Brand sentiment

AI brand sentiment analysis See AI's exact words.

Ossvy shows how six AI engines describe your brand: tone, repeated claims and wrong facts.

  • 500+ teams track AI visibility with Ossvy

    For brandsFor agencies

  • Tarnwell Bank
  • Lumevra Living
  • Kestrelbay
  • Quillon
  • Pinehollow Kitchen
  • Ravento
  • Sablecrest
  • Zelvarin
  • Brightmoor Health
  • Halcyra
  • Velloria
  • Ardenfold
  • Marrowgate Media
  • “Seeing exactly where we show up in front of potential customers, and automatically getting action recommendations where we don't, has made our process both faster and stronger.”

    Yunus MeranSEO & GEO Specialist

In short

AI brand sentiment is the tone and content of what AI engines say about your brand. Ossvy classifies every mention as positive, neutral or negative, groups the claims engines repeat, such as price, quality or support, and flags statements that look outdated or wrong so you can correct the sources behind them.

  • Positive, neutral and negative mentions per engine and market.
  • The recurring claims and phrases engines use about you.
  • Flags for outdated or incorrect facts, linked to their sources.

Reputation

How AI describes you, word for word.

Buyers trust the summary an assistant gives them. Ossvy shows that summary for every engine, with its sources.

  • Sentiment trend

    per engine

  • Recurring claims

    strengths and weaknesses

  • Accuracy flags

    wrong or outdated facts

What you get with brand sentiment

  • Sentiment per mention

    Every mention scored as positive, neutral or negative, with the sentence it came from.

  • Themes and claims

    Engines' recurring statements about price, quality, support or trust, grouped by theme.

  • Accuracy checks

    Mentions that contradict your official facts, such as old prices or discontinued products.

  • Competitor comparison

    How your sentiment compares with each competitor for the same prompts.

  • Source tracing

    The cited pages behind negative or wrong statements, so you know what to fix.

  • Employer brand prompts

    Track questions candidates ask, such as 'Is X a good place to work?'

How it works

How brand sentiment works

  1. Step 1:

    Collect mentions

    Every tracked answer that names your brand is analyzed.

    Prompt tracking
  2. Step 2:

    Trace the source

    See which cited pages lead to each negative or wrong claim.

    Citation tracking
  3. Step 3:

    Correct and monitor

    Update or answer those sources and watch the sentiment change.

    Actionable insights

What brand sentiment doesn't do

Sentiment classification is automatic and works best on clear statements. Sarcasm, mixed opinions and very short mentions can be misread, so Ossvy always shows the original sentence next to the score. Ossvy cannot change what an engine says directly; it shows which sources to fix.

Try it on your own brand

The free check shows how three AI engines answer about you, before you sign up.

Check my visibility

Last updated: View as Markdown

FAQ

Brand sentiment FAQ

How do I find out what ChatGPT says about my brand?

Ask it the questions your customers ask, such as reviews, comparisons and 'is X worth it', and read the answers. For a consistent picture across engines and days, Ossvy tracks and scores those answers automatically. Start with the free AI visibility check.

What is AI brand sentiment?

AI brand sentiment is whether AI engines describe your brand positively, neutrally or negatively, and which claims they repeat. It matters because buyers often accept the assistant's summary without checking further. Compare yours with competitors in competitor analysis.

What can I do if ChatGPT says something wrong about my company?

Find the sources the answer relies on, correct or update them (your own pages, profiles, review sites, Wikipedia-style references), and publish a clear facts page. Engines that search the web pick up corrections faster than training-only answers. Ossvy shows the sources in citation tracking.

Why does AI repeat old prices or discontinued products?

Because older pages that mention them still rank or were part of the model's training data. Updating those pages, adding dates and keeping your own pricing page current helps. Track whether the fix worked with prompt tracking.

Can AI sentiment affect hiring?

Yes. Candidates ask assistants about salaries, culture and reviews, and the answers draw on review sites and news. Ossvy can track employer-brand prompts alongside product prompts; HR teams often use it with marketing teams.

How accurate is automatic sentiment analysis?

It's reliable on clear statements and weaker on sarcasm or mixed opinions, so Ossvy always shows the original sentence next to each score. Read trends over many mentions rather than single scores; trends are on AI brand visibility.

Does sentiment differ between AI engines?

Often. Each engine draws on different sources, so one can stress your support quality while another repeats an old complaint. Engine-level views are on pages such as Gemini visibility tracking.

Can I report AI sentiment to leadership or clients?

Yes. Sentiment trends, top claims and example quotes are part of Ossvy's shareable reports, including white-label versions for agencies.

Customer stories

Brands and agencies growing with Ossvy

“Seeing exactly where we show up in front of potential customers, and automatically getting action recommendations where we don't, has made our process both faster and stronger.”

Yunus MeranSEO & GEO Specialist