Test it. Ask the major AI tools the questions people actually ask about your company (what it does, who runs it, its history, its controversies), then read the answers alongside your Wikipedia article. Borrowing is easy to spot: your article's wording coming back to you, its structure reflected in how the answer is organized, a link to the article in tools that show their sources, and, most revealing of all, its mistakes repeated. If an AI answer gives the same outdated revenue figure or names the same long-departed executive as your article, you've found your source.
Do this regularly, not once. Use the same list of questions every time, run them every quarter, and save the full answers. Over time that gives you a record: you'll see whether answers improve after the article does, and you'll catch new errors early. Expect the tools to differ. Some look up current web pages before answering, while others rely on what they learned when they were built, so the same question can get you a current picture of your company from one tool and an outdated one from another.
Last updated September 27, 2026.
