To fact-check AI output before you use it, treat every fact, figure, name, and link as unverified until you confirm it from a real source. AI can produce confident, well-written answers that are wrong, so a quick verification habit is what keeps these errors out of your customer-facing work.
This guide gives you a fast checking routine. For data rules, read our governance checklist.
What to always verify
- Statistics and numbers
- Names, dates, and quotes
- Links and citations
- Prices, policies, and promises
A quick checking routine
- 1
Spot the claims
Highlight every factual statement..
- 2
Find the source
Confirm each from a credible reference..
- 3
Check the links
Open every URL to confirm it is real..
- 4
Fix or remove
Correct anything you cannot verify..
Treat the figures below as third-party research and general context, not a forecast for your own business.
Why this matters for trust
One published error can cost trust with a customer. A two-minute check is cheap insurance against a mistake that is hard to take back.
A real-world reference
McKinsey's State of AI research lists accuracy and oversight among the main challenges organizations manage when using AI.
Frequently asked questions
Why do I need to fact-check AI? +
Because AI can be confidently wrong. Verifying facts protects your business from costly errors.
What should I check in AI output? +
Statistics, names, dates, quotes, links, and anything about prices, policies, or promises.
Can AI make up sources? +
Yes. Always open links and confirm citations are real before relying on them.
How long does fact-checking take? +
Usually a couple of minutes, which is cheap compared with the cost of a public mistake.
More on our blog.