There is a difference between “does AI mention us?” and “is what AI says about us right?” The first is a citation question; the second is about framing, accuracy and sentiment — the actual words an engine puts in front of a buyer. Both have the same root cause and the same lever: AI engines compose each answer from the sources they can read about you, so the way to improve the answer is to improve the sources. We build Cituna; the tool facts below are read from each vendor’s own page, the same dated source behind our full AI visibility tools comparison.
What shapes an AI answer about your brand
Three inputs decide what an engine says about you, and all three are things you can move:
- Your own pages. The clearest, most quotable, best-structured source an engine can find. If no page of yours states the correct answer plainly, the model fills the gap from elsewhere — or guesses.
- The third-party pages it cites. Reviews, roundups, directories, Reddit and comparison posts. These frame you, and often outrank you as sources. Our guide to how AI shapes brand perception goes deeper on this.
- Training data. What the model absorbed before its cutoff. The slowest to change, but it still responds, over time, to a consistent, accurate public record.
The thing no tool can do:
The four steps to a better answer
- Audit what each engine says now. Not just whether you are named — the exact wording, the sentiment, and which brands and pages are cited instead. Do it across engines, because they disagree: an answer that is fine on ChatGPT can be wrong on Perplexity. See AI brand monitoring.
- Fix wrong or missing facts at the source. Correct your own pages first, then the third-party pages the engine leans on. Where the problem is a stale or inaccurate external source, our guide to fixing wrong AI information covers the outreach and correction path.
- Publish the material engines quote. Clear comparisons, FAQs, definitions and specifics, marked up with structured data so an engine can lift the exact claim. This is generative engine optimization in practice — see how to optimize content for AI engines.
- Re-check daily. AI answers vary run to run, so a single before/after can mislead. Daily re-asking is the only way to separate a real improvement from noise, and to catch an answer that regresses when a competitor publishes.
The tools, by what they do for brand answers
| Tool | Shows the answer & who’s named | Scores sentiment | Writes/publishes the fix | Entry price |
|---|---|---|---|---|
| Cituna | Yes, 7 engines daily | No | Yes — schema, FAQ, llms.txt, articles, published | $39 |
| Peec AI | Yes | Yes | No | $95 |
| Scrunch AI | Yes | Yes | Site audits (findings) | $250 |
| Omnia | Yes | Yes | Weekly action plans | €79 (~$85) |
| Gauge | Yes | No | Bundled articles (18/mo) | $599 |
| Goodie AI | Yes | No | Optimization actions | $399 |
| AthenaHQ | Yes | No | Paid agent (findings) | $0 → $295 |
Capabilities and prices read from each vendor’s own page (see /compare for the dated source). “Scores sentiment” means a dedicated sentiment metric, not a one-off grade. Cituna writes and publishes the fix but does not score sentiment — a real, stated gap.
To measure sentiment specifically — how warmly or critically an engine describes you, over time — see how to measure brand sentiment in AI answers.
Monitor, score, or fix — pick for the job
- If the problem is “I don’t know what AI says about us”: start with a monitor. Nearly every tool here does this; the question is how many engines and how often.
- If the problem is “AI describes us wrongly or coldly”: you need sentiment scoring to measure the shift — Peec AI, Scrunch or Omnia — plus source work to cause it.
- If the problem is “we see the gap but nothing changes”: you need something that writes the fix. Cituna generates and publishes the source changes; Gauge and Goodie bundle written content. A dashboard alone will not move the answer.
Where Cituna fits
We build Cituna, and it is on the honest side of its own table. It asks seven engines — ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews and Google AI Mode — your buyer questions every day, shows the exact answer and who is named instead, and then writes the fix for each gap: the schema, FAQ markup, llms.txt and content that make the correct answer easy to find and quote, and publishes articles to your site. It ties the result back to real clicks through Google Search Console. What it does not do: score sentiment as a metric — for that, Peec, Scrunch or Omnia are the right tools — and it does not track Microsoft Copilot. Plans are $39 / $119 / $399 on our pricing page.
Next: fix wrong AI information about your business, how AI shapes brand perception, and — if you are still choosing a tool — the best AI visibility tools compared, ours included.
Drafted with AI assistance from our own research and Search Console data, and reviewed by Rahul A before publishing. Rules and prices change; check the linked official source before you act.