Is AI getting my business information wrong and how do I fix it

A growing number of UK business owners are discovering that AI platforms describe their business inaccurately. ChatGPT might say you offer services you do not provide. Gemini might place you in the wrong city. Perplexity might confuse you with a similarly named competitor. This is not a rare edge case. Understanding why AI misinterprets businesses is the first step toward correcting how your company is represented across AI platforms.

AI models build their understanding of your business from every piece of information they can find about you online. When that information is inconsistent, incomplete or ambiguous, the model fills in gaps with its best guess. Those guesses are frequently wrong.

The root cause is almost always signal inconsistency. Your website might describe your business one way, your Google Business Profile another, your Companies House listing another and your various directory entries yet another. Each source tells a slightly different story, and the AI model has to reconcile these into a single coherent description.

Common causes include outdated directory listings that still reference old services or previous trading names. Businesses that have pivoted, rebranded or expanded their service range are particularly vulnerable because historical information persists across the web long after the business itself has changed.

Another frequent cause is ambiguous website content. If your homepage does not clearly state what your business does, where it operates and who it serves within the first few paragraphs, the model may infer this from other sources that contain less accurate information. Vague taglines such as "innovative solutions for modern challenges" give the model nothing concrete to work with.

Name confusion also plays a role. If another business shares a similar name, particularly in the same sector or geography, AI models can merge information from both entities into a single confused profile. This is especially common for businesses with generic or descriptive names.

The diagnostic process is straightforward but requires systematic testing. Ask each major AI platform direct questions about your business. Use prompts such as:

"What does [business name] do?"

"Where is [business name] based?"

"What services does [business name] offer?"

"Would you recommend [business name] for [your actual service] in [your actual location]?"

Test across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. Record what each platform says. Note every inaccuracy, no matter how small. A wrong postcode, an outdated service offering, a confused description of your specialism. These are all symptoms of the same underlying problem: the signals you are sending are not clear enough.

Pay particular attention to how confidently the model states incorrect information. If it presents a wrong fact as though it is certain, this suggests the incorrect information appears across multiple sources, reinforcing the model's confidence in its error.

Fixing AI misrepresentation is not a single action. It requires addressing the source signals that created the problem.

Start with your own website. Ensure your homepage, about page and service pages state clearly and unambiguously what your business does, where it operates and who it serves. Use plain language. State facts directly. Avoid clever copy that obscures meaning. If you are a commercial electrician serving West Yorkshire, say exactly that in a heading, not buried in the third paragraph of a marketing narrative.

Next, audit your Google Business Profile. Ensure your business name, category, service descriptions and location information are accurate and match what your website says. This is one of the highest-authority sources AI models reference, so errors here propagate widely.

Then work through your directory listings. Check Yell, Thomson Local, Checkatrade, TrustATrader, industry-specific directories and any other platforms where your business appears. Update every listing to reflect your current, accurate information. Remove or correct outdated entries.

Check Companies House if applicable. Ensure your registered business details are current and that your SIC codes accurately reflect your trading activity. AI models can and do reference Companies House data.

Address any name confusion directly. If another business has a similar name, ensure your own branding, domain name and consistent use of your full business name across all platforms helps AI models distinguish between you. Adding geographic or specialism qualifiers consistently across your online presence can help.

This is where expectations need managing. Correcting your source signals can be done within weeks. However, AI models do not update instantly. Models that rely on training data may not reflect your corrections until their next training cycle, which could be months. Models that perform real-time retrieval, such as Perplexity and Google AI Overviews, will pick up changes faster as they re-crawl updated sources.

The practical approach is to make corrections as quickly and thoroughly as possible, then monitor AI outputs periodically to track improvement. Consistency is key. Every correction reinforces the accurate version of your business identity, and over time the models converge toward the corrected information.

Once corrected, maintaining accuracy requires ongoing attention. Any time you change services, add a location, rebrand or update your business in any material way, the same process applies. Update your website first, then your Google Business Profile, then your directory listings, then any other third-party references.

The businesses that AI models represent most accurately are those with the most consistent, current and clear information across every source. This is not a technical challenge. It is a discipline of maintaining your business identity across the digital landscape with the same care you would apply to your physical premises or printed materials.