What Does ChatGPT Say About Your Brand? How to Find and Fix What AI Gets Wrong
Key Takeaways
- ChatGPT now reaches 1.2 billion people a week, so its description of your brand is a first impression you did not write.
- In one brand-led study, companies flagged about 9% of AI-stated facts about them as false, and pricing was wrong most often.
- Errors can come from outdated sources, mistaken identity, fabrication or your own chat history, and each needs a different fix.
- OpenAI offers feedback routes but no dedicated correction service, so you fix ChatGPT brand mentions mainly by fixing the sources it reads.
- Re-run the same prompt set every month so you can see whether each fix is holding.
Your buyers are already asking AI about you. The answer deserves the same care as your catalogue.
To find out what ChatGPT says about your brand, ask it the questions your buyers ask, in fresh unpersonalized chats, and note whether it searched the web. Check each claim against your own records. Then correct the pages you control, ask other publishers to fix theirs, and report answers that stay wrong. Fixing ChatGPT brand mentions is a cycle of repair and re-testing. No single step guarantees a correction.
This guide sets out that method for Indian exporters and heritage brands — the audit, the ten fixes, and the honest limits.
In this guide
- Why what ChatGPT says about your brand now matters
- Where ChatGPT gets its picture of your brand
- The three ways ChatGPT gets brands wrong
- How to find out what ChatGPT says about your brand
- Trace each error to where it lives
- How to fix ChatGPT brand mentions that are wrong: a 10-step checklist
- Matching the fix to the error
- What this looks like for a heritage exporter
- What you cannot fix — the honest limits
- Frequently asked questions
Why what ChatGPT says about your brand now matters
ChatGPT is no longer a side channel. At its September developer event, OpenAI said ChatGPT reaches 1.2 billion people every week, and India alone crossed 100 million weekly users in February (Source: OpenAI, 2026). For an exporter, that audience includes the boutique buyer in London shortlisting saree houses and the retailer in Dubai comparing Bhadohi rug suppliers.
Buyers act on what they read. In an April 2026 survey of 1,000 US adults, 47% said they had avoided a purchase, switched brands, warned others or contacted a company because of something an AI tool told them (Source: Skyword, 2026). The Skyword research also shows what happens when AI and a brand disagree: 54% look for outside verification, 29% side with the brand, and only 12% trust the AI outright. Buyers check — and what they find needs to be right.
The founder rarely sees any of this. The conversation happens in private. The buyer moves on. Nothing shows up in your analytics except an enquiry that never arrived.
Where ChatGPT gets its picture of your brand
ChatGPT answers from two main layers, plus a third influence that is easy to miss. Knowing which one produced an error tells you how to fix it.
The first is training memory — what the model absorbed from the public web before its knowledge cutoff. The second is live web search — pages ChatGPT retrieves at the moment a buyer asks. Most buying questions (prices, suppliers, “best exporters for…”) trigger live search.
| Training memory | Live web search | |
|---|---|---|
| What it is | Patterns learned before the model’s knowledge cutoff | Pages retrieved when the question is asked |
| When it applies | Search switched off, or broad general questions | Brand, price, supplier and current questions |
| Main sources | Large public web crawls, Wikipedia, widely repeated pages | Results from search partners such as Bing, pages crawled by OpenAI’s search crawler, directories, review sites |
| When a fix can show | Only after a later model update, and not guaranteed then | After the source is re-crawled; no guaranteed timetable |
| What you control | Indirectly, through consistent and widely repeated facts | Directly, through your site, schema, listings and crawler access |
For the live layer, OpenAI’s own crawler documentation is explicit: sites that block its search crawler, OAI-SearchBot, will not be shown in ChatGPT search answers. OpenAI says ChatGPT sends searches to third-party providers, and industry tests find its citations often overlap with Bing’s results. Bing indexing is not an official requirement, but verifying your site in Bing Webmaster Tools is a sensible, low-cost step.
Search does not make an answer reliable on its own. OpenAI’s guide to searching the web with ChatGPT states plainly that search results and citations can be incomplete, outdated or incorrect.
The third influence is personal context. If memory is switched on, ChatGPT may use saved memories when it rewrites a search query, according to the same OpenAI guide. Your own long-running chats about your brand can therefore produce a different description from the one a new buyer sees. Test as a stranger, not as yourself.
The three ways ChatGPT gets brands wrong
In a brand-led study by Searchable, employees at 1,704 brands graded 32,556 facts that AI engines — ChatGPT, Perplexity, Google AI Overviews and others — stated about them. They marked 9.2% as false, and 8.1% for ChatGPT alone. Pricing was the worst category at 13.5%, and small businesses saw more errors than large ones — 9.4% against 6.3% (Source: Searchable, 2026). The full AI Brand Misinformation Report groups the errors into three types.
1. Outdated facts. Once true, no longer true. An old minimum order quantity, a discontinued collection, a previous address, a founder’s former title. These usually come from your own old pages or stale listings.
2. Mistaken identity. ChatGPT merges you with a similarly named business. This is a real risk in Indian craft clusters. Varanasi has many family firms sharing surnames and the words “Banaras” or “Kashi” in their names. Bhadohi and Mirzapur have dozens of carpet houses with near-identical names.
3. Fabrication. A fact with no source at all — a GI authorised-user status you do not hold, a client you never served, a price nobody published. AI fills gaps with plausible guesses. OpenAI’s own research on why language models hallucinate traces this partly to training and evaluation that reward a confident guess over an honest “I don’t know”.
Three related errors deserve their own label. A commercial error states a policy as universal — “free returns on everything” when custom orders are excluded. An unsupported comparison calls you “the fastest” or “the cheapest” without evidence. A misleading summary drops the qualification that made a true statement true.
Not everything unflattering is an error. “Expensive” is an opinion, not a false fact. A missing mention in a “best suppliers” answer is a visibility problem, not an inaccuracy. Separating the three keeps your audit honest and your fixes aimed at the right target.
Language compounds the problem. A 2026 Stanford HAI audit tested six commercial chatbots on same-day news questions in six languages, and every model performed worst in Hindi — largely because, when Hindi sources were scarce, the systems quietly answered from English ones. The study measured news, not brand descriptions, but the lesson carries: if your buyers ask in Hindi, test in Hindi too. If much of your brand’s footprint is in Hindi, or exists only on WhatsApp and trade fairs, ChatGPT has less to work with.
How to find out what ChatGPT says about your brand
Treat this as an audit, not a vanity search. One afternoon is enough for the first pass.
- Write down the truth first. Before you test anything, list your approved facts — legal name, location, founding year, product range, MOQ, prices, certifications, policies — each with its evidence, market and effective date. This fact register is what you grade every answer against.
- Build a panel of about 20 prompts from questions buyers actually ask your team: around 12 branded factual questions (“Who is [brand]? What is its minimum order? What certifications does it hold?”), 4 comparison questions (“[brand] vs [competitor] for UK boutiques”) and 4 unbranded discovery questions (“Best Banarasi silk exporters for UK retailers”).
- Test as a stranger. Open a Temporary Chat and choose Unpersonalized, which excludes memory, custom instructions and plugins. OpenAI’s Temporary Chat guide notes you must pick this before the conversation starts — “temporary” alone does not mean unpersonalized.
- Run each prompt three times in fresh chats, then again with web search selected. Note whether ChatGPT searched on its own in the first set. Treat the difference as a clue, not proof. An error without observed search points towards training memory; an error in a search-backed answer often traces to a page you can find — though ChatGPT can also misread an accurate source.
- Ask as your buyer would. Add the market: “for a UK retailer”, “for a Gulf wholesaler”. Answers shift by context.
- Keep the first answer. Do not regenerate until it looks better. Log every claim as correct, incorrect, unverifiable or opinion, with any source ChatGPT cites.
- Open every cited page. A link can sit beside a sentence it does not support. When the Tow Center tested eight AI search tools on 1,600 queries, they gave incorrect answers to more than 60% of them, and ChatGPT misidentified 134 of 200 articles (Source: Tow Center, 2025). Columbia Journalism Review published the study. The pages that genuinely carry the wrong fact are your repair list.
Eight prompts to start your panel
Replace the brackets with your own details, and keep the wording identical each month.
- What is [Brand], and what does it sell?
- Where is [Brand] based, and what is its official website?
- Who founded [Brand], and when was it established?
- Is [Brand] the same business as [similarly named company]?
- What is [Brand]’s minimum order quantity for wholesale buyers in [the UK]?
- What certifications does [Brand] hold, such as GI authorised-user status or Craftmark, and what do they cover?
- Compare [Brand] and [Competitor] for a [UK boutique] sourcing [handwoven Banarasi silk sarees].
- Which [Banarasi silk saree] exporters can supply [independent retailers in the UK]?
The same prompt set works in Perplexity, Gemini and Google’s AI results. The earlier guide on how to make your business visible in ChatGPT, Gemini and Perplexity covers the visibility side. This audit covers accuracy.
Trace each error to where it lives
The same wrong sentence can have five different causes, and each needs a different response.
| What you find | What it usually means | What to do |
|---|---|---|
| The wrong fact is on your own site | Your own record is a likely source | Correct it everywhere it appears — product pages, policy pages, PDFs, old campaign pages |
| The wrong fact is on a cited third-party page | Someone else’s record is a likely source | Send the publisher the exact passage, your evidence and a proposed correction; copies may persist |
| The cited page is right, but the answer is wrong | ChatGPT summarised it badly | Send feedback quoting the exact passage; do not rewrite an accurate page to match a wrong answer |
| No source is cited | ChatGPT could not find or use good evidence | Re-ask with search selected, then with your page’s URL supplied; if that helps, it suggests a discovery or interpretation problem — not proof of the original cause |
| Only your own logged-in chats are wrong | Memory or personal context | Fix the memory; this is not a public error and should not be reported as one |
Then decide what to fix first. A wrong payment destination, a damaging mistaken identity or an unsafe claim is urgent. A wrong price, specification or purchase policy comes next. Outdated history can be scheduled. A missing shortlist mention is worth investigating, but it is not an emergency. An answer that sends buyers to the wrong seller does more harm than one that leaves you out.
How to fix ChatGPT brand mentions that are wrong: a 10-step checklist
Work in this order to fix ChatGPT brand mentions at the source. The early steps fix the sources ChatGPT reads first; the later steps strengthen the signals that decide which version of you it believes.
- Publish the correct facts plainly on your own site. Add a short “Company facts” block to your About page: legal name, founding year, location, what you make, markets served, certifications (GI, Craftmark, export council membership). AI fills gaps, so leave none.
- State prices, MOQs and policies with their exact scope. Pricing is the most-wrong category. Write “wholesale MOQ is 20 pieces per design; retail orders have no minimum” rather than a vague “low MOQs”. Put the qualification beside the promise, and name the market where rules differ.
- Allow OAI-SearchBot in robots.txt. It is a separate crawler from GPTBot, which governs training. You can block training and still appear in ChatGPT search. OpenAI says robots.txt changes take about 24 hours to register — that makes you eligible, not corrected.
- Make sure Bing can find you. Verify your site in Bing Webmaster Tools, submit your sitemap, and enable IndexNow, which notifies participating search engines when a page changes. It does not guarantee crawling or indexing.
- Add Organization schema with sameAs links to your official profiles. Google documents that this markup helps it tell one business from another. No one has shown it directly changes ChatGPT’s answers, so treat it as good hygiene that supports everything else, and keep it matching your visible page. My note on GEO vs SEO explains why entity clarity now matters as much as keywords.
- Make every listing say the same thing. Google Business Profile, IndiaMART, Justdial, LinkedIn, marketplace storefronts, and export council directories such as EPCH for handicrafts or CEPC for carpets. One name, one address, one description.
- Consider a Wikidata entry, if you qualify. Only if your business meets Wikidata’s notability guidelines and has reliable independent references. It is optional; your own website and the sources ChatGPT actually cites matter more.
- Ask third-party sites to correct their errors. Start with the sources ChatGPT cited in your audit. A short, courteous email with evidence works more often than founders expect.
- Earn fresh, credible coverage that states the right facts — trade press, export council features, buyer case studies. One stray inaccurate page matters less when several strong pages agree.
- Report, then re-test monthly. Use the thumbs-down in ChatGPT and give a complete evidence note: the exact false statement, the correct fact, a supporting link, the prompt and the date. OpenAI’s content reporting process also lets its team review unreliable sources. Then re-run the same panel every month and track three numbers separately: how many claims were correct, how often each known error recurred, and how often you appeared in unbranded answers. ChatGPT tags its referral links with
utm_source=chatgpt.com, so your analytics can show the visits that follow.
Steps 5 to 9 are the core of AI SEO & GEO optimization, and they serve a second purpose: as AI shopping agents begin to buy on behalf of customers, the brand with the clearest, most consistent facts is the one an agent can trust. The earlier piece on agentic commerce for Indian exporters covers that shift.
Matching the fix to the error
| Error type | What it looks like for an exporter | Usual source | First fix | How you’ll know it worked |
|---|---|---|---|---|
| Outdated | Old MOQ, discontinued range, previous address | Your own old pages; stale directory listings | Update the source page; re-submit to Bing | The re-test stops repeating the old fact |
| Mistaken identity | Merged with a similarly named Varanasi or Bhadohi firm | Thin or inconsistent entity signals | Organization schema, sameAs, consistent naming and listings | Answers name your city, founder and products |
| Fabrication | Invented certification, client or price | No authoritative source for that fact | Publish the fact plainly; earn third-party confirmation | The invented claim stops appearing |
| Omission | Missing from “best exporters” answers | Absent from the lists and directories ChatGPT cites | Listings, category pages, credible coverage | You appear in more of your panel’s unbranded answers |
Omission is not strictly an error, but it is the most common finding. A brand that is never mentioned has the same problem as one that is described wrongly: the buyer never reaches it.
There is no guaranteed timetable for any of these. OpenAI publishes none, and a later model update does not guarantee a correction either. Monitor through repeat testing.
When is an error actually fixed? Use three stages. Source repaired means the wrong page has been corrected and verified. Improvement observed means a re-test came back right. Resolved means the error stayed absent in two consecutive monthly re-tests under the same conditions. One good answer after feedback is a start, not a finish.
What this looks like for a heritage exporter
Consider a hypothetical example, drawn from patterns common in the Varanasi saree trade. A family weaving house, founded decades ago, now sells direct to boutiques in London and Dubai.
Asked “Who is [the house]?”, ChatGPT describes a Surat-based synthetic saree wholesaler. That is mistaken identity — a similar name, a different city. Asked about minimum orders, it quotes a figure from an old wholesale listing. That is outdated. Asked about certifications, it credits a GI authorised-user status the house does not hold. That is fabrication.
The order of repair matters. Fix the identity first, through schema, sameAs links and identical listings, because every other fact attaches to the identity. Then correct the old listing and publish the real MOQ on the house’s own site. Leave the certification question answered plainly on the About page, so the next retrieval finds a source instead of a gap.
What you cannot fix — the honest limits
- There is no dedicated correction service for business facts. OpenAI offers in-product feedback, content reporting and a privacy route for individuals, but its guidance does not describe a guaranteed way to correct company facts. Even a successful privacy request removes information from ChatGPT’s answers, not from the websites it came from.
- Correcting ChatGPT in a chat changes that chat only. It does not update what the next buyer sees.
- Training memory lags. An error held in training memory can persist, and a later model update does not guarantee it will be fixed.
- Advertising does not buy accuracy. ChatGPT ads appear separately from answers, and OpenAI states they do not influence them. The guide to ChatGPT Ads in India explains where paid placement fits and where it does not.
- Shortcuts backfire. Fabricated reviews, unsupported credentials, hidden instructions and mass-produced pages may win an isolated answer, but they make the public record less trustworthy — the opposite of the goal.
- Be wary of guarantees. If a visibility service promises recommendations, a fixed timeline or a numerical uplift, ask to see the raw answers, which surface it tests, and how it checks accuracy.
- Nothing is guaranteed. The work raises the odds that ChatGPT finds the right version of you. Monitoring tells you whether it has.
Related reading
- How to Make Your Business Visible in ChatGPT, Gemini and Perplexity
- GEO vs SEO: What’s the Difference and Why Indian Brands Need Both
- How to Appear in Google AI Overviews: A Guide for Indian Exporters and Heritage Brands
- Is Your Brand Invisible to AI Shopping Agents?
Frequently asked questions
Not through a dedicated service. OpenAI's guidance describes feedback and reporting routes, but no guaranteed way to correct company facts. You can use the thumbs-down on a wrong answer and type the correct information, and you can report unreliable sources through OpenAI's content reporting form. A founder can also use OpenAI's privacy portal for inaccurate personal data about themselves. For the business itself, the reliable route is fixing the pages ChatGPT reads: your own site, your listings, and the third-party sources it cites.
Usually for one of three reasons. Your own site never states the fact plainly, so ChatGPT fills the gap from elsewhere. A third-party page it retrieves is outdated. Or the error sits in the model's training memory from before its knowledge cutoff. A fourth cause is common in Indian craft clusters: mistaken identity, where ChatGPT merges you with a similarly named firm. Running each prompt with and without web search selected, and opening every cited page, gives you strong clues about which cause you are dealing with.
There is no fixed timetable, and OpenAI does not publish one. For answers built from live search, a corrected page can change the answer once search providers and OpenAI's crawler revisit it. Errors held in training memory can persist, and a later model update does not guarantee a correction. OpenAI's note that robots.txt changes take about 24 hours applies to crawler access, not to correcting answers. This is why monthly re-testing matters more than any single fix.
No. GPTBot governs whether your content may be used to train OpenAI's models. A separate crawler, OAI-SearchBot, governs whether your pages can appear in ChatGPT search answers. OpenAI states that sites blocking OAI-SearchBot will not be shown in those answers. Many businesses block GPTBot and allow OAI-SearchBot, which keeps them out of training but eligible for citation. Check your robots.txt for both user agents before assuming you are visible.
No. Wikipedia helps established brands, but most exporters will not meet its notability bar, and a promotional page is likely to be removed. Wikidata is an option if you meet its notability guidelines and have reliable references, but it is not essential. More important than either is consistency: the same name, address, founding year and description on your website, Google Business Profile, IndiaMART, LinkedIn and export council listings, backed by Organization schema with sameAs links.
Monthly is a sensible rhythm for most exporters, with an extra check after any major change — a new collection, new prices, a new address or a rebrand. Use the same 20-prompt panel each time, in an Unpersonalized Temporary Chat, so results are comparable. Log the answers in one sheet. Over three or four months, the log shows which fixes are holding and which errors keep returning, which is far more useful than an occasional spot-check.
No. ChatGPT ads appear separately from the answer, are labelled as sponsored, and OpenAI states they do not influence what ChatGPT says. A buyer could see your ad directly beneath an answer that describes your brand wrongly. Paid placement and earned accuracy are separate jobs. Fix the facts first, so that any paid visibility leads buyers to an answer that supports, rather than contradicts, what your ad promises.
The principles are the same, but the sources differ. ChatGPT's live search uses third-party providers such as Bing and OpenAI's own crawler, while Google AI Overviews draw on pages already ranking in Google. So a brand can be described correctly in one and wrongly in the other. Run the same prompt set in both, and make sure your site is verified in Bing Webmaster Tools as well as Google Search Console. Consistent facts and schema help across every engine.
If you would like a second pair of eyes on what AI says about your brand, my AI SEO & GEO optimization work begins with exactly this audit.
Rahul Agrawal
https://www.rahulkagrawal.inRahul Agrawal helps heritage brands, textile exporters and handicraft businesses grow through AI visibility, GEO, Shopify and ecommerce strategy. Based in Varanasi, serving clients globally.