ChatGPT says wrong things about my brand — how to fix it

ChatGPT is often the first place potential customers encounter your brand in 2026. When it gets your information wrong — outdated pricing, incorrect product descriptions, a competitor listed where you should be — the damage happens silently. People trust the answer and move on.

This guide covers exactly what you can do about it, specific to how OpenAI's systems work.

Why ChatGPT gets brands wrong

ChatGPT generates responses from training data — a massive collection of web pages, documents, and text that OpenAI processed at a specific point in time. If your website had outdated information when that data was collected, ChatGPT may still be repeating it months or years later.

Common causes:

• Stale training data — your product changed but ChatGPT's knowledge did not
• Conflicting sources — your LinkedIn says one thing, your website says another, and ChatGPT picked the wrong one
• Competitor dominance — competitors with more web presence get described as the category leaders
• Missing structured data — without clear schema markup, ChatGPT infers meaning from context and sometimes gets it wrong

Step 1: Document exactly what ChatGPT is saying

Before fixing anything, record the current state. Ask ChatGPT the questions your customers would ask:

• "What is [your brand]?"
• "Compare [your brand] to [competitor]"
• "What are the pricing plans for [your brand]?"
• "Is [your brand] good for [use case]?"

Run each query multiple times — ChatGPT can give different answers to the same question. Record every variation.

For each inaccurate claim, note:

• The exact text of the incorrect statement
• What the correct information is
• Where you think ChatGPT got the wrong information (which source)

Step 2: Fix the sources ChatGPT trains on

ChatGPT's knowledge comes from the public web. The most reliable way to fix what it says about you is to fix what the web says about you.

Priority order for OpenAI's training data

1. Your website — the primary source you control entirely. Update pricing, features, descriptions, team information, and product pages.
2. Organization schema markup — add or correct @type: Organization with accurate name, description, foundingDate, sameAs links.
3. Wikipedia / Wikidata — if your brand has entries, verify their accuracy. These carry high weight in training data.
4. LinkedIn company page — keep the company description identical to your website's about section.
5. G2, Capterra, Crunchbase — consistent category placement and descriptions across all profiles.

What specifically to check on your website

• Does your homepage clearly state what you do in the first paragraph?
• Is your pricing page current and crawlable (not behind JavaScript that blocks scrapers)?
• Does your about page accurately describe your company?
• Are deprecated products or features still mentioned anywhere?
• Is there conflicting information between pages?

Step 3: Submit feedback to OpenAI

OpenAI provides feedback channels, though they do not guarantee corrections or timelines.

In ChatGPT:

• Click the thumbs-down button on the inaccurate response
• Select "This isn't true" or "Not helpful"
• Describe the specific inaccuracy and what the correct information is

Through OpenAI's help center:

• Submit a detailed correction request
• Include: your brand name, the exact incorrect claim, the correct information, and a link to your official source

If you have an enterprise relationship:

• Contact your account representative directly
• Enterprise corrections may receive faster attention

What makes a good correction request

• Specific: name the exact incorrect claim, not a vague complaint
• Sourced: link to your official page where the correct information is published
• Factual: focus on verifiable facts (pricing, features, dates) rather than opinions

Step 4: Monitor for changes

ChatGPT does not notify you when it updates its responses. The only way to know if your corrections took effect is to keep checking.

What to watch for

• Did the specific inaccuracy disappear?
• Did it get replaced with something else that is also wrong?
• Are responses consistent across multiple queries?
• Did new inaccuracies appear elsewhere?

Manual monitoring

Query ChatGPT weekly with the same questions. This works for a few queries but becomes impractical across multiple topics and query variations.

Automated monitoring

AIVIS runs scheduled scans against ChatGPT (and other AI models) and compares every claim against your verified brand facts. When a response changes — whether the inaccuracy is fixed or a new one appears — you see it in your scan history with timestamps and the specific claim that changed.

The realistic timeline

The honest truth: you cannot force ChatGPT to update on your schedule. What you can do is make the correct information as prominent, consistent, and well-structured as possible across every source that feeds into training data — and then monitor until the changes take effect.

What does not work

• Trying to "optimise" for ChatGPT — there is no SEO equivalent for AI model responses
• Repeating keywords on your website — ChatGPT does not respond to keyword density
• Sending multiple identical feedback reports — this does not accelerate corrections
• Ignoring the problem — inaccurate information does not self-correct

Next steps

1. Run the queries listed in Step 1 and document what ChatGPT currently says
2. Compare against your verified brand facts and identify every inaccuracy
3. Fix your website and structured data — the highest-impact actions you can take immediately
4. Read the complete fix playbook for the full cross-model strategy including source tracing and evidence building