What Should You Do When AI Invents Claims About Your Company?

First preserve the claim. Then decide what needs correcting.

When an AI answer invents a claim about your company, save the complete response, verify the statement against authoritative business records and inspect any displayed sources. Distinguish an unsupported assertion from an outdated fact, an opinion or information about another organisation. The response should match the type and consequence of the error.

An invented integration may waste a sales call. A fabricated qualification or serious allegation can require a faster escalation to the person responsible for public communications or the relevant business function. Do not respond to every error with the same generic blog post.

This guide is an operational evidence and correction workflow. It does not determine whether a statement creates a legal claim or prescribe a legal remedy. Keep those decisions with the appropriate qualified adviser when needed.

How do you establish that the claim is unsupported?

Compare the exact wording with approved facts and the passages in the displayed sources. “We cannot find support” is a defensible initial status. It is different from proving the statement false in every possible context.

Keep unsupported, contradicted and ambiguous as separate statuses. A missing public source may mean the business has not explained a true fact clearly. A claim that directly conflicts with verified information needs a correction. An ambiguous statement needs scope before judgement.

What should an incident record contain?

Save the prompt, complete answer, assistant, date, product or mode, visible sources and relevant context. Preserve enough evidence to reproduce the observation without copying private customer information into a public ticket.

Break a broad statement into checkable parts. “The company guarantees same-day delivery everywhere” contains a guarantee, a timeline and a geographic scope. Each part can be wrong for a different reason. A correction should not leave two unsupported parts intact because one word was removed.

Add the approved fact, its owner and a link to the best supporting source. When the supporting record is private, describe the public-safe correction and keep the private evidence within the authorised team. Do not publish an internal contract merely to win an argument with an assistant.

Record the customer consequence as a sentence. “A buyer could select an unsupported integration” is actionable. “This looks bad” is too vague to prioritise against other work.

Where should you correct the information?

Correct a wrong owned source, request a correction to a wrong external source or report a response that misstates accurate sources. These are different channels and may all be necessary for one incident.

A feedback submission is not a guarantee of a change across users. Likewise, explaining the fact inside the same conversation is not proof that a new conversation will use it. Retest separately and keep the original record intact.

What does a proportionate public clarification look like?

Publish the current fact where a customer would reasonably look for it. If the error concerns an integration, clarify the integration page. If it concerns a company relationship, clarify the About page. A dramatic public rebuttal may be unnecessary when a precise maintained explanation answers the real question.

Consider a fictional project-management product. An AI answer claims that it includes payroll processing, but the product only exports time records. The useful clarification is: “The product exports recorded hours. It does not calculate wages, run payroll or submit payroll filings.” Link the actual export documentation and supported file formats.

The company should also check whether its own phrase “complete workforce management” contributed to the ambiguity. Replacing that broad claim with documented scope helps customers regardless of whether the wording caused this particular response.

This scenario is illustrative. It does not establish how often such errors occur or claim that the rewrite changed a model's behaviour.

When should the team escalate rather than keep editing?

Escalate when the claim has a serious customer consequence, concerns regulated qualifications or involves sensitive allegations. Preserve the record and route it to the designated owner. A content editor should not improvise a response that makes a new unsupported statement.

Also escalate repeated source problems that your publishing team cannot resolve: an external record that reverts, a wrong identity merged across profiles or a technical block preventing access to a corrected page. These need operational or technical ownership rather than more prose.

Keep the response bounded. The evidence may justify correcting a specific claim without justifying a statement about the assistant, publisher or competitor's motives. Avoid attributing intent where you only observed an error.

How do you close the incident honestly?

Separate source status from answer status. A useful closeout says what was corrected, which external requests remain open and what later recorded checks showed. Include the observation date and scope.

If the answer changes, verify the full claim rather than only the brand name. A payroll claim could become a billing claim and still be inaccurate. If the answer omits the subject, mark it as not stated instead of treating silence as a fully corrected explanation.

A small review set can establish what you observed under those conditions. It cannot establish that every customer now sees the same answer. The measurement cluster explains how to design a more formal panel when recurring monitoring is justified.

How can you reduce repeat incidents?

Maintain a claim register for important product, pricing and company assertions. Give each claim an approved wording, evidence source and owner. Use the public proof guide to decide whether a statement is supportable before publishing it.

Connect corrections to the business fact governance process. A resolved incident should improve the source and ownership process, not disappear into a chat transcript that nobody checks again.

Google advises that important content be available in text and that structured data match visible information. Those foundations help maintain a coherent public record; they do not prevent every unsupported answer or guarantee a particular citation.

Sources and editorial scope

Reviewed September 23, 2026. Platform-specific statements link to the documentation beside the claim. The workflows and examples are Arrow AI editorial guidance. Fictional scenarios illustrate a method; they are not customer results, measured demand or evidence of ranking gains.

• Google advises that important content be available in text and that structured data match visible information

Part of What AI Says About Your Business. Explore Arrow GEO or request a free audit to identify the next public-information gap.