How to Fix Outdated AI Answers About Your Business

A customer asks ChatGPT whether your dental practice takes their insurance. The answer says no. You started taking that plan eight months ago. You lose the appointment and never know it happened.

This is the newer, quieter version of a problem business owners already understand from Google: the internet keeps repeating things about you that used to be true. The difference is that AI engines flatten all those sources into one confident sentence, and the customer rarely clicks through to check. So the wrong fact does more damage, and it is harder to trace.

Here is how to figure out where a stale answer comes from and how to push a correction through the systems that produce it.

Why AI answers lag behind reality

There are two separate machines producing answers, and they go stale for different reasons.

The first is the model itself — the trained weights behind ChatGPT, Gemini, or Claude. That model was frozen at a training cutoff and only "knows" what was common across the web up to that point. If your old hours appeared on fifty pages and your new hours appear on three, the model has absorbed the old version as the default.

The second is the retrieval layer — the live search that engines like Google AI Overviews, Perplexity, and the browsing versions of ChatGPT run before answering. This pulls from a current index, so it can be fresher, but it is only as good as the pages it finds and how consistent they are.

When you see a wrong answer, your first job is to work out which machine produced it. Ask the engine the same question with browsing on and off, or ask it to cite sources. If it names a specific page, you have a retrieval problem you can fix directly. If it answers with no source and no browsing, you are up against baked-in training data, which takes a slower, indirect approach.

The facts that go stale fastest

Not everything about your business matters equally to an AI answer. These are the fields that get quoted most and change most often:

• Business hours, especially seasonal or holiday changes
• Service area — the towns or radius you cover
• Pricing, minimums, and "free consultation" claims
• Services you added or dropped
• Insurance plans, certifications, or licenses
• Phone number, address, and booking method
• Staff and leadership, for firms where the named partner matters

A useful habit: keep a one-page "fact sheet" for your business with the current, correct value for each of these. You will reference it constantly when auditing, and it becomes the source of truth you copy from everywhere.

How do I find out what AI says about my business right now?

Run the same set of questions across three or four engines and write down the answers verbatim. That is the whole audit, and most owners have never actually done it. Open ChatGPT, Google (watch for the AI Overview), Perplexity, and Gemini, and ask the questions a real customer would ask:

1. "What are [business name]'s hours?"
2. "Does [business name] serve [nearby town]?"
3. "How much does [your main service] cost at [business name]?"
4. "Does [business name] do [service you actually offer]?"
5. "Is [business name] still in business?" (worth checking — closures get cached hard)

Paste each answer into a spreadsheet with three columns: what the AI said, what is actually true, and where the AI got it (ask it to cite sources). Now you have a punch list. Anything in the "wrong" pile is a task; anything the AI got right tells you which of your sources it trusts.

Fixing a retrieval error: the worked example

Suppose an HVAC company in Tucson changed its hours from 8–5 to 7–7 and now offers weekend emergency service. Perplexity still says "Monday to Friday, 8am to 5pm" and cites the company's own contact page plus a directory listing.

Here is the fix, in order:

1. Correct the primary source first. Update the hours on the website — but not just in the footer. Put them in visible body text on the contact page and homepage ("Open 7am to 7pm daily, with weekend emergency service"), because AI retrieval reads sentences more reliably than it reads a styled hours widget.
2. Update the structured data. Correct the openingHours field in the LocalBusiness schema. This is the machine-readable version and it removes ambiguity.
3. Fix the big directories. Google Business Profile, Bing Places, Apple Business Connect, Yelp, and your industry directories. These feed both maps and the retrieval indexes.
4. Hunt down the stale citations. The old directory listing that Perplexity quoted is the actual culprit. Claim or correct it. If it is an aggregator you do not control, use their data-correction form.
5. Re-ask after a couple of weeks. Retrieval indexes refresh on their own schedule. If the correct hours are now on every source and the answer is still wrong, the engine is caching an old crawl and will catch up.

The order matters. If you fix the directories but leave a contradiction on your own site, the AI sees conflicting sources and may keep quoting the wrong one because it has no way to know which is current.

Making the correct fact easy to trust

AI engines resolve contradictions by weight and consistency. When five sources say one thing and two say another, the majority usually wins — regardless of which is true. So the strategy is not just "publish the right fact once." It is to make the right fact appear more often, in more places, than the wrong one.

Three things help:

• Date-stamp the fact. "As of March 2025, our standard service call is $89." A dated statement signals currency, and it gives the engine a reason to prefer your page over an undated older one.
• State it as a full sentence. "We serve Tucson, Marana, Oro Valley, and Vail" is easier to extract than a bulleted map graphic. Write the fact the way you want it quoted back.
• Put it where the question gets asked. If people ask about pricing, the pricing needs to be in text on a pricing page, not locked in a PDF or an image.

How long does it take for AI to update after I fix my website?

For retrieval-based answers, expect anywhere from a few days to several weeks, because it depends on how often that engine re-crawls your pages and refreshes its index. Answers that come straight from a model's training data can take much longer — potentially until the next model version — because there is no live lookup happening. You cannot force a training update, but you can influence what the next one learns by making the correct fact the dominant version across the web now. The engines that browse live will pick up your change fastest, so prioritize getting your own site and the major directories consistent, then let time do the rest.

A recurring check that takes fifteen minutes

Facts drift, so the audit is not a one-time job. Once a quarter — or right after any change to hours, pricing, or services — re-run the five questions above across your engines. Keep the spreadsheet. When something is wrong, you already know the fix sequence: primary source, structured data, directories, stale citations, re-check.

Firms that manage a wide question-space across many pages sometimes hand the monitoring and correction cadence to a content partner — this is part of what we do at ClearPath Content — but the mechanics above work whether you do it yourself or not.

The practical takeaway: AI does not check whether a fact about you is current, it checks whether it is common. Your job is to make the true version the common one, keep it in plain text, stamp it with a date, and re-run the audit every quarter so a stale answer never quietly costs you customers.