What does an AI answer accuracy check tell you?
It tells you whether what AI engines say about your business is true. Wrong hours, an office that closed, an old price or a service you never offered can all turn up in AI answers.
The term answer accuracy refers to comparing each claim an AI engine makes about your business against a fact sheet you have approved.
Being mentioned is only half the job. If the details are wrong, a customer may call an old number or drive to an office that moved last year. Our guide on when AI gets your business wrong explains why this happens.
Why does ChatGPT show wrong information about my business?
Often because it is repeating a page that is wrong or out of date. An old Yelp page, a stale BBB profile or a directory that never heard about your move can all feed an answer.
Listings carry more weight than many businesses expect. Yext studied 6.8 million AI citations across ChatGPT, Gemini and Perplexity from July and August 2025. First-party websites made up 44% of citations and listings 42%. In healthcare, listings were 52.6%.
ChatGPT also has a direct line to Yelp now. A July 2026 deal gives it access to Yelp reviews, ratings, photos and business details, as Search Engine Land reported. So whatever sits on your Yelp page may show up in ChatGPT answers.
Engines can also mix up two firms with similar names, or state a detail with no real source at all. That is known as a hallucination.
How does Axiom GEO check AI answer accuracy?
It compares every answer with a fact sheet that a person has approved.
- Build the fact sheet. A draft is made from your website, your Google Business Profile and your brief.
- Approve it. A person reviews and approves it, so the checks rest on facts you have signed off.
- Split answers into claims. Each answer is broken into single claims, such as an address, a price or a service area.
- Check each claim. Every claim is marked correct, partly true, wrong, out of date or not covered.
- Review the flags. A second check reviews anything flagged, which keeps false alarms low.
- Group into issues. Similar problems are grouped, with the engines that said it, how many answers and a suggested fix.
Checks run on a schedule you set, for example every 14 days.
What do the verdicts mean?
Each claim gets one of five verdicts.
| Verdict | What it means |
|---|---|
| Correct | The claim matches your fact sheet |
| Partly true | Some of it is right, but part is wrong or missing |
| Wrong | The claim goes against your fact sheet |
| Out of date | It was true once, but no longer is |
| Not covered | Your fact sheet doesn't say either way |
"Not covered" often shows a gap in your fact sheet, or a detail you have never published clearly.
How do you find where a wrong detail came from?
When an engine cites pages, each claim links to the page cited for it. ChatGPT and Perplexity cite pages. Gemini now names its sources too, because it is asked with Google Search switched on.
Claude is asked without web search and names no source. For answers like that, a source finder does the digging. It searches the cited pages, your own website, pages other engines cited for the same question, and Google. It then shows the pages that state the wrong detail, with the matching text.
The page might be an old landing page on your own site. It might be a listing on Yelp, Bing Places or Apple Business Connect, or a profile on Healthgrades, Zocdoc or Avvo.
How are locations and offers handled?
Locations and offers each have their own list, with start and end dates. That lets the checks spot an office that has closed or a promotion that has ended.
Each list has one setting that matters a lot. If you mark a list as complete, anything not on it is flagged. If it is not complete, only details that can be proven wrong are flagged. A dental group in Phoenix with a known set of offices might mark its list complete. A Texas HVAC company still adding service areas might leave it open. This helps multi-location brands most.
Why does AI answer accuracy matter for US businesses?
Because more Americans act on what AI tells them. In the BrightLocal Local Consumer Review Survey 2026, 45% of US consumers had used ChatGPT or other AI tools for local business recommendations. And 40% said they trust AI platforms for business recommendations.
Clicks are also scarcer. Pew Research Center found Google users clicked a normal result in 8% of visits when an AI summary appeared, against 15% when none did. The mentions you do get need to be right.
No tool can make an AI engine say the right thing. What you can do is fix the pages it relies on and make your facts clear everywhere. The entity audit helps with the second part.
What do you see on screen?
You see an accuracy score over time and per engine, with open issues underneath. Issues can be sent to Work as tasks, with the evidence attached. When later answers stop repeating the error, the issue is marked fixed.
Who uses it?
Local businesses use it to keep hours, service areas and offices right. Regulated firms use it to catch claims they could never make, such as an answer saying a Chicago personal injury law firm guarantees a win. Agencies use it across clients, and can keep accuracy hidden from client users until staff turn it on.
Answer accuracy is on the Professional plan and above, billed in pounds sterling. The pricing page shows an approximate US dollar figure. Axiom GEO is run from the UK and works for US brands and agencies, and the US hub has more.
Where it fits
Accuracy checks read the answers collected by the AI visibility tracking tool. Work turns each issue into a task and measures whether it cleared. The entity audit and Perplexity, Gemini and Claude tracking help you understand how each engine forms its view of you.