What to do when AI gets your business information wrong

If you’re getting cited incorrectly, it’s crucial you fix it fast.

When AI gets your business information wrong, the most effective fix is to audit what AI systems currently say, then correct inconsistencies across your website content, structured data and external listings so AI sources can accurately understand and represent your business.

Here’s how to get started

1. Query ChatGPT, Perplexity, Gemini and Copilot with specific prompts about your business to identify what misinformation exists
2. Compare AI outputs against your actual services, locations and contact details to document discrepancies
3. Review your website structure for vague or ambiguous service descriptions that AI systems may misinterpret
4. Update schema markup to provide clear, machine-readable business information
5. Ensure NAP (name, address, phone) consistency across your website, Google Business Profile and directory listings
6. Create dedicated landing pages for each distinct service rather than combining multiple offerings on single pages
7. Monitor AI outputs monthly, as corrections take time and new errors can emerge

You search for your own business in ChatGPT. The response confidently describes services you do not offer. Or lists an address you moved from three years ago. Or gets your specialism completely wrong.

This is increasingly common. AI systems are now a genuine source of business information for potential customers. When those systems get things wrong, it creates confusion at exactly the moment someone is deciding whether to contact you.

The good news is that most AI business information errors are fixable. The bad news is that fixing them requires understanding why these errors happen in the first place.

Why AI systems are getting your business information wrong

AI search systems do not have a direct line to the truth about your business. They synthesise information from multiple sources, including your website, directory listings, social profiles, third-party mentions and historical data.

When these sources contradict each other, AI makes assumptions. When your website content is ambiguous, AI fills in gaps. When your service descriptions are vague, AI interprets them based on patterns from similar businesses.

The result is confident-sounding misinformation.

Common causes include:

• Outdated information still appearing on old directory listings or cached web pages
• Website content that describes what you do in broad terms rather than specific ones
• Multiple services combined on single pages, making it unclear what you actually specialise in
• Missing or incorrect schema markup that leaves AI systems guessing at structured details
• Inconsistent business details across different platforms

As David Foreman, who has spent over 27 years watching search evolve from basic keyword matching to AI-driven synthesis, puts it: this is another shift that rewards well-structured, clearly written websites. The businesses that suffer most from AI misinformation are those with websites that were never properly structured around clarity in the first place.

How to find what AI is saying about your business right now

Before you can fix anything, you need to know what needs fixing. This means querying multiple AI systems with specific prompts about your business.

Start with these four platforms:

• ChatGPT
• Perplexity
• Google Gemini
• Microsoft Copilot

Use these specific prompts:

• “What does [your business name] do?”
• “What services does [your business name] offer?”
• “Where is [your business name] located?”
• “Who should use [your business name]?”
• “What is [your business name] known for?”

Document every response. Compare them against what your business actually does. Note which errors appear across multiple platforms and which are isolated to one system.

This audit often reveals patterns. You may find that AI consistently misunderstands one particular service. Or that all systems have outdated location information. These patterns point directly to the source of the problem.

For a more systematic approach to understanding how AI interprets your business, the Three Kings Tool can help identify whether your core business information is being correctly understood by search and AI systems.

The connection between your website structure and AI accuracy

Many AI errors trace directly back to how your website is structured.

If you have a single services page that lists everything you do in one long scroll, AI systems struggle to understand which services are your primary focus and which are secondary. They may pick up on whichever service appears most prominently or is mentioned most frequently, regardless of whether that reflects your actual business priorities.

The solution is structural clarity. Each distinct service should have its own dedicated landing page with unambiguous content explaining exactly what it is, who it serves and what outcomes it delivers.

This is why understanding how AI chooses to reference businesses matters so much. AI systems look for clear, authoritative, specific content. Vague “we do everything” pages create exactly the kind of ambiguity that leads to misinformation.

Consider these structural improvements:

• Separate services that are currently grouped together onto individual pages
• Use clear H1 headings that explicitly state what each page is about
• Include specific details about location, target customers and service scope in the opening paragraphs
• Remove contradictory or outdated information that might confuse AI interpretation

Step-by-step: correcting misinformation in AI search results

Once you understand what is wrong and why, you can begin fixing it. The process requires attention to multiple areas.

Update your website content

Start with your homepage and main service pages. Make sure the first paragraph on each page clearly and unambiguously states what the page is about. Remove any language that could be misinterpreted.

If AI says you offer a service you do not provide, check whether your website mentions that service at all, even in passing. Sometimes a single sentence can be enough for AI to make incorrect assumptions.

Implement or correct schema markup

Schema markup provides structured data that AI systems can read directly. This includes your business name, address, phone number, services offered and other key details.

If your schema is missing, incomplete or contains outdated information, AI systems fall back on interpreting your unstructured content. Proper schema implementation removes ambiguity.

For specific guidance on what to implement, schema markup for AI visibility explains which elements matter most for small B2B businesses.

Audit external listings

Check your Google Business Profile, LinkedIn company page, industry directories and any other platforms where your business appears. Ensure all details are current and consistent.

AI systems cross-reference multiple sources. If your website says one thing and your Google Business Profile says another, AI may choose either one, or blend them into something inaccurate.

Request content removal where possible

Some AI errors stem from outdated web content that still exists elsewhere online. Old press releases, archived directory listings or previous versions of your website may still be accessible.

While you cannot control everything, you can request removal of outdated content from sites you contributed to and ensure your current information is the most prominent and authoritative source available.

Why fixing it once is not enough

AI systems re-crawl and update their knowledge bases at their own pace. Some corrections appear within weeks. Others take months.

This mirrors what happens with traditional SEO. A new website does not suddenly transform search visibility overnight. AI visibility works similarly. Some improvements can appear relatively quickly, particularly where the original error was obvious. More entrenched misinformation takes longer to correct.

More importantly, AI systems continue to evolve. They update their training data. They change how they weight different sources. New errors can emerge even after old ones are fixed.

This is why AI visibility needs ongoing attention. Monthly audits, using the same prompts you used initially, help you catch new problems before they become established.

Building a website that AI systems can actually understand

The most effective long-term solution is a website built with AI readability in mind from the start.

This means:

• Clear information architecture with distinct pages for distinct topics
• Unambiguous content that states facts rather than implying them
• Proper technical foundations including schema markup, clean code and fast loading
• Consistent messaging across all pages and external platforms

This is the approach Searchworthy takes when rebuilding websites around AI visibility and SEO. Rather than treating AI optimisation as something added to a website after it has been built, search and AI visibility become part of the website structure from the beginning.

For businesses currently experiencing significant AI misinformation, the question is often whether the existing website can be improved or whether a more fundamental rebuild is needed. Some errors can be addressed through content updates and schema fixes. Others stem from architectural problems that require deeper intervention.

When to worry and when inaccuracies will sort themselves out

Not all AI errors require immediate action.

Minor inaccuracies in how AI describes your services may resolve themselves as you update your website and the changes propagate through AI systems. Temporary inconsistencies during a website transition are normal.

You should worry when:

• AI consistently misrepresents your core service offering across multiple platforms
• Incorrect contact details could send potential customers elsewhere
• The misinformation makes your business appear less credible or trustworthy
• Competitors are being recommended instead of you based on incorrect assumptions about what you do

In these cases, the business impact justifies prioritising corrections.

If you are unsure whether your AI visibility issues need a quick fix or a structural rebuild, booking a call can help clarify what is actually required. A 15-minute conversation is often enough to identify whether the problem is surface-level or fundamental.

Frequently asked questions about what to do when AI gets your business information wrong

How long does it take for AI systems to update after I fix my website?

It varies significantly. Some changes can appear within weeks if AI systems re-crawl your site during that period. Others may take several months, particularly if the incorrect information was well established. Consistent, ongoing updates to your website help accelerate this process.

Should I contact OpenAI or Google directly to correct AI misinformation?

There is no direct correction process for most AI systems in the way that Google Business Profile allows edits. The most effective approach is to fix the source, your website and external listings, so that AI systems pick up accurate information when they next crawl and update their knowledge.

Why does AI say I offer services I do not provide?

This usually happens because your website mentions those services in some context, perhaps as examples of what you do not do, or as related services in your industry. AI systems may interpret any mention as an indication that you offer the service. Removing or clarifying this content typically resolves the issue.

Can schema markup alone fix AI misinformation?

Schema helps significantly because it provides structured, machine-readable information that AI systems can interpret directly. However, schema works best alongside clear website content and consistent external listings. If your unstructured content contradicts your schema, AI may still get confused.

What if the misinformation comes from third-party websites I cannot control?

Focus on making your own website the most authoritative and clearly structured source of information about your business. When AI systems have strong primary source material, they tend to weight it more heavily than secondary mentions. You can also contact third-party sites to request corrections where the relationship allows.

Is this different from traditional SEO problems?

The underlying causes are similar. Poorly structured websites, ambiguous content and inconsistent information create problems for both traditional search engines and AI systems. The difference is that AI systems synthesise information into direct answers rather than just ranking pages, which makes errors more visible and potentially more damaging to how your business is perceived.