What's the best way to check if AI search tools have outdated info about my business?
The best way to check if AI search tools have outdated info about your business is a repeatable prompt audit plus a source trace. Here is the method and the tools.
An AI assistant tells a customer your office closed, your product costs last year's price, or that you still offer a service you dropped. You find out from an annoyed email. This is a real problem, and it is also checkable. The best way is not a one-time search. It is a repeatable audit with two parts: ask the engines the questions customers ask, then trace any wrong answer back to the source it came from.
Why AI tools get business facts wrong
Engines assemble answers from what they can find: your website, business listings, review sites, directories, news, forums and older cached or trained knowledge. If any of those still carry an old fact, the answer can too. Some typical culprits:
- An old address, phone number or opening hours on a third-party directory.
- Pricing quoted on a review or comparison page that was never updated.
- A product or service page you removed but that others still reference.
- Two sources that disagree, leaving the engine to pick one.
So the fix is rarely "tell the AI." It is "correct the sources it reads," and the audit tells you which ones.
Step 1: write the questions customers ask
List 20 to 30 prompts that touch facts about you:
- "What are the opening hours of [business] in [city]?"
- "How much does [product] cost?"
- "Does [business] offer [service]?"
- "Who owns [business]?" or "Where is [business] based?"
- "[Business] vs [competitor]: pricing and features."
- "Is [business] still operating?"
Include a few that do not name you, such as "best [category] in [city]," and see whether the description of you is accurate when you do appear.
Step 2: run them across engines, more than once
Test ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini and Copilot. Run each prompt several times and from the countries you serve. Answers vary between runs, so a single wrong answer might be an outlier, while a repeated one is a pattern. Record every answer verbatim and what sources it cites.
Step 3: trace each error to a source
This is the step that makes the audit useful. For every wrong fact, open the cited sources and find where the old information lives. Then check the official places you control:
- Your own website, including footers, contact pages, pricing pages and structured data.
- Your Google Business Profile.
- Bing Places.
- Major directories and review sites that list you.
- Press pages and partner sites that describe you.
Fix your own pages first. Update listings next. For third-party pages you do not control, request a correction.
Step 4: re-check on a schedule
Facts change, and so do answers. Re-run the set monthly, and after any real change such as a move, a price update or a product launch.
Tools that make the audit repeatable
| Tool | How it helps with outdated info | Entry price |
|---|---|---|
| Promptwatch | Daily prompt runs with stored responses, citation analytics, Brand Book, offsite mentions, Page Tracker, per-response sentiment | Free Explore (ChatGPT only); paid from $95/mo |
| AthenaHQ | Prompt tracking and GEO score with sentiment analysis | Free Essential; Starter $295/mo |
| Scrunch AI | Monitoring, sentiment analysis, site audits | Core $250/mo |
| Qwairy | Lists a Fact Check module, still in beta | From €79/mo |
| HubSpot AEO | Brand visibility and citation analysis on three engines | $50/mo |
Why Promptwatch is a good fit
Be clear about what no tool does: none that we know of automatically verifies your facts against reality and tells you what is wrong. What a platform does is run your prompts repeatedly, store every response so you can read exactly what was said, and show you the sources behind it.
Promptwatch does that well. Prompts run daily per model, country and language, so you see how answers differ by market. You can add brand prompts that ask factual questions about you and read the stored responses. Citation analytics show the pages and domains behind each answer, and offsite mentions show where third-party pages name your brand without linking. That is how you trace a wrong fact to a stale directory or review page. The Brand Book holds aliases and instructions so your product names are counted correctly, and Sentiment scores each response with a weekly summary.
The Page Tracker can follow specific URLs, including third-party pages that carry the wrong information, so you can see whether they keep getting cited. The Action Board turns findings into a prioritized list, and Agent Chat lets you question your own data in plain language. Plans start at $95 a month on Essential.
Qwairy lists a Fact Check module, though it is still in beta. The other tools help you see how you are described, but we found no published feature for flagging factual errors.
What you cannot do
You cannot submit a correction to ChatGPT and have it applied everywhere. There is no editor. Some engines offer feedback buttons, and those are worth using, but the dependable lever is the underlying sources.
You also cannot guarantee a particular answer. Engines vary between runs and update their models. The aim is fewer wrong answers, with evidence of progress.
A checklist to start today
- Write 20 factual prompts about your business.
- Run them on five engines, twice each.
- Log wrong answers and their cited sources.
- Fix your site, Google Business Profile and Bing Places first.
- Request corrections on third-party listings.
- Re-run monthly and after any change.
If you are scaling this beyond one location or brand, a platform saves the hours that manual checking eats up.