How do I know if AI-generated content is accurate or if it's making things up?

AI tools can produce confident-sounding but completely fabricated information — often called hallucinations — so you should verify every factual claim, statistic, quote, and citation before publishing anything AI writes. This isn't a rare glitch. It happens constantly, especially with specific numbers, dates, names, and sources. Here's a concrete example: ask an AI tool for the exact revenue of a mid-sized company in 2023, and it might confidently state "$47.3 million" — a number that sounds precise but was never in its training data. Or it might invent a study from "Harvard researchers" that doesn't exist. I've seen this happen with legal citations, medical claims, and even simple historical dates. The scary part is how plausible the errors look. My verification workflow: first, flag every number, quote, and named source in the AI draft. Second, check each one against a primary source — the actual company report, the original study, the official government page. Third, if you can't verify something, delete it or mark it clearly as unverified. A useful tip: ask the AI to include source URLs, then actually click them. Often the URLs are broken or point to unrelated pages, which is a red flag that the content was fabricated. For more on getting reliable output, see our guide on [troubleshooting when ChatGPT prompts don't work](/blog/chatgpt-prompts-not-working). **Related**: Why does AI make up fake sources? | What's the best way to fact-check AI content?