Blog topics covered: Why do you need to listen to ChatGPT and Gemini about your brand? How do AI chatbots actually form their responses about your brand, and where do they source their data? Why might they give wrong info, and what can be done about it? The most asked questions are included in the FAQ section for your convenience.
Why Is It Actually A Big Deal Now?
Many of you still regard AI chatbots as an innovative toy that is far away from being useful to your business. The reality is very different. Many people ask ChatGPT and Gemini whether a certain brand is reliable or who the best real estate agents near them are, in the same way they once typed the same things into Google. And you cannot clarify anything right after a wrong response.
The person just moves on to whoever the AI did mention.
This is why more businesses are paying attention to how AI chatbots talk about your business, not just how they rank on Google. A wrong Google result is bad. In contrast to a regular search engine, a wrong AI answer comes with an air of confidence, personalisation and decisiveness.
How Does ChatGPT Decide What To Say About A Brand
It is a misconception many people have. They think ChatGPT ranks your web page similar to Google does and selects the best one. It doesn’t. ChatGPT and similar tools generate an answer word by word based on patterns they learnt, mixed with whatever they find if they search the web while answering you.
So when someone asks how ChatGPT decides what to say about a brand, the honest answer is that it’s not pulling up a fixed profile of your company. It’s predicting what a good answer sounds like, based on what it has seen written about you across the internet and how consistent and trustworthy that information looks.
Two Layers Feed Every AI Answer
There are really two separate sources behind any AI chatbot brand mention, and knowing the difference matters because you fix each one differently.
| Layer | What does it mean? | Can you fix it directly? |
| Training data | What the model learned before its knowledge cutoff, from books, articles, forums, reviews, and websites it was trained on | No, not directly. It only updates when the model gets retrained |
| Live retrieval | Web pages the chatbot searches in real time while answering you | Yes. This is where fresh, correct content actually gets picked up |
If your business changed its address, prices, or services after a model’s training cutoff, the model may keep repeating the old version until either it gets retrained or its live search pulls the correct page instead.
The Third-Party Sources AI Actually Trusts
AI chatbots lean heavily on sources that other sources agree with. A single claim on your own website carries less weight than the same fact repeated across your site, your Google Business Profile, review platforms, and a few outside articles.
| Source type | Example | Why does it matter to AI? |
| Your own website | About page, service pages | Primary source, but not enough alone |
| Business listings | Google Business Profile, Bing Places | Feeds local and AI search directly |
| Review platforms | Google Reviews, Glassdoor, Indeed | Shapes sentiment in AI chatbot brand mentions |
| Directories and press | Industry directories, news articles | Adds outside confirmation the AI treats as trustworthy |
If any of these disagree with each other, the AI has to guess, and it doesn’t always guess in your favour.
Not All Chatbots Behave The Same Way
This part surprises people. ChatGPT, Gemini, Claude, and Perplexity don’t handle brand mentions the same way, and one report tracking this in 2026 found some real gaps between them.
| Chatbot | General behaviour |
| ChatGPT | Mentions brands in most answers, but not always early in the response |
| Gemini | Often blends web search results directly into its summary answer |
| Claude | Tends to be more cautious, often hedging with “some options include” |
| Perplexity | Leans heavily on live web sources, so freshly published content gets picked up faster |
This is exactly why brand visibility on ChatGPT and Gemini needs separate testing instead of one strategy that assumes every platform works the same.
Why Does AI Sometimes Just Get It Wrong
Sometimes it’s not even about your content at all. AI models can confuse your business with a similarly named company, average two conflicting sources into something half true, or simply hallucinate a detail that sounds plausible but isn’t real. A well-known study from Columbia University’s Tow Center tested 1,600 queries across eight AI search tools and found more than 60% of the answers contained citation errors, with error rates ranging from 37% on the best-performing tool is 94%; the worst is 94%. That’s not a small margin. It tells you these tools are wrong a lot more often than people assume, and usually without sounding unsure about it. With error rates this high, it’s fair to assume something wrong is being said about most businesses at some point, even ones that have never had a real complaint. The tricky part is that most owners never find out, since there’s no notification when an AI answer misrepresents them. This is why some businesses bring in a reputation management partner like Repute Matters to run this kind of audit regularly instead of leaving it to chance. Catching a wrong answer early is far easier than untangling it once it’s spread across multiple platforms.
How To Fix Wrong AI Answers About Your Company
There’s no complaint form or support ticket for this. You can’t call OpenAI or Google and ask them to correct a specific sentence about your business. What actually works is fixing the sources feeding the answer.
| Step | What to do? |
| Audit it | Ask ChatGPT, Gemini, Perplexity, and Claude the same 10 to 15 questions a customer might ask. Write down every wrong answer |
| Trace the source | Check if the AI used live search for that answer. If it did, find which page it pulled from |
| Fix your own pages first | Ensure that what appears in your website, Google My Business listing, and other listings is identical |
| Correct third-party sources | Reach out to directories or outdated articles repeating the wrong fact |
| Publish a clear correction | A plain page stating the current, correct fact gives the AI something fresh to find |
| Re-test monthly | Each platform updates on its own schedule, so check back regularly |
This is the real playbook for how to fix wrong AI answers about your company. It’s slower than clicking a feedback button, but it’s the only thing that actually changes the answer long-term.
Working through this playbook properly, tracing sources, fixing listings, and re-testing monthly, is really a full monitoring routine, not a one-off task. Some businesses manage it in-house, but many hand it off once they see how much ongoing tracking it needs across several platforms. Companies such as Repute Matters offer this as a standing service, running the audits and corrections on a schedule so nothing slips back to the wrong version.
How To Correct AI-Generated Information About A Business, Step By Step
The feedback buttons inside ChatGPT and Gemini do exist, and it’s worth using the thumbs-down option when you spot something clearly false. But treat that as a bonus step, not the fix itself. Those reports go into a general review queue and don’t guarantee your specific answer gets corrected.
Ensure that what appears on your website, Google My Business listing, and other listings is identical
The right way to address inaccurate AI-generated information is patience and consistency. Address the problem wherever you find it, make the information consistent, and allow it some time to become more prominent than the old one.
Turning This Into A Consistent Routine And Not A Once-Only Fix
Many businesses view this process as a one-time job. Correct only once.
That’s a mistake, because AI models get retrained, web content changes, and new reviews or articles keep showing up. Treating this like proper AI brand reputation management, the same way you’d treat your regular review monitoring or search reputation work, is what keeps the answer accurate over time instead of drifting wrong again in six months.
Conclusion
AI chatbots are becoming a real part of how people learn about a business, right alongside Google. Understanding how AI chatbots talk about your business, instead of assuming it’s random, puts you in a position to actually do something about it when the answer is wrong. This process needs to be consistent and involve checking the source information, ensuring the details are correct, and considering the brand mentions on chatbots in your brand reputation management efforts.
FAQs
Q.1 How does ChatGPT generate information about my brand?
It predicts an answer based on patterns from its training data, combined with live web search results when it searches while answering. It’s not pulling from a fixed company profile the way a directory would.
Q2. Can I fix wrong AI answers about my company myself, without an agency?
Yes, for smaller issues. Auditing the questions, fixing your own website and listings, and requesting corrections on outdated third-party pages can be done in-house. It just takes consistent tracking across multiple platforms.
That said, once a business is dealing with several wrong answers across multiple platforms, or a slow-moving directory that won’t correct itself, it usually makes sense to bring in outside help. Reputation management companies like Repute Matters specialise in this kind of source-tracing and correction work. They can also keep monitoring running in the background so new errors get caught quickly.
Q3. Why does ChatGPT say my business closed down when it’s still open?
Usually this traces back to an old “temporarily closed” tag on a directory or a news article about renovations or a move that never got updated. Correcting your Google Business Profile status is usually the fastest fix.
Q4. How long does it take to correct AI-generated information about a business?
If the answer comes from live search, corrections can show up within a few weeks once the right source is fixed. If it’s coming from training data, it may take longer, since that only updates when the model itself gets retrained.
Q5. How do I improve brand visibility on ChatGPT and Gemini specifically?
Keep your business details consistent everywhere, get mentioned on outside sites the AI already trusts, and check your visibility separately on each platform since they don’t behave the same way.
Q6. Does a bad AI chatbot brand mention actually affect real customers?
Yes. More and more people ask the same questions from AI chatbots that they used to ask on Google. Moreover, they believe the answers provided are unbiased facts.
Q7. Do I have to report every incorrect piece of information about my brand using the feedback button?
Using the feedback button will not hurt if the information is clearly fake or damaging. Correcting the public sources behind the answer works far more reliably.
