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Question, assistant, date and wrong sentence, first of all.
AI errors about your brand
If ChatGPT or another assistant says wrong things about your business, the error almost always comes from a source: outdated, ambiguous, about a namesake, or missing. Find out how to document it, trace the source, fix it and check that the answer changes.
In brief
An assistant that gets a business wrong usually repeats information taken from elsewhere or fills a gap. A lasting correction goes through the pages the model reads, not through an argument with the chat.
Question, assistant, date and wrong sentence, first of all.
Look for the page that says the same thing: yours, a third party’s or none.
Update the source, then repeat the same question over time.
Five types of error
Errors about a brand are not all alike. Recognising the type tells you straight away where to look for the cause and who can act.
Five types of error an assistant can make about a business, an invented example for each and the origin it usually comes from.
| Type of error | Made-up example | Likely origin |
|---|---|---|
| Outdated fact | Opening hours or a price from two years ago. | An old page still online and cited. |
| Namesake | The brand confused with a company of the same name. | No source that tells the two companies apart. |
| Wrong attribution | A competitor’s product assigned to you. | A badly written comparison or list. |
| Invented fact | An office or a service that does not exist. | A gap: no clear source on the point. |
| Outdated judgement | A problem already solved described as current. | Reviews or articles never followed up. |
First of all
Before fixing, record the error in a ticket: without the exact question, date and assistant you will not be able to tell whether the answer really changed after the fix.

An example ticket for an error about a fictional brand: question, assistant and date, wrong sentence, correct fact with its source and next step.
From the answer to the source
The path is always the same: repeat the question to rule out a one-off, find the source, fix it where possible, report the answer and come back to check.
The five steps by which a recurring error in an AI answer is traced back to its source, fixed and then checked over time.
Several times and on different days: an isolated error matters less.
The cited pages or those that say the same thing.
Your site right away, third-party pages with a documented request.
With the assistant’s feedback tool, if there is one.
The same question weeks later, recording the result.
Who can fix it
Some sources depend on you, others on third parties with their own rules. Respecting those rules makes the correction faster and more credible.
The most frequent sources behind errors about businesses, who controls them and the proper route to request an update.
| Source | Who controls it | How to fix it |
|---|---|---|
| Your site | Your team. | A clear, dated page that answers the question. |
| Business profiles and directories | The owner, after verification. | By updating the profile the business has claimed. |
| Collaborative encyclopedias | The community of editors. | By proposing the change with sources, respecting the conflict-of-interest rules. |
| Press and trade sites | The editorial team. | A request for correction with documents. |
What to avoid
Haste pushes towards fixes that do not correct the source of the error and that, over time, can damage the brand’s credibility with customers.
Pages full of repeated sentences do not make a fact any truer.
They are prohibited and, if discovered, become the news themselves.
Answers vary: an error must be confirmed before acting.
Frequently asked questions
Short answers to the most common doubts when an AI assistant gets your brand wrong: what hallucinations are, how to report them to providers, how long a correction takes and how to handle personal data.
It is a statement presented as true that has no support in the sources. About businesses, it often arises where clear information is missing.
Correcting it in one conversation does not change the answers others get. Use the assistant’s feedback tool and work on the sources.
There is no fixed time: it depends on when the sources are reread and on the assistant’s mode. That is why you check again over time.
For personal data, the GDPR provides a right to rectification (Article 16). Assistant providers have dedicated channels for privacy requests.
Related paths
The guides explain the concepts with examples on fictional brands. From here you continue with the other guides, the methodology and the features that apply them to your brand.
Guides on GEO, AEO, AI visibility, online reputation, reviews and monitoring: what to check, a worked example and the steps to act.
ReadHow TrustInsider works in six steps: brand, questions, quote, evidence, page-by-page intervention and a check on the same questions.
ReadHow every TrustInsider measure is built: sampling of AI answers, sources and rights, index calculation and declared limits.
ReadHelp with access, credits, collections, integrations and data: guides, FAQs, the site assistant and support requests from your workspace.
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