kinds of work, one per audience
The AI brand sentiment tool gives each audience a reason to look past visibility. Platforms preview a sentiment column for their customers, agencies bring a tone comparison to client reviews, and brands spot negative framing early. Each card opens the matching pattern.
A sentiment column, previewed
Run the check on a customer brand to see the score a sentiment column would show. The API returns it per brand and per response.
AgenciesTone against the main rival
Put a client's score next to its closest competitor's in the quarterly review. The gap says whether the answers favour the rival.
E-commerce & brandsNegative answers, caught early
Watch the share of negative answers about your brand. When it rises, read the answers to see what the engines repeat.
Comparison
1 of 4 approaches scores sentiment per brand and per answer as data
The AI brand sentiment tool runs on the same data as the AI Visibility API, which returns a sentiment score and label for every brand. An AI scraping API returns no sentiment, GEO dashboard tools cover it partly, and an in-house build pays for a language model and its evaluation on every answer.
| Capability | API for GEO | AI scraping API | GEO dashboard tool | In-house build |
|---|---|---|---|---|
| Sentiment per brand per response | Yes | No | Partly | LLM cost + eval |
| Entity resolution across aliases | Yes | No | Yes, closed | Build it |
FAQ
AI brand sentiment tool, answered
How is the sentiment report produced?
The AI brand sentiment tool runs category prompts on the engines you tick and scores how each answer describes your brand and your competitor. Our team then emails you both scores with their labels and tone shares, which takes longer than an on-screen check but rests on real answers.
What does a score of 76 mean?
The AI brand sentiment tool scores tone from 0 to 100, and 76 carries the positive label: most answers describe the brand favourably. The score alone hides the split, so the report adds the shares of positive, neutral and negative answers that produce it.
Can I compare more than one competitor?
The AI brand sentiment tool compares your brand with one competitor per request, which keeps the report focused on your main rival. Scoring a whole competitive set over time is what the AI Visibility API does: it returns a sentiment score and label for every brand it tracks.
Which engines does it cover?
The AI brand sentiment tool covers six engines: ChatGPT, Perplexity, Google AI Mode, Claude, Microsoft Copilot and Grok. Three are ticked by default and the others can be added in the form, so the score can reflect every engine your buyers use.
Is the sample result real data?
The AI brand sentiment tool's sample uses two fictional brands, Loopwork and Cadence, so it shows the shape of the report without describing a real market. Your own report uses the brand, competitor and engines you enter in the form.