An AI content policy for marketing should fit on one page and answer five questions: which tools are approved, what data can go into them, who reviews output before it ships, when you disclose AI use, and what AI must never write without a human source. Teams follow short rules; they ignore long ones.
A one-page template
- Approved tools: list them, with business accounts and data-training settings turned off where available.
- Data: no customer personal data, client confidential information or unreleased financials in unapproved tools.
- Review: a named person reviews every piece for accuracy, voice and compliance before it publishes.
- Facts: every number, quote, claim and citation is checked against a source. AI suggests; people verify.
- Authorship: content published under a person’s name is approved by that person.
- Disclosure: follow platform rules and any legal requirements in your industry for AI-generated or altered media.
- Images: no AI images of real people or that imitate other brands’ work; label illustrations where it matters.
- Regulated claims: health, financial, legal and results claims always go through the usual compliance review.
| Green: go ahead | Yellow: human review required | Red: never |
|---|---|---|
| Brainstorming and outlines | Anything published under a person's name | Client confidential data in public tools |
| Rewriting your own drafts | Statistics and claims | Customer personal information |
| Summaries of public sources | Legal, medical, financial or regulated content | Fake reviews or testimonials |
| Ad copy variations | Images of real people or products | Impersonating a real person |
| Internal notes | Anything sent to customers | Publishing without a human check |
Make it stick
- Put the voice guide and banned-claims list into shared prompt templates.
- Keep a log of what AI was used for on each major piece.
- Review the policy quarterly; tools change fast.
Frequently asked questions
Do we have to disclose AI-written content?
It depends on platform rules, industry regulation and context. Disclose where required, and never present AI output as a real person’s experience.
Does Google penalize AI content?
Google’s guidance focuses on helpfulness and quality rather than how content is produced. Thin, unreviewed content performs poorly regardless of who wrote it.
We write AI policies and guardrails for marketing teams before we build any workflow.
