There is no “report error” button for ChatGPT. You cannot email OpenAI and ask them to update what the model says about your business. What you can do — and what actually works — is flood the public web with accurate, structured information until the next training cycle pulls it in and the wrong version gets crowded out. It takes weeks to months, not days. Start now.
Quotable definition: When ChatGPT produces wrong information about your company, it is drawing on a snapshot of the public web taken during its last training run. The model has no live connection to your website and no feedback mechanism for individual corrections. The fix is a structured publishing strategy — placing accurate, consistent facts on authoritative public sources so that future model updates (and current retrieval-augmented tools like Bing Chat and Perplexity) learn the correct version of your business.
Why ChatGPT Gets Singapore SMEs Wrong in the First Place
ChatGPT’s base knowledge comes from a training cut-off, not a live crawl. If your business was small, quiet, or simply not written about much before that cut-off, the model either guesses from partial signals or conflates you with a similarly named firm. This is not a bug in the dramatic sense — it is a coverage gap, and it hits small businesses disproportionately.
There is also a retrieval layer to consider. Tools like Bing Chat, ChatGPT with web browsing enabled, and Perplexity pull live results at query time. If your website is thin, your brand mentions are sparse, and your Google Business Profile is out of date, the retrieval layer grabs whatever it can find — which may be an old article, a competitor’s description, or nothing useful at all.
Brand web mentions correlate roughly 0.66 with AI citation frequency, versus only 0.22 for backlinks (Ahrefs, 2026). In plain terms: being talked about accurately online matters more to AI systems than traditional SEO link-building. That is the mechanic you need to exploit.
What You Can Actually Control (and What You Cannot)
Let’s be direct about the limits before you spend money. You cannot force OpenAI to change a trained model’s output on your timeline. You cannot submit a correction form. You cannot “claim” your company the way you would a Google listing. Anyone selling you a guaranteed ChatGPT correction in 48 hours is selling something that does not exist.
What you can control is the quality and quantity of accurate public information that AI systems — both trained and retrieval-augmented — use as source material. Think of it as writing the record you want the machine to read, then placing it everywhere credible enough to be read.
Here is where the distinction matters for Singapore businesses specifically: AI Overviews now appear on roughly 48% of Google queries as of mid-2026. Zero-click searches hit approximately 68% of all Google searches in 2026 (SparkToro). Your customers are increasingly getting answers without clicking through to your site. If those answers are wrong, your brand takes the hit regardless of how good your website copy is.
The Fix: A Decision-Tree Approach
Work through these steps in order. Each one builds on the last; skipping to step four without completing step two is wasted effort.
- Audit what ChatGPT (and Perplexity, Gemini) actually says. Run five to eight prompts: your company name alone, your company name plus your service category, your company name plus “Singapore”, your founder’s name if publicly known. Screenshot everything. You need a baseline before you can measure improvement.
- Fix your primary sources first. Your Google Business Profile, your LinkedIn company page, your ACRA-registered business description, and your own website’s About page. These are the highest-authority, machine-readable sources for a Singapore SME. Make sure every factual claim — services offered, founding year, office location, UEN — is consistent and accurate across all four. Inconsistency across sources is a primary reason models produce wrong composites.
- Publish structured, factual content on your own domain. Write a clear, jargon-free “About” page that states in plain prose: what you do, who you serve, when you were founded, and where you operate. Add an FAQ section with real questions your customers ask. Use your exact business name as it appears in ACRA. Search-engine-friendly structure also happens to be LLM-friendly structure — this is not a coincidence.
- Build third-party brand mentions on credible sites. This is the step most Singapore SMEs skip, and it is the most important one for AI citation probability. Guest articles in industry publications, features in local media, listings in reputable directories, customer case studies on partners’ websites — each one is a data point that a model can triangulate against. Given that brand mentions correlate 0.66 with AI citation, this is not optional decoration.
- Submit feedback via OpenAI’s user feedback tools. While this does not guarantee a model update, flagging specific factual errors through ChatGPT’s thumbs-down and feedback form does contribute to the dataset used for fine-tuning. It is low-effort and worth doing — just don’t treat it as your primary strategy.
- Monitor and re-audit on a 60-day cycle. Model updates, retrieval-layer changes, and your own new content all shift what AI systems say. Set a calendar reminder. The businesses that maintain accurate AI representation are the ones that check consistently, not the ones that fixed it once and forgot.
How Long This Actually Takes
For retrieval-augmented tools (Perplexity, Bing Chat, ChatGPT with browsing), you can see improvement within two to four weeks if your content publishing is aggressive and the sources are crawlable. These tools pull live data, so fresher, better sources displace older bad ones relatively quickly.
For base ChatGPT (GPT-4o without browsing), you are waiting for a model update. OpenAI releases these periodically — there is no published schedule. Realistically, if you build a strong public information footprint now, you improve your probability of correct representation in the next update. There is no guarantee of timeline.
Here is the inconvenient truth: most Singapore SMEs who discover ChatGPT is saying something wrong about them will do steps one and two, feel better, and stop. The brand-mention-building in step four — the part that actually moves the 0.66 correlation needle — requires sustained effort over months. It is not dramatic. It involves writing articles, pitching journalists, and updating directory listings. It is, to be honest, slightly less exciting than the problem it solves, which is saying something given that the problem is a chatbot making things up about your company.
What to Do If the Wrong Information Is Actively Harmful
If ChatGPT is producing something defamatory, legally actionable, or tied to a data privacy concern, the approach changes. OpenAI has a formal privacy request process for removing personally identifiable information under applicable data protection frameworks — Singapore residents and businesses can reference PDPA considerations when making such requests. For defamatory content, a legal professional familiar with Singapore’s Protection from Online Falsehoods and Manipulation Act (POFMA) environment is a better first call than a marketing agency.
For the more common scenario — wrong service description, outdated pricing, incorrect founding year, wrong office location — the publishing strategy above is the appropriate and proportionate response. Save the legal process for genuinely harmful situations.
The Role of AEO and GEO in Preventing This
Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO) are the structured disciplines for making sure AI systems learn accurate information about your business over time. This is not about gaming algorithms. It is about writing clearly, publishing consistently, and distributing accurate facts across the sources that LLMs actually use as training and retrieval inputs.
If you are running an SME in Singapore and your business is growing, the question is not whether AI systems will form a view about your company. They already have one — or they will, as you become more visible. The question is whether that view is based on information you put there deliberately, or on whatever fragments the model scraped before your business had a real content presence. Our AEO/GEO/SEO services page explains the full methodology if you want the detail.
A Comparison: Retrieval-Augmented vs. Trained-Model Fixes
| Fix type | Which tools it affects | Realistic timeline | Your control level |
|---|---|---|---|
| Update live sources (GBP, website, LinkedIn) | Perplexity, Bing Chat, ChatGPT with browsing, Google AI Overviews | 2–4 weeks | High — you own these |
| Build third-party brand mentions | All retrieval-augmented tools + future trained models | 1–3 months for meaningful volume | Medium — requires outreach |
| OpenAI feedback submission | Base ChatGPT (next training update) | Unknown — model-update dependent | Low — advisory input only |
| OpenAI privacy/legal removal request | Base ChatGPT | Variable; weeks to months | Medium — for PII/defamation only |
Frequently Asked Questions
Can I contact OpenAI directly to fix wrong information about my business?
You can submit feedback via ChatGPT’s thumbs-down mechanism, and OpenAI has a formal data removal process for personally identifiable information. Neither path comes with a timeline guarantee or a confirmation that your specific correction will appear in the next model update. They are worth doing, but should run alongside — not instead of — a proper publishing strategy.
How do I know what ChatGPT is saying about my company right now?
Run a systematic audit: query your company name alone, your name plus your service category, your name plus “Singapore”, and your founder’s name. Do this in ChatGPT, Perplexity, and Gemini. Screenshot the outputs. Repeat this every 60 days so you can track what changes as your content footprint grows. It takes about 20 minutes and tells you exactly where you stand.
Does updating my website fix what ChatGPT says?
Partially, and it depends which version of ChatGPT you’re asking about. ChatGPT with web browsing enabled will pull your updated site within weeks. Base ChatGPT (no browsing) uses a training snapshot, so a website update alone won’t change what it says until the next model update. You need both: a clean website and third-party sources confirming the same facts.
Why does ChatGPT describe my business incorrectly when I have a website?
A website alone is a single data point. If your site is low-traffic, recently built, or rarely referenced by other sources, the model may not have weighted it heavily — or may not have included it in training at all. AI systems triangulate across multiple sources. Brand mentions on third-party sites, directory listings, and media coverage all increase the signal strength of your accurate information.
Is this something I can fix myself, or do I need an agency?
Steps one, two, and three — auditing, fixing primary sources, and improving your own website — are entirely DIY-able with a few hours of focused work. Step four, building third-party brand mentions at the scale needed to shift AI citation probability, is where most SME owners run out of time or contacts. That’s the point where a structured AEO/GEO programme tends to pay for itself.
How long before I see a difference in what ChatGPT says?
For retrieval-augmented tools like Perplexity and Bing Chat: two to four weeks if you publish well and the content is crawlable. For base ChatGPT: tied to OpenAI’s model update cycle, which has no published schedule. Build the information footprint now regardless — you’re improving your probability of accurate representation in every future update, not just the next one.
Could wrong ChatGPT information hurt my business in Singapore?
Yes, practically speaking. With AI Overviews appearing on roughly 48% of Google queries and zero-click searches at approximately 68% of all searches, a growing share of your potential customers may never reach your website. If the AI summary they see describes the wrong services, wrong location, or wrong company category, that’s lost consideration before a single click. It’s a quiet problem, which makes it easy to ignore — until you lose a tender or a referral because someone “checked” and got bad information.
If you’re not sure what AI systems currently say about your business — or whether the information is accurate enough to matter — the logical first step is to find out. Kaizenaire’s free AI-Visibility Check maps exactly what ChatGPT, Perplexity, and Google’s AI Overviews say about your company today, where the gaps are, and what a correction strategy would actually require. No obligation, no sales pitch before you’ve seen the data.