Before AI marketing content goes live, it should pass at least four checks: factual accuracy, risky wording review, platform and legal review, and source traceability.
- Verify facts and numbers before style
- Flag absolute and promise-based claims
- Review by platform-specific rules when needed
- Keep evidence and approval records
Factual accuracy comes first
AI-generated language can sound polished even when the underlying facts are weak. Any data point, case study, policy reference, or credential needs a source check.
Maintain a clear risky-language ruleset
Many compliance failures are caused by exaggerated, absolute, or implied claims rather than by the core topic itself.
- Absolute claims such as best, only, 100%
- Outcome guarantees and certainty language
- Sensitive medical, financial, and regulated wording
Compliance also helps long-term AI trust
Sites that repeatedly publish unverifiable or inflated content are less likely to remain stable sources over time.
Does AI-generated content always need human review?
Yes, especially in regulated or high-risk business contexts.
Will compliance reduce content performance?
It may make wording more disciplined, but it improves long-term trust and citation quality.
Should FAQ content also be reviewed for compliance?
Yes. FAQ pages are often quoted directly, so risky claims are even more dangerous there.