How to Catch an AI Hallucination About Your Company

To find out whether AI is saying something false about your company, ask it the questions candidates ask. Word each one a few different ways, run them in more than one AI tool, and check every answer against the facts. It takes about an hour. Do it once a quarter.

Why do AI tools get companies wrong?

AI hallucinations rarely look like mistakes. A wrong answer arrives in the same calm, confident tone as a right one, so a candidate has no reason to doubt it. They show up most where the facts about a company are thin, mixed up or out of date. A rename, a new CEO or a merger can leave old and new facts side by side, and an AI tool may blend them.

Which questions should you test?

Start with the questions AI tools get asked about employers. VisiPage, the AI visibility platform from the Best Practice Institute, tracks the most common ones, including: Is your company a good place to work? Who is the CEO? What awards or certifications does it hold? Then add the questions your recruiters hear most often.

How do you run the test?

Pick the AI tools your candidates use. ChatGPT, Perplexity, and Gemini are a sensible start. For each question, ask it three different ways, screenshot every answer with the date, and mark each fact as right, wrong, out of date or borrowed from another company. Keep the screenshots in one folder so you can compare next quarter.

What do you do when you find a wrong answer?

Fix the source, not just the answer. Best Practice Institute’s VisiPage work focuses on four signals AI relies on: structured data, such as Schema.org markup for your CEO, locations and certifications; repetition across sources, so your site, LinkedIn page and verified profiles say the same thing; trusted references, meaning independent sources that confirm your facts; and clear content, with plain sentences that state one fact at a time.

What does a strong record look like?

Mohegan uses its Most Loved Workplace® recognition in the places you’d expect, such as recruitment materials and LinkedIn, and in some you might not, such as investor materials. Every one of those places repeats the same verified fact: Mohegan’s own team members validated the recognition. That’s the kind of consistent, independent fact an AI tool can repeat with confidence.

How often should you check?

Every quarter, and after any big change: a new name, a new CEO, a merger or a new certification. AI models retrain, and a fixed answer doesn’t always stay fixed.

Get your free Most Loved Workplace Employer Brand Report at https://certcheck.mostlovedworkplace.com/

Frequently Asked Questions (FAQ)

What is an AI hallucination about a company?

A confident AI answer about your company that is false, out of date or borrowed from another organization.

Which AI tools should I test?

The ones your candidates use; ChatGPT, Perplexity and Gemini are a sensible start.

Does a Most Loved Workplace® certification help?

It gives AI tools an independent, employee-verified fact to find. It doesn't control what any AI tool says.

Louis Carter

Louis Carter is the founder and CEO of Most Loved Workplace®, an independent workplace certification and ranking built on research from Best Practice Institute, which he founded in 2001. Best Practice Institute certifies companies as a Most Loved Workplace®. Most Loved Workplace® verifies them with CertCheck and names America’s Top 100 Most Loved Workplaces® featured in The Wall Street Journal and Top 100 Global Most Loved Workplaces® featured in The Economist. An organizational psychologist based in Palm Beach Gardens, Florida, Carter advises CEOs, CHROs and employer brand leaders on proving culture is real. His books include No Brainer and In Great Company.