ChatGPT is straight up lying about me and I can't get it to stop
AI chatbots generating false information about you or your business
You asked ChatGPT about yourself â or someone else did â and it confidently stated something completely false. Maybe it says you were involved in a scandal that never happened, confuses you with someone else, or just made something up. And no matter how many times you correct it, the next conversation starts the hallucination all over again.
This is called an AI hallucination, and it's one of the most frustrating reputation problems of 2025.1 ChatGPT doesn't "remember" corrections between conversations. It generates responses based on training data and patterns â if that data contains errors, or it fills gaps with plausible-sounding fiction, you get a persistent lie.
Large language models predict the next word based on patterns, not facts. When ChatGPT states something about you, it's generating text that seems plausible â not reporting from a database. Corrections within a conversation don't stick.
Why This Is Happening
If false information about you existed online during ChatGPT's training period â a wrong Wikipedia edit, a misidentification in an article, a data aggregation error â it became part of the model.
If you share a name with someone more prominent, the AI may merge your identities. It doesn't distinguish between "John Smith the architect" and "John Smith who was arrested."
Sometimes AI generates claims that don't exist in any source â text that "sounds right" based on patterns with no basis in reality.
An article mentioning you and a negative event in the same piece (even if unrelated) can create a false association in the model.
What You Can Actually Do About It
Step 1: Fix the Source Material
AI models learn from the internet. If false information exists online about you, that's likely feeding the hallucination. Google yourself with various qualifiers (city, profession, company), correct or remove inaccurate content from publishers and data brokers, and build authoritative correct content (LinkedIn, personal website, authored articles) that future training rounds will pick up.
Step 2: Report to OpenAI
OpenAI accepts accuracy reports. They can't edit responses on the fly, but reports improve the model over time:2
- Use the thumbs down button with detailed feedback on inaccurate responses
- Submit through OpenAI's Help Center (help.openai.com)
- For serious defamatory content, contact their legal team through the privacy request form
Step 3: Address Other AI Platforms Too
It's not just ChatGPT. Google Gemini, Perplexity, Claude, Bing Copilot, and Grok all generate responses about real people. Check each one and report errors through their feedback mechanisms. If one AI hallucinates about you, others likely do too. An AI search correction audit covers all major platforms at once.
The Bigger Picture: AI Reputation Management
As AI becomes the primary way people discover information, your AI reputation is becoming as important as your Google reputation. Structured data matters more than ever â AI models consume Wikipedia, Wikidata, LinkedIn, and professional directories more reliably than unstructured pages. Consistency across sources reduces hallucination. And building an accurate online presence now influences what models say about you in the next training cycle.
Frequently Asked Questions
Sources & Citations
- 1Stanford HAI research on AI hallucination rates: Language models generate false claims at rates of 3-27% depending on the task and prompt complexity. Stanford Institute for Human-Centered AI â
- 2OpenAI usage and safety documentation: Addressing accuracy concerns and the feedback reporting process. OpenAI â
- 3Reuters analysis of AI defamation lawsuits filed against major AI companies for generating false information about real people. Reuters â
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