Definition
AI fact-checking means verifying the accuracy of content an AI produced before it is used. Large language models can generate confident, plausible-sounding but incorrect details — wrong prices, dates, statistics or references — a problem called hallucination. For email, that makes a human fact-check step essential, especially for promotional claims, transactional details and anything regulated.
What to Verify
- Prices, discounts and offer terms
- Dates, deadlines and availability
- Statistics and cited research
- Product names and features
- Claims that could mislead or violate ad rules
- Regulatory statements about privacy or consent
A Simple Fact-Check Workflow
- Read the AI output with a critical eye
- Check every number and date against your source
- Confirm offers and CTAs match reality
- Review compliance lines against current law and policy
- Edit before scheduling the send
Why It Matters
A single wrong price or false statistic can trigger complaints, refunds or regulatory issues and damage trust. With AI generating more email, the human checkpoint becomes the main guardrail between a plausible draft and an accurate message.
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Frequently Asked Questions
LLMs can state incorrect details confidently — a hallucination. Prices, dates and statistics generated by AI must be checked against your real source before sending.
Review the draft, verify every number and date, confirm offers and CTAs, check compliance lines against current policy, and edit errors before scheduling. Treat AI output as a draft, not gospel.
It is when an AI produces a response that sounds plausible but is factually wrong, such as a made-up statistic or wrong price. It is why AI email copy always needs a human accuracy check.