How do we control what ChatGPT says about us?

No company can control ChatGPT’s output directly. The model is proprietary, the prompts belong to users, and asking the model to change its answer has no lasting effect across sessions or users, because ChatGPT does not learn from or remember individual conversations. What works is influencing the sources ChatGPT relies on and monitoring continuously so drift gets caught early.

The levers that actually move the answer

AI reputation comes out of the sources the engines read, and that is where the work happens. In our experience, in rough order of influence, the levers are:

• Wikipedia, the biggest lever. It is one of the most-visited sites on the internet and a reference AI engines lean on heavily.
• Mainstream news coverage, reputable outlets keep corrections policies and will fix documented factual errors when they are properly sourced.
• Structured data, the machine-readable facts that feed knowledge graphs and entity records.
• Well-built owned properties, your own sites and profiles, kept accurate and crawlable.

Why “just tell the model” doesn’t work

The answer is built from the sources. Managing the answer without managing the sources gets you nowhere: the engine doesn’t remember the conversation, so a correction typed into one chat session disappears when the next user opens a fresh one, and the engine rebuilds the answer from the sources it trusts. Lasting change comes from those sources, not the chat box.

Continuous monitoring

No fix is permanent and the models keep changing, so the source work has to be paired with ongoing measurement. AIQ polls eight major AI engines: ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode. When the narrative drifts from accurate or fair, you catch it early and address the right source.