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Why AI-written Amazon listings get flagged: 7 claim patterns, and how to rewrite them

The suppression usually comes from a sentence, not a keyword — and that is exactly the sentence a model is most likely to write.

Drafted by AI, checked by a human — the same rule we apply to our own copy.

Ask ten sellers why a listing was suppressed and nine will say "keywords" or "the algorithm". Ask the sellers who read their own performance notifications and you get a different answer: the problem is usually a sentence, not a term. A claim that cannot be substantiated.

Language models make this worse in a specific, predictable way. A model that has never seen the product produces fluent, confident copy in the shape of your category. Supplements get clinical language, cleaning products get "kills 99.9%", textiles get "sustainable". None of that is invented malice — it is pattern completion. But every one of those sentences is a claim the seller now has to prove.

Here are the seven patterns that come up most often, with the rewrite we actually deliver.

1. The borrowed authority claim

Before: "Clinically proven to reduce joint pain in 14 days."
After: "Formulated with glucosamine and chondroitin (see supplement facts)."

The premise is only defensible if you hold a study on your formula. A supplier's marketing PDF is not evidence. Either cite the document you can produce on request, or move the same benefit into factual ingredient language.

2. The accidental medical device

Before: "Relieves inflammation and supports recovery from injury."
After: "Designed for post-workout comfort. Not intended to diagnose, treat, cure or prevent any disease."

Relief and recovery language moves a product from accessory to drug or device in the eyes of most marketplaces and most regulators. Keep the comfort framing, add the disclaimer, drop the therapeutic verbs.

3. "FDA approved"

Before: "FDA approved formula."
After: "Manufactured in FDA-registered facilities."

Almost nothing sold on a marketplace is "FDA approved". Facilities are registered; that is a factual, checkable statement. The approved version is the fastest way to lose a listing.

4. The invented statistic

Before: "94% of users saw results in one week."
After: "See results reported in customer reviews."

Models generate plausible percentages because percentages appear in the training data. If you did not run the study, the number must go — and the replacement must not smuggle the statistic back in.

5. Green claims without a document

Before: "100% eco-friendly, biodegradable, carbon neutral."
After: "Packaging made from 70% post-consumer recycled paper. Certificate: [document name]."

Environmental claims are now the most heavily documented category on both sides of the Atlantic. Each adjective needs a paper trail: certification, test method, or an invoice for the offset. Anything else is decoration with risk attached.

6. Absolute performance and safety promises

Before: "Guaranteed to eliminate odours. Safe for all pets and children."
After: "Targets common household odours. Keep out of reach of children and pets."

"Guaranteed" converts a product description into a performance contract. "Safe for all" is a safety claim that no seller can support, because it is a statement about every possible user.

7. Origin and certification drift

Before: "Made in USA with imported materials. CE certified."
After: "Assembled in the USA. Components imported. CE marking on file for the EU model."

Origin rules are strict and country-specific, and CE marking is not a certification in the consumer sense. If the model wrote it because competitors write it, it has to be checked line by line.

What a claim check actually looks like

Checking is not "read it again". It is one pass with three outputs:

  1. Supported — the claim has a document, a certificate or a supplier statement behind it. Keep it, and note the source.
  2. Needs evidence — the claim may be true, but the document is not in the folder. Hold it, ask for the paper, then decide.
  3. Remove — no realistic path to substantiation. Cut it and rewrite the sentence around a fact you can prove.

That list is the deliverable sellers can act on. It is also what makes the difference between copy that converts and copy that quietly costs you a listing three weeks later.

Why this matters more now that AI writes the first draft

Speed is not the bottleneck any more. Anyone can produce a page of listing copy in twenty seconds. The bottleneck is the sentence that looks perfect and cannot be defended — and that is exactly the sentence a model is most likely to write, because it is the sentence that appears most often in the training data.

The workable split is simple: let the model do the drafting, and put a human on the claims. Not a "human touch" as a marketing word — a person who reads each factual line against your documents and tells you which three sentences to delete before you publish.

*Vitrina AI drafts Amazon and Shopify listing copy with AI, then a human editor verifies every factual claim against the seller's own sources and returns a claim-check list. $99 per Amazon ASIN, $49 per Shopify product page, one revision included, no account access required. One product page checked free: vitrina-ai.com*

Free claim check on one product page

Send one product URL. You get every factual claim marked as supported, needs evidence or remove, with the rewritten lines.

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