Your AI Compliance Checklist: 4 Pillars Before You Publish

A CMO asked me a question last quarter that I keep coming back to: “Can my team run this AI-generated ad without getting sued?”

Fair question. And the real answer is that most marketing teams have no idea, because the rules have been moving faster than anyone’s compliance review.

The FTC keeps tightening its stance on AI claims and synthetic endorsements, and the EU’s AI Act is now phasing in real obligations on a published timeline rather than sitting in draft. The result is a landscape that shifts every few months. Most marketers are running campaigns through it blind.

You don’t need a law degree to stay out of trouble. You need a short checklist you actually run before you publish. Here are the four pillars I use, plus the red flags that mean you stop and call a lawyer.

This sits under my larger guide to AI marketing governance, where the same principles scale up to policy, ownership, and risk across a whole team.

The four pillars of AI marketing compliance

1. Transparency

The fastest way to land in trouble is to hide that AI was involved when a reader would have wanted to know.

What to do:

Disclose AI use when content is substantially AI-generated, not lightly assisted.
Label synthetic media: AI voices, AI presenters, generated images of people, AI “influencers.”
Update your privacy policy to cover how AI processes the data you collect.

Where teams slip:

AI-generated testimonials or reviews with no disclosure. This is the one regulators care about most.
Passing off AI-built customer reviews as real.
Heavy AI edits to product photos that change what the customer is actually buying.

Easy win: Keep a disclosure line ready to drop in: “This content was created with AI assistance and reviewed by our team.” Reviewed is the operative word. Say it only if it’s true.

2. Know the rules where you operate

You don’t have to memorize every statute. You do have to know which ones touch marketing.

Region	Rule	Why it matters for marketing
US	FTC endorsement guides	Truth-in-advertising rules apply to AI content the same as human content
EU	AI Act	Transparency duties for AI-generated content; high-risk uses face heavier obligations as the timeline phases in
California	SB-1001	You must disclose when a bot, not a person, is talking to customers

Action step: Skim the FTC’s recent technology and AI actions once a quarter. Their enforcement choices tell you where the line is moving better than any think piece.

3. Copyright safety

This is where the legal ground is still settling, so the smart play is to lower your exposure rather than bet on how a court rules later.

Safer practices:

Use tools that license their training data or offer commercial indemnity in writing. The major paid tiers from the big labs increasingly do.
Review AI output before it ships. A human QA pass catches the lifted phrasing and the accidental near-copies.
Aim for original work rather than close imitations.
Keep a light record of your creative process. It helps if anyone ever questions ownership.

Higher-risk activities:

Prompting “in the style of [a named living artist or specific brand].”
Using AI to recreate copyrighted characters, logos, or trade dress.
Training or fine-tuning on scraped competitor content.

4. Update your terms and privacy policy

Your legal docs were probably written before generative AI touched your funnel. They need to catch up.

Data usage your terms should address:

Whether and how customer data trains AI models.
What you share with third-party AI services.
What rights users have over AI processing of their information.

Content rights to nail down:

Who owns AI-generated output.
How user-generated content may feed AI training.
Who carries liability for what an AI produces.

A line to start from: “Our services may use artificial intelligence to improve your experience. By using our service, you consent to AI processing of your interactions as described in our Privacy Policy.” Treat that as a starting point for your counsel, not a finished clause.

Red flags: when to call your lawyer

Run the checklist yourself, but stop and get a real legal review if you’re:

Rewriting your privacy policy to cover AI.
Using AI in regulated consumer decisions such as credit, insurance, or admissions, or any high-stakes personalization.
Training AI on sensitive customer data, especially if you operate in a state with deletion or opt-out rights.
Marketing in a heavily regulated industry: finance, healthcare, insurance, or anything adjacent.

These are not “review it later” situations. The cost of asking first is an hour of counsel. The cost of asking after is the thing the lawyer was supposed to prevent.

Three compliance wins you can ship this week

Add an AI disclosure to your next campaign and make it part of the publishing checklist, not a one-off.
Update your About page to say plainly how and why you use AI. Readers reward the clarity.
Build an AI QA checklist for your team so the same review happens every time instead of when someone remembers.

I keep a free version of that QA checklist in the MA Resource Library so you don’t have to start from a blank page.

What compliance actually buys you

Compliance is not only about dodging lawsuits. It’s about earning trust from customers who increasingly notice, and reward, the brands that are upfront about how AI shows up in their work. Get the four pillars right and disclosure stops feeling like a tax and starts working like a differentiator. For the bigger picture of how this fits a full AI strategy, see where it lands in my AI marketing hub.

One caveat I’ll repeat, because it matters: laws here change fast, and I’m a marketer, not a lawyer. Use this to get organized and to know when to bring in counsel. Use counsel for your specific situation.

Stay on the right side of the AI rules

The compliance line keeps moving, and most marketers find out it moved only after a campaign is already live. I track the FTC actions, the AI Act milestones, and the disclosure norms that actually stick, then send you the short version of what changed and what to do about it. Subscribe free and keep your next AI campaign clean before it ships, not after.