How does Vercite know if a mention is positive or negative?

Every tracked run is read for the tone around your brand mention (whether it's recommended outright, hedged with caveats, or dismissed), not just whether your name appears.

Does sentiment tracking cover all five engines?

It depends on your plan. Starter tracks ChatGPT only; higher-tier plans add Gemini, Perplexity, Google AI Overviews and Google AI Mode.

What's the difference between a mention and sentiment?

A mention is your brand appearing in the answer. Sentiment is how it's described once it's there: recommended, hedged, or dismissed. You can be mentioned often and still lose on tone.

Can I compare my sentiment against competitors?

Yes. Any competitor you track gets the same tone reading, in the same responses, so you can see who comes out ahead.

Does tone update as often as prompt tracking runs?

Yes. Tone is read on the same schedule as the underlying prompt (daily or three times a week, depending on your plan), so it's never older than your last tracked run.

Tone of voice

AI sentiment analysis:
How AI describes your brand

Being mentioned is table stakes. The words around the mention (recommended, hedged, listed as an also-ran) are what actually move buyers. Vercite runs sentiment analysis and tone-of-voice tracking across ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode, so you see not just whether your brand is mentioned, but how.

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ChatGPT
Gemini
Perplexity
Google AI Overviews
Google AI Mode

Trusted by leading brands

Hotel & hospitality group

Nordic investment platform

Swedish largest property marketplace

What do you actually see for each mention?

Positive, neutral, or negative

Every mention is read for tone, so you see whether your brand was recommended outright, mentioned neutrally, or described negatively.

The exact wording, not just a score

Read the sentence your brand was described in, not just a number; a score alone can't tell you why it moved.

Tone over time

Track how the wording around your brand shifts run after run, so you catch a change before it shows up in a sales conversation.

Compared against competitors

See whether an engine describes you more or less favorably than the competitors you track, in the same response.

Every answer format, captured

We read tone from whatever the engine renders: shopping carousels, ads, images and other rich formats, not just the plain text answer.

How does AI sentiment tracking work?

01
Add the prompts your customers actually ask
Write your own, or let Vercite help generate the real questions that matter to your category, not generic keywords.
02
Vercite reads how you’re described
Every tracked run is read for tone (whether your brand was recommended, hedged, or dismissed), not just whether it was mentioned.
03
The full context is kept
Each mention is stored with the sentence it appeared in, not just a positive/negative label, so you can see exactly what was said and why.
04
Track how tone changes
Compare tone across runs to see when a shift happens, and what changed around it.

AI sentiment tracking use cases

Catch tone shifts early

See a negative or hedged shift the moment it happens, before it shows up in a client or board question.

Benchmark against competitors

See whether engines describe you more or less favorably than the competitors you track.

Prioritize messaging fixes

Know which claims or pages sit behind a hedged or negative mention, so you know what to fix.

Report tone, not just visibility

Give stakeholders the actual wording behind a sentiment shift, not just a mention count.

Questions about AI Sentiment tracking

Related features

Prompt tracking

Track the exact prompts your customers ask, across every engine, on a schedule.

Citation tracking

See which sources AI engines actually cite when they talk about your brand.

Start tracking how AI actually talks about your brand.

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