What Is ChatGPT Saying About You behind your back? (And Can You Control It?)

Most people have started to think carefully about what Google says about them. Fewer have thought about what AI says, and that’s quickly becoming the more important question.

When someone asks ChatGPT, Gemini or Perplexity about a person, a business or a professional, they get back something that feels very different from a list of search results. They get a paragraph. A confident, fluent summary that reads like a briefing note, written in plain English, presented without caveats. It doesn’t show you ten links and leave you to decide. It tells you what it thinks you need to know.

The problem is that what it thinks you need to know might be outdated, incomplete or just wrong.

Where AI gets its information and why that matters

AI models are trained on vast amounts of publicly available content: news articles, Wikipedia, forums, reviews, court documents, social media and more. They don’t have access to your version of events. They don’t know that the article from 2019 is no longer accurate, that the case was resolved, or that you’ve rebuilt the business and moved on entirely. They know what was published, and they reflect it back with the same confidence regardless of whether it still applies.

Wikipedia in particular carries enormous weight in how AI models summarise public figures and professionals. It’s treated as authoritative, which means whatever your Wikipedia page says, or doesn’t say, often becomes the foundation of an AI summary. If your page doesn’t exist, is incomplete, or contains outdated information, that gap gets filled in with whatever else the model can find, which may not be the version of you that you’d choose to present.

The difference between Google and AI and why it matters for your reputation

When Google surfaces a negative article, the reader can at least see the source, assess the context and decide how much weight to give it. They can see it’s from 2017, or that it’s from a publication they don’t trust, or that it’s one result among many telling a different story.

AI doesn’t give you that. It synthesises everything it knows into a single, authoritative-sounding answer with no timestamp, no source credibility rating and no visible context. For the person reading it, the summary simply is the answer, and that makes it considerably harder to challenge or contextualise.

Can you control it?

Not directly. You can’t submit a correction to ChatGPT the way you might request a Google result be reviewed, and the models are retrained periodically with no obvious front door for reputation management.

What you can influence is the source material those models draw from, and that’s where the work happens. A well-maintained Wikipedia page, strong authoritative content indexed across credible sources, and the removal or suppression of outdated press all feed into how AI eventually represents you. It’s a longer game than traditional SEO, but it’s increasingly the game that matters.

This is also why getting ahead of it is significantly easier than catching up. Once a narrative is embedded in the training data at scale, it takes real time and consistent effort to shift. The people who will find this easiest to manage are those who have been actively shaping their digital presence before AI became the primary research tool, not after.

The question most people haven’t asked yet

Go and ask ChatGPT about yourself right now, not Google, ChatGPT. See what it says, how it frames you, and whether you’d be comfortable with a new client or business contact reading that paragraph before they’d ever spoken to you.

If the answer gives you pause, it’s worth taking seriously, because more and more people are using exactly that as their first impression of who you are.

At Next Chapter, we help individuals and businesses understand and shape how they appear across both traditional search and AI platforms. If you’d like to know where you currently stand, get in touch for a confidential conversation.