Why Does ChatGPT Get Your Business Wrong?

Write down the wrong fact precisely.

“The description is bad” is difficult to fix. “The answer says our monthly plan includes onboarding, but it does not” identifies a claim and a customer consequence. Save the original answer, date, question and visible sources.

Prioritize information that could affect a decision: the wrong company, unavailable service, obsolete price, incorrect location or a condition omitted from an offer. Tone can matter, but factual errors deserve a separate correction record.

Check what the cited source actually says.

If the answer includes links, inspect the page and relevant passage. The source may contain the error, may be outdated or may not support the statement. Keep those cases separate instead of assuming every confident answer is a faithful summary.

If no source is visible, record that absence. Do not invent a causal story about training data, a directory or a competitor. You can still review the public record for contradictions without claiming to know which one the model used.

Correct the source with the right owner.

Update official information through the team responsible for the fact. Pricing belongs with the offer owner; availability with operations; qualifications with the appropriate reviewer. A correction should be accurate everywhere that fact is maintained.

For a third-party page, use its published correction route and provide the specific factual issue. Avoid sending confidential customer information merely to prove a public description wrong. The fictional example below shows a concise correction brief.

Make the authoritative answer easier to verify.

Publish a maintained page explaining the offer and its conditions. Give the fact a clear context, current status and sensible next step. Link to it from relevant pages so a visitor does not have to reconcile several competing versions.

Google’s helpful-content guidance emphasizes useful, trustworthy information. That principle does not create a deadline by which another system must refresh its answer. Keep the correction record and distinguish a source update from a changed AI observation.

Retest the claim without rewriting history.

Repeat the original question under comparable conditions and keep both records. If the error persists, check which sources are now visible and whether another conflicting source remains. A different answer may be encouraging, but one observation does not establish permanence.

Use the business-fact audit for a wider review. The useful endpoint is an accurate public record and a documented observation, not a claim that you directly edited an assistant’s knowledge.

Sources and editorial scope

This is Arrow AI editorial guidance. Diagrams and examples illustrate a method, not client results or platform ranking factors. Clear information and source access do not guarantee a recommendation. Platform-specific facts are attributed to the sources below.

• Google Search Central: Helpful and reliable content