Guide

Rules for AI-written marketing claims: what a team should agree

AI drafts marketing copy with confident claims nobody measured: "the fastest", "proven", "trusted by thousands", "guaranteed". A marketing team should agree five rules before any AI draft goes out. Every checkable claim has proof on file before it runs; in the US, the FTC expects a reasonable basis for objective claims, and "tests prove" needs at least that level of proof. Superlatives and comparisons need a current, like-for-like test. Testimonials come from real customers, with permission, and never from AI: the FTC's 2024 rule covers AI-generated fake reviews. Conditions of an offer sit next to it, not only in a footnote. And one named person approves each piece.

Short answer

  • Proof first: every checkable claim has a source before it runs.
  • Superlatives and comparisons: a current, like-for-like test.
  • No AI-written reviews; real testimonials, with permission.
  • Conditions next to the offer, and one named approver.

The team's rules

  1. List every claim a reader could check: numbers, rankings, comparisons, results, "only", "first", "guaranteed", "secure".
  2. Attach the proof to each one, with its date and method. No proof, no claim.
  3. Treat health, money, safety and compliance claims as high risk, and send them to whoever signs off legal points.
  4. Use only real testimonials, with written permission and any payment or free product disclosed.
  5. Put conditions next to the offer: "free" with "card required" in the same place.
  6. Name one approver per piece, and keep the proof with the published version.

A worked example

Illustration: a made-up business. A 12-person company that sells scheduling software asks its AI for a landing page headline and three proof points. The marketing lead, Jun, runs the claims check on the draft:

Claim in the draftProof on fileRiskWhat runs
"The fastest scheduling app for clinics"NoneHigh"Book a patient in under a minute", from the March timing test of 40 bookings
"Trusted by thousands of clinics"Billing shows 640 clinicsHigh"Used by 640 clinics"
"Dr. Patel: 'It saved us 10 hours a week'"No such customer: the AI invented itHighRemoved; a real quote from a customer who agreed in writing
"Free for 30 days"Plan terms: card requiredMedium"Free for 30 days. Card required; cancel any time before day 30."

Jun approves the page with the proof for each line saved beside it, and adds one line to the team's prompt: "Never write a testimonial, a number or a superlative we haven't given you."

Put the rules where the AI reads them

  1. Add the never-list to the team's instructions: no invented testimonials, numbers or superlatives.
  2. Give the AI your approved proof points as a file, so it uses those instead of inventing.
  3. Run a claims check on every draft before review, not after publishing.
  4. Keep customer data out of personal accounts; see what not to paste.
  5. Have counsel read anything in health, finance, safety or comparison with a named competitor.

A summary of US rules, not legal advice. Other countries have their own advertising rules.

Next step: make the check a skill

A rule the team has to remember gets skipped on a busy day. Claude skills for marketing covers turning the claims check and your voice into skills the whole team's AI uses, and the AI usage policy template covers the company-wide rules.

Skills for this

All skills

Questions

Can we publish marketing claims that AI wrote?

Yes, if a person checks them against proof first. In the US, the FTC expects a reasonable basis for objective claims before they run, and a claim like 'tests prove' needs at least that level of proof. AI drafts often add superlatives and numbers nobody measured, so list every checkable claim and remove or source each one.

Can AI write customer reviews or testimonials?

No. The FTC's 2024 rule on reviews and testimonials covers reviews that misrepresent that they're by someone who doesn't exist, such as AI-generated fake reviews, and lets the agency seek civil penalties against knowing violators. Testimonials must come from real customers, with their permission.

What should a team's rules for AI-written marketing include?

Every checkable claim has proof on file before it runs; superlatives and comparisons need a current like-for-like test; testimonials are real and permitted; conditions of an offer sit next to it, not only in a footnote; and one named person approves each piece.

AI skill

Have your AI flag risky claims in your marketing copy

Put this skill in AI Skill Pod and everyone on your team gets it in their Claude, Cursor or ChatGPT (Pro, Business, Enterprise): one invite link, free to start. Marketing claims check has your AI check every draft before it runs: each checkable claim listed and classified, the proof it needs, a risk rating, the fine print checked against the headline, and a safer line for anything the proof doesn't support.

Use this skill in your AI

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Sources

  1. FTC Policy Statement Regarding Advertising Substantiation (23 November 1984) — a reasonable basis for objective claims before they're disseminated; a claim like 'tests prove' needs at least the stated level of support (read 2026-11-05)
  2. FTC: final rule banning fake reviews and testimonials (14 August 2024) — covers reviews that misrepresent they're by someone who doesn't exist, such as AI-generated fake reviews; civil penalties against knowing violators; effective 60 days after publication (read 2026-11-05)
  3. FTC: The Endorsement Guides, what people are asking — endorsements reflect honest experience; material connections disclosed (read 2026-11-04)
  4. OpenAI Help: Data controls — personal plans train on chats by default unless turned off; read through search-result text (read 2026-11-05)