Back to Blog
compliancecopywritingftchealthcareai-content

Supplement Marketing Compliance: Our Banned-Words List (Simply Explained)

A plain-language guide to supplement marketing compliance. No jargon, no tech speak, just what it means for your business.

By Mike Hodgen

Want the full technical deep dive? Read the detailed version

One Word Can Cost Someone Their License

In supplement marketing, the whole game comes down to verbs.

Here's something most people don't realize. "Supports immune health" is perfectly legal. "Prevents the flu" is not. Same product, same intent, two words apart. One of them is fine. The other one can trigger a federal investigation.

I work with a longevity supplement brand, and the person on the hook isn't some faceless company. It's the medical director. Their personal license is exposed if the company gets hit by the FTC. When a piece of copy crosses the line, that's the name attached to it.

Now imagine a content team writing dozens of pieces a week. Plus an AI writing even more. Everyone's advice for this situation is "be careful with your claims." That advice is useless. You can't enforce "be careful" across a team of writers, and you definitely can't enforce it on software pumping out copy at volume.

So we built something that actually works. We turned "be careful" into a real filter that every piece of copy has to pass through before it goes live.

The Line Between a Supplement and a Drug

The law is actually simple once you cut through the legal language.

Supplements can say how a nutrient supports your body's normal function. They cannot say they treat, cure, or prevent a disease. That's the entire game.

Legal words: supports, maintains, helps promote, contributes to. "Supports immune health." "Helps promote restful sleep." These describe keeping a healthy body working. They don't claim to fix something broken.

Illegal words: treats, cures, prevents, reverses, heals. The moment you say a product cures or prevents a disease, you've described a drug, and a supplement is not a drug.

Here's the trap that burns most brands. "Supports cardiovascular health" is fine. "Lowers cholesterol" is not, because high cholesterol is a medical condition, and lowering it sounds like treatment. The disease name is the tripwire. The second a disease shows up inside a benefit sentence, you've crossed the line.

We Sorted Every Word Into Three Buckets

We don't ask writers to memorize the rules. We sorted the vocabulary into three buckets, which turns a judgment call into a simple lookup.

Bucket one: banned. Hard stop, no exceptions. Cure, treat, prevent, reverse, heal. Also "FDA-approved" (supplements never are) and "clinically proven" when there's no actual study on file. If a draft contains one of these in the wrong context, it does not ship. The filter holds it.

Bucket two: caution. Words like "clinically studied" and "shown to." These are legal only if you actually have the study to back them up. So the filter flags them and demands the proof before the copy clears. No study, no claim.

Bucket three: safe. The approved words the AI can use freely. Supports, maintains, helps promote. This is the lane the copy runs in by default.

The point is that compliance stops being a debate. Nobody argues about whether "cures" is risky. It's banned. Look it up. Done.

And the obvious banned words get caught instantly, before any AI even reads the copy. We run a fast, simple scan first that catches the hard-stop words every time. The smarter AI only handles the trickier, context-dependent calls.

The Disclaimer Rules Almost Everyone Gets Wrong

This is where most brands think they're protected and aren't.

You know that FDA disclaimer: "This statement has not been evaluated by the FDA. This product is not intended to diagnose, treat, cure, or prevent any disease." Most brands dump it once in the website footer and figure they're covered. They're not.

The rule says the disclaimer has to sit right next to the claim it covers, not three scrolls down at the bottom of the page. A footer disclaimer does nothing for a claim made in a big banner up top. So our filter checks for it. If a claim appears, the disclaimer has to appear near it.

Then there's the testimonial trap. Brands love slapping "results not typical" in tiny gray text under a big success story. The FTC actually tested this. It does not work. The small print doesn't undo the impression the testimonial creates.

If you show "I lost 40 pounds," you have to state the normal expected result, in the same size type, right next to it. Not 8-point gray. Equal size. The escape hatch everyone relies on is the exact thing regulators built a case around. Our filter checks for that too.

How the Filter Runs on Every Single Draft

The rule is simple: every piece of copy passes through the same filter before it goes live. Doesn't matter if a person wrote it or the AI did. Same filter, same rules, no exceptions for the human.

It runs in three passes, like a quality check at three stations on an assembly line.

First, a fast scan hunts for the banned words and disease names. "Cure" is "cure" whether a person typed it or software generated it. No thinking required, so no thinking errors.

Second, smarter AI reads the copy and judges context. Is that disease name sitting in a benefit sentence? Did the surrounding words accidentally imply treatment? This catches the subtle stuff the simple scan can't.

Third, the filter confirms the disclaimer sits next to its claim, and that any testimonial carries the expected-result statement at the right size.

If anything trips, the draft gets held and flagged with the exact problem. Not "this might be risky." The reviewer gets: "Line 4 says 'prevents diabetes,' a banned disease claim, hard stop." Concrete and actionable.

Here's the honest part. The AI layer isn't perfect. It misses edge cases now and then. That's exactly why the simple scan runs first, so the unmissable stuff never depends on AI getting it right, and why a human still approves the genuine gray areas. The filter doesn't replace judgment. It clears out the mountain of obvious work so judgment goes where it matters.

Why This Makes the Marketing Better, Not Worse

The fear I hear most is that compliance kills the marketing. It doesn't. It sharpens it.

Watch what the system does with real copy:

"Cures inflammation" becomes "supports a healthy inflammatory response."

"Prevents memory loss" becomes "supports cognitive function and memory."

"Lowers your cholesterol" becomes "helps maintain healthy cholesterol levels already within a normal range."

The marketing didn't disappear. It got more specific. "Cures inflammation" is a vague overpromise that also happens to be illegal. The legal version is clearer about what the product actually does.

When you can't reach for the lazy disease claim, you have to describe the real benefit. And the real benefit is usually more believable to a skeptical buyer anyway. Customers have learned to tune out "cures everything" copy. Specific, measured language reads as more honest, because it is.

I've watched this play out across hundreds of pieces. The clean version usually converts at least as well as the reckless one, and nobody's license is on the line.

If your only safeguard right now is "be careful," you're one careless verb away from an FTC letter. That's not a strategy. It's a filter waiting to be built.

Want to explore what AI could do for your business?

Book a free 30-minute strategy call. No pitch deck, no sales team, just a real conversation about your operations and where AI fits.

Book a Discovery Call

Get AI insights for business leaders

Practical AI strategy from someone who built the systems — not just studied them. No spam, no fluff.

Ready to automate your growth?

Book a free 30-minute strategy call with Hodgen.AI.

Book a Strategy Call