How to check what ChatGPT says about you

When someone asks an AI assistant about you, your company, or your brand, you rarely hear the answer. That first impression is increasingly important: it can shape whether you get the meeting, the partnership, or the benefit of the doubt. More people than ever use ChatGPT, Claude, or Gemini to look up names and companies before a call or a decision—and what they see is often taken at face value.

Checking what AI says about you isn’t complicated, but it does require a structured approach. This guide walks you through why it matters, what to look for, and the simplest way to get a clear picture without guessing.

Why it matters

AI systems like ChatGPT, Claude, and Gemini draw on their training data and, in some cases, on live retrieval. What they say about you can be accurate, outdated, mixed with someone else’s identity, or simply absent. The only way to know is to check.

Unlike a Google search result you can refresh and refine, AI answers are opaque: you don’t see the sources, the confidence, or whether the model is hedging. A single wrong or vague answer in a high-stakes context—a board packet, a due-diligence check, a journalist’s background research—can create lasting doubt. Proactively checking gives you the chance to correct, clarify, or at least be aware before someone else forms an impression.

What to check

A useful first step is to see how the main models answer simple queries: "Who is [your name]?", "What is [your company]?" The answers give you a first impression: clear recognition, confusion, or silence. From there you can decide whether you need a deeper diagnostic.

It’s worth checking more than one model. OpenAI, Anthropic, and Google don’t share the same training data or retrieval; one may have you right while another mixes you up or asks "which one?" Comparing across models shows whether the issue is isolated or widespread. You also want to notice ambiguity: if the answer is a blend of several people or entities, or if the model explicitly asks for clarification, that’s a signal that disambiguation may be needed.

Next step

A Scan captures this first impression across three major AI models in one go and delivers a short PDF report. It doesn’t change what AI says—it shows you what it says today, so you can decide what to do next.

You submit the entity name and your email, pay once ($19), and receive the report by email. No subscription. If the Scan shows clear, consistent answers, you may be done. If it shows confusion, mixed identities, or silence, a full Snapshot can diagnose why—retrieval behavior, web context, and entity resolution—and whether improvement is realistic.