What Can a Business Do When ChatGPT Falsely Calls It a Scam or Invents a Lawsuit?

Step 1: Capture and triage

• Record the evidence: the question, the full answer, the date, the account state and any cited sources, with screenshots.
• Repeat the question several times, and in other assistants, to see how widespread the claim is.
• Judge severity: a claim appearing in most answers about your brand, or in answers to "is [brand] legit?", needs same-day action.

Documenting it properly is covered in how to document a false statement generated by an AI assistant.

Step 2: Find what the claim is built on

If the answer cites sources, start there. If it cites none, search for your brand with the claim's key words, and check scam-checker sites, complaint sites and court records.

Step 3: Correct the sources

• Scam-checker sites: many let owners request a review. Supply proof of identity, registration and trading history. Removing hidden ownership details, where appropriate, can also help automated scores.
• Complaint and review sites: respond factually, and ask for reviews about another business to be moved.
• Impersonators and clones: report them to hosting providers, registrars and marketplaces, and warn customers through official channels.
• Publishers: ask for corrections or updates, with evidence.

What should we do if ChatGPT makes up a lawsuit against our company?

1. Check the record. Search federal and state court records in the US, or the relevant court services elsewhere, to confirm there is no such case. Note any similarly named defendants.
2. Find the confusion. Invented lawsuits often borrow details from a real case against a different company, or from news about a partner.
3. Publish a short factual statement if the claim is widespread, for example on your "about" or press page. Keep it calm and specific. Say that the company is not and has not been party to the named case, if that is true.
4. Report the answer through ChatGPT's feedback option, and through OpenAI's formal channels for serious cases, with the evidence.
5. Take legal advice if the claim persists and causes measurable harm. The legal landscape is covered in what legal risks arise when AI misrepresents a company or nonprofit.

What should privacy counsel do when Gemini says our company sells personal data?

Often the source is the company's own legal wording. Under California's privacy law, "sale" and "sharing" are defined broadly. Sharing data for cross-context behavioural advertising, for example, triggers a "Do Not Sell or Share My Personal Information" link. An assistant can read that link as an admission that the company sells data in the everyday sense.

Privacy counsel can:

• Add a plain-language explanation next to the legal text: what data is shared, with whom, why, and what the company does not do, such as selling data to data brokers.
• Check data broker registries, such as California's, to confirm the company is not wrongly listed, and request correction if it is.
• Review third-party privacy ratings and articles that summarise the policy, and ask for corrections where they overstate it.
• Keep the privacy policy and plain-language summary consistent, so answers do not draw on conflicting statements.

Do not remove legally required links or wording to avoid the problem. Explain them instead.

How can a cybersecurity company respond when AI repeats a breach claim?

Security companies are especially exposed, because breach news often names the security vendor involved. The breach may have been at a customer that used the product, or a vulnerability may have been disclosed in the product without any breach.

• Separate the facts: was there a breach of your systems, a customer incident, or a disclosed vulnerability? Be accurate, and acknowledge real incidents.
• Publish a security page with incident history and dates, where incidents occurred, and a separate advisories page for vulnerabilities. Explain clearly that a vulnerability disclosure is not a breach.
• Keep a public trust centre with certifications and audit reports available to customers.
• Correct breach trackers and articles that attribute a customer's incident to you, with evidence.
• Brief sales and customer success with a short, accurate statement, since prospects will ask.

Step 4: Report, brief and monitor

• Report the answer through each assistant's feedback tools, and use formal routes for serious claims.
• Brief sales and support with a two-sentence explanation and a link to your factual page.
• Monitor the same questions weekly until the claim fades, then monthly.

What might an illustrative case look like?

Consider an illustrative online furniture retailer founded 18 months ago. ChatGPT says it is "flagged as a possible scam" in about half of runs for "is [brand] legit?". The cited source is a scam-checker page that gives it a low trust score, based on a young domain and hidden ownership records. Two complaint-site posts also turn out to be about a cloned site using its name. The retailer requests a review from the scam-checker with registration documents. It removes privacy masking from its domain records and gets the cloned site taken down. It also publishes an "About us" page with its company registration, address and team. Within a month, most answers describe it as a legitimate retailer, with some noting that it is a newer business.

What do people ask about false scam and lawsuit claims?

Will OpenAI remove a false claim if we report it?

There is no guarantee and no published timeline. Report it with your evidence, especially for serious claims, and correct the sources at the same time, since those are the part you control.

Should we mention the false claim publicly?

Only if it is widespread. A calm factual statement gives assistants and customers an accurate source.

Why do new businesses get called scams more often?

Automated scam-checkers weigh domain age and ownership visibility heavily, and new businesses have few reviews to counter them.

Can we sue over a false scam label?

Possibly, depending on the jurisdiction and harm. Take legal advice after correcting sources.