AI visibility vs AI accuracy: why mention counts don’t tell you when AI is wrong
Most GEO tools answer one question: does AI mention you? There is a second question they don’t answer: is what it says true?
AI visibility is whether ChatGPT, Perplexity or Google’s AI Mode mention your brand. AI accuracy is whether what they say about it is true. Most GEO tools measure the first. A high visibility score can sit next to a wrong claim about your prices, your delivery or your product, and the score won’t show it.
Two different questions
| AI visibility | AI accuracy | |
|---|---|---|
| The question | Does AI mention us, and how often compared with competitors? | Is what AI says about us true, and where did it get it? |
| What you measure | Mentions, share of voice, rank in the answer, cited domains, sentiment | Each claim, the source it rests on, and whether the source supports it |
| How it’s usually done | Monitoring tools run a set of prompts every day or week and count | Someone reads the answers and the sources behind them |
| What you do with it | Track progress, compare with competitors, spot new prompts to win | Fix a product problem, correct a page, answer a misunderstanding, find the real source of a complaint |
Both are useful. They answer different questions, and a tool built for one rarely answers the other.
What visibility tools measure well
Monitoring tools are good at scale. They ask the same prompts across several assistants on a schedule and tell you how often you appear, where you rank against competitors, which domains get cited and whether the tone is positive or negative. If your question is “are we showing up more this month than last?”, that is the right tool.
What they mostly record is that a claim appeared, not whether it holds up. A sentence like “customers often complain about late deliveries” counts as a mention with negative sentiment. It doesn’t tell you whether deliveries are actually late, or where the assistant got that idea.
Why visibility doesn’t tell you accuracy
In October 2026 we asked ChatGPT, Google AI Mode and Perplexity eight buyer questions about Factor, the US prepared-meal subscription, and read every Reddit thread they cited, comment by comment. A visibility tool would have recorded plenty of mentions. Reading the sources showed five different kinds of problem, none of which a mention count reveals. The full test is in We fact-checked what AI says about Factor.
- Contradicted by the source. Perplexity and ChatGPT listed unreliable deliveries among Factor’s common complaints. The most-upvoted thread we read, used by Google AI Mode, says the opposite:
Factor excels in delivery.
- Accurate, but missing what matters. ChatGPT correctly described a viral complaint about a $13 shrimp meal. It left out that the thread’s top reply was about a competitor, and that 31 of its 164 commenters, by our count, mentioned that competitor.
- Cited after it was removed. One thread ChatGPT cited for complaints had been deleted by its author. Its most-upvoted remaining reply was a balanced review that opened with the positives.
- Old evidence for a current question. For “Factor vs CookUnity”, Google AI Mode cited a thread from July 2022 that mentions a problem from four years earlier.
- True only in some cases. A complaint that you must enter a card to see the menu turned out to apply to Factor Canada on a mobile browser.
Each of these calls for a different fix: a product change, a clearer page, a current comparison, or looking at a review site instead of Reddit. You only know which once you have read the source.
Even ChatGPT draws the line
On 14 October 2026 we asked ChatGPT, with search on, which tools can check what it says about a brand. It recommended several visibility trackers, then added a caveat in its own words: a visibility score alone won’t tell you whether a statement is factually wrong.
For finding specific false claims, it suggested starting with manual testing and concluded that accuracy matters more than a high visibility score.
How to check accuracy yourself
- Write the questions buyers ask. Include your weak spots: “[brand] complaints”, “is [brand] worth it”, “[brand] vs [competitor]”, “[brand] alternatives”.
- Ask several assistants with web search on, and save each full answer with its links. A screenshot of the answer without the sources is not enough.
- Split each answer into claims. “Portions are small”, “delivery is unreliable”, “cancelling is hard”.
- Open the source behind each claim. Does it say that? Is it current? Was it removed? Is it about one country, one plan or one period?
- For forum threads, count people, not posts. One angry customer posting ten times is not ten customers. Note who disagrees, too.
- Sort what you find. True and widespread, true only in some cases, out of date, not supported by the source, or coming from somewhere else entirely.
Done by hand, ten questions on three assistants is thirty answers, and a single cited Reddit thread can run to hundreds of comments. Expect it to take a day or more, which is why most teams do it once and stop.
Which do you need?
| Your situation | Start with |
|---|---|
| You want to know whether AI mentions you at all, and track it over time | A visibility tool |
| You are comparing your share of AI answers with competitors | A visibility tool |
| A customer, prospect or your boss quoted something AI said about you that seems wrong | An accuracy check |
| AI keeps repeating a complaint and you don’t know if it’s still true or where it comes from | An accuracy check |
| You need evidence for a product, PR or content decision | An accuracy check |
Many brands will want both: a tracker to watch the trend, and an accuracy check when something in the answers matters enough to act on.
Where Valtaris fits
Valtaris is an accuracy check. It asks ChatGPT, Perplexity and Google AI Mode up to ten questions your buyers ask, reads up to eight Reddit threads they cite, and gives every claim a verdict: holds up, only true in some cases, disputed, contradicted, or not in these threads. Each verdict comes with verbatim quotes, links to the comments, and how many different people back it or disagree. It doesn’t run daily monitoring and doesn’t crawl your website; pair it with a visibility tool if you need those.
To see what ChatGPT says about your brand first, try the free AI visibility checker. For the full method, see GEO audit.
Questions
Is a GEO audit about visibility or accuracy? It can cover both. Most GEO audits focus on visibility and technical access. An accuracy check is the part that reads the sources behind each claim.
Can I make ChatGPT stop saying something wrong? Not directly. You can fix the cause (the product, your own pages, a review profile) and report wrong answers to the assistant. Checking accuracy tells you which cause to fix.
Why does AI repeat things that aren’t true? It summarises its sources, and a summary of a long thread loses context: who disagreed, when it was written, whether it applied to everyone. Sometimes the source was removed or is years old.
How often should I check accuracy? Once for a baseline, then after a product or pricing change, a wave of complaints, or every quarter. Answers change as their sources change.