AI gets my business wrong. How do I fix it?
An AI answer gets your price, services or reputation wrong. Before rewriting anything, find out what needs correcting and what is already accurate.
In a 2025 lawsuit against Google, solar installer Wolf River Electric alleged that an AI Overview falsely said it faced a lawsuit from Minnesota’s attorney general.
The answer came with four source links. According to the company’s complaint, none supported the claim that it had been sued. Those are allegations, not findings of liability. An answer can come with sources and still misrepresent what they say.
A wrong price or service area can raise the same practical concern on a smaller scale. A buyer could rule you out for being too expensive, too far away or unable to do something you actually offer. You may never get the chance to correct that impression in a conversation.
The useful response begins with finding out what, exactly, needs correcting. There may be an old claim still circulating online, a missing detail that needs explaining, or an answer that contradicts perfectly good information. Each calls for a different response. Publishing more content before making that distinction can leave the original problem untouched.
The source may be right
A source link is a place to investigate. Open it and compare the passage with the claim in the answer. Does it name your business? Does it describe the current offering? Does it actually say what the answer says it does?
That last question is easy to skip. In a 2023 audit of four AI search engines, researchers found citations that did not support the sentences they accompanied. The study examined systems of that period, but it illustrates why reading the source should come before changing it.
If the answer supplies no links, search for the incorrect claim alongside your business name. An old price, a discontinued service or a previous address can give you something concrete to look for. Finding a matching claim gives you a lead, rather than proof of how the answer was produced.
Keep the original answer, question and date so you can compare it with later results. AI answers can vary between runs; a fresh conversation helps you see whether the error recurs. It does not tell you how many customers have encountered it.
The version of your business you forgot
Imagine a landscaping company that stopped offering snow removal several years ago. Its services page is current. A blog post announcing winter contracts is still live, however, and two old directory profiles still list snow removal. An assistant recommends the company to someone looking for a contractor to clear a commercial lot.
The outdated records deserve attention even if you cannot establish that they caused the recommendation. A new page saying the company no longer plows would leave the old claims standing beside it. Updating those claims, with a clear explanation of what changed, addresses the inconsistency directly.
A less obvious problem is a fact attached to the wrong condition. The answer may correctly identify a product feature but place it on a more expensive plan, or describe a previous model’s specification as if it applies to the current one. Repeating that the feature exists adds little. The useful information connects it to the right plan or model.
The correction belongs in the pricing table, product documentation or service description where a buyer expects to find the detail. If the detail is absent, add it there. If several pages disagree, bring them into line. If your site also gives search systems the price through structured data, that record should match the price shown to customers.
Sometimes this work exposes a disagreement inside the business. Sales describes an offer one way and the published documentation another. Settle that difference before deciding which version to put in front of customers.
Your website is only part of the picture
Retailer listings, directories and comparison articles can preserve an older description long after you have changed your own pages. Their owners may have no reason to know that a service has ended or a product specification has changed.
Correct the profiles you control. For material you cannot edit, send its publisher the specific error and the current information that supports a correction. An older manual or announcement may still be useful; clearly identifying its date or product model can prevent it from being mistaken for current guidance.
Prioritize errors by the decisions they affect. A false limitation that could exclude you from a buyer’s shortlist deserves attention before a description that is merely dated. Keep track of corrections requested from other publishers, since their response is outside your control.
When you cannot find anything wrong to correct
An investigation can end with accurate pages and an inaccurate answer. That is frustrating, but it gives you a reason to resist rewriting material that already explains the business clearly.
Accurate information can still be inaccessible to a search system. Access settings for AI training and AI search are not necessarily the same. OpenAI, for example, provides separate controls for its search and training crawlers. Ask whoever manages the site to check the relevant access rules and hosting restrictions before concluding that the content itself is the problem.
If the information is accurate and accessible, report the specific discrepancy through the assistant’s available feedback options. Feedback gives the provider an example to examine; it does not promise a particular correction. Keep checking whether the error returns, with attention proportionate to the harm it could cause.
What does “fixed” look like?
A corrected page and a corrected AI answer are separate outcomes. You can confirm that a published fact has changed. You cannot set a deadline for every assistant to reflect it.
Return to the original question over time and retain the unfavorable answers alongside the accurate ones. Improvement is useful evidence, although a good answer immediately after an edit does not prove the edit caused it.
Flaregraph helps businesses investigate inaccurate AI descriptions and make the changes the findings justify. That may mean clarifying a product or service, resolving a technical access problem, or correcting how the business is described in relevant industry sources.
Start with an AI visibility report showing where your business is missing or misrepresented and what to improve first.