Guide

How to Check Your Amazon Listing for Forbidden Words Before Publishing

Listlyra · Guide

Contents

1. 1. Why This Check Belongs Before You Publish, Not After
2. 2. The Word Types That Cause the Most Trouble
3. 3. A Manual Self-Check, Step by Step
4. 4. Using AI as a Second Pair of Eyes (Prompt Framework Included)
5. 5. Before-and-After: Rewriting Risky Sentences
6. 6. Pre-Publish Checklist
7. 7. A Quicker Way to Run This Check
8. 8. Summary and FAQ

1. Why This Check Belongs Before You Publish, Not After

Amazon does not read your listing the way a shopper does. Automated systems scan listing text — title, bullet points, description, and backend search terms — against policy rules, and a flag can also lead to a human review. When a scan finds wording it treats as a violation, the consequences are mechanical rather than personal: the listing can be suppressed so it stops appearing in search results while it technically still exists, taken down until the text is fixed, or recorded in your Account Health as a policy warning. Each outcome costs selling time, and editing under that pressure, with a listing already down, is when sellers make their sloppiest fixes.

There is a second, quieter cost. Some risky wording triggers no system at all and simply sits in your bullets making promises a careful shopper does not believe. "Guaranteed," "best," and "#1" have been pasted into so many listings that many buyers read them as noise — or as a reason to choose the competitor whose copy sounds like it was written about a real product.

The check is cheap at the right moment. Before publishing, your listing is a document on your screen, and a document can be reviewed in one deliberate pass. This guide gives you that pass: the word patterns behind most flags, a manual method, a way to use AI as a second pair of eyes without trusting it blindly, and a final checklist.

One boundary up front: this guide is not Amazon's official list of forbidden words, and no such single public list is reproduced here. The categories below are examples of the kinds of wording Amazon's policies restrict. Policies differ by category and marketplace and change over time, so treat every example as a prompt for your own judgment, not as clearance. The final authority is always the current policy pages for your category in Seller Central, and nothing in this article is a compliance guarantee.

2. The Word Types That Cause the Most Trouble

You cannot memorize your way to safety: the real rule set is long, category-specific, and not published as one list. What you can learn is the judgment behind it. Most flagged wording falls into one of the patterns below, and each comes with a test you can apply to your own text.

2.1 Absolute claims you cannot prove

Examples: "best," "#1," "guaranteed," "100% effective," "never leaks," "permanent results." The test: could you prove this sentence, for your specific product, with a document you actually hold? If the honest answer is no, the claim is a policy risk and a credibility problem at the same time. Facts age well; absolutes do not.

2.2 Medical and health promises

Examples: wording that says a product "cures," "treats," "prevents," or "heals" a condition, relieves pain or anxiety, or changes how the body works. The test: does the sentence promise a health outcome rather than describe the product? Health claims are among the most heavily regulated in commerce, and the approvals behind legitimate ones are not something a listing sentence can substitute for. Describe what the product is and how it is used; leave outcomes out.

2.3 Unverified superlatives and comparisons

Examples: "best-selling," "top-rated," "most popular," "better than the leading brand." These are absolutes wearing a lab coat: each one asserts a market fact you almost certainly cannot document. The test is the same as in 2.1 — if you cannot point to the evidence, rewrite it as a plain product fact or delete it.

2.4 Other brands' names and trademarks

Using a competitor's brand name in your title, bullets, or backend search terms to capture their traffic is a classic way to get flagged, and it can create trademark problems beyond Amazon. A factual compatibility statement ("fits," "compatible with") is a different situation from implying you are that brand or endorsed by it — but the line blurs easily in a keyword-stuffed sentence. This guide is not legal advice; if a compatibility mention matters to your listing, check it carefully rather than copying other sellers.

2.5 Certification, approval, and category-sensitive claims

Examples: "FDA approved," "clinically proven," "organic," "antibacterial," "eco-friendly." These words borrow authority — from regulators, labs, or standards bodies — and that is exactly why they are policed. Some are also category traps: a word that is harmless for a kitchen tool can be a regulated claim for a supplement, a cosmetic, or anything sprayed on skin or surfaces. The test: do you hold the actual certificate, approval, or test report for this product, and does it say what your sentence says? If not, the word comes out.

2.6 Promotional and off-platform wording

Examples: discount announcements, "buy now" pressure lines, your website address, phone or email, social media handles, and any request tying a review to a reward ("leave a five-star review for a free gift"). Amazon listings are not ad space for your other channels, and incentivized reviews violate policy outright. The test: does this sentence sell the product on its facts, or does it try to move the shopper somewhere else or buy their opinion? Only the first kind belongs.

To repeat the boundary from Section 1, because it matters most in this section: these are example patterns, not Amazon's official or complete list of restricted wording, and passing your text against them is not a compliance guarantee. They teach you what to look for; the official policy pages for your category decide what is actually allowed.

3. A Manual Self-Check, Step by Step

Step 1: Gather the complete text in one document. Title, all bullets, the description or A+ text, and your backend search terms. Sellers routinely check the visible copy and forget the backend terms and the words printed inside their product images — the scan does not forget them.

Step 2: Read it once as a shopper. Out loud if you can. Mark every sentence that sounds like a promise rather than a description. Your ear catches the rhythm of hype before your eyes catch the individual words.

Step 3: Run one pass per pattern. Go through the Section 2 categories one at a time, using Find (Ctrl+F or Cmd+F) on pattern stems rather than whole phrases: best, #1, guarante-, cure, treat, prevent, pain, proven, approved, certified, and any brand name that is not yours. One-pattern passes are slower than a skim, and that is the point — a skim is how the words got in.

Step 4: Apply the proof test to every flag. For each marked sentence ask: what document proves this? Test report, certificate, spec sheet — or nothing? "Nothing" means rewrite or delete, not "keep and hope."

Step 5: Rewrite with facts, not softer hype. Swapping "the best" for "premium quality" changes nothing; both are unproven claims. A real rewrite replaces the claim with a measurable fact already in your notes: a size, a material, a count, a care instruction. Section 5 shows this in practice.

Step 6: Re-read the rewritten version and save it. Edits introduce new sentences, and new sentences need the same check. When it passes, save this version as your checked copy, so a later edit starts from clean text instead of from whatever is live.

4. Using AI as a Second Pair of Eyes (Prompt Framework Included)

After the manual pass, an AI assistant is genuinely useful — as a reviewer with tireless eyes and no memory of what you meant to say. It catches patterns you have gone blind to. What it cannot do is know Amazon's current, category-specific rules, so its verdict is never clearance. Here is a framework you can copy:

You are helping me review an Amazon listing draft for risky wording before I publish it. This is a wording review only. You are not checking against Amazon's official policies, and I will make the final decision on every item.

LISTING TEXT:
[paste title, bullets, description, and backend search terms]

For each sentence you flag, give me:
1. The exact sentence, quoted.
2. The pattern it matches: absolute claim / medical or health promise / unverified superlative or comparison / another brand's name / certification or approval claim / promotional or off-platform wording.
3. One line on why it could be a problem.
4. A rewrite that keeps the factual part and drops the risky part, using only facts already in my text. If a rewrite needs a fact that is not in my text, say so instead of inventing one.

Rules:
- Judge the sentence, not just single words — the same word can be fine in one sentence and risky in another.
- If you are unsure about an item, list it anyway and mark it "unsure."
- Do not declare the listing "compliant" or "safe." You cannot know that.

Then handle the output with both of its known failure modes in mind. It will miss things — category-specific restricted terms and context-dependent problems are exactly where a general tool is weakest, so a clean AI report does not shorten your own Section 3 pass. It will also over-flag — ordinary words in harmless sentences will come back marked, and some of its "policy" explanations will sound more certain than they are. Treat every flag as a question for your judgment, not a verdict. (Any AI assistant's pricing, limits, and features change over time and are not tested here; check the tool's own site if those details matter to you.)

5. Before-and-After: Rewriting Risky Sentences

The following is an illustrative example with an invented generic product — a lavender pillow spray. It is not a real listing, and no sales or performance results are attached to it.

Notice what the rewrites did not do: swap in softer hype words. Each deleted the promise and put a checkable fact in its place — an ingredient, a size, a usage pattern. If a sentence has no factual core left once the claim is removed, the sentence itself goes.

6. Pre-Publish Checklist

Run this list against the final version, every time, including after small edits:

• ☐ I checked the complete text: title, bullets, description or A+ copy, backend search terms, and text inside images.
• ☐ No absolute claims (best, #1, guaranteed, 100%) remain unless I hold a document that proves them.
• ☐ No medical or health promises: nothing cures, treats, prevents, or relieves anything.
• ☐ No superlatives or competitor comparisons I cannot document.
• ☐ No other brand's name appears except a factual compatibility mention I have double-checked.
• ☐ No certification, approval, or regulated claim (FDA, organic, antibacterial, clinically proven) appears without the actual certificate or report behind it.
• ☐ No promotional wording: no discounts, contact details, external links, or review requests.
• ☐ If I used an AI review, I treated its flags as suggestions and made the final call on each one myself.
• ☐ I checked the current official policy pages for my category in Seller Central — the final authority — rather than relying on any example list, including this one.
• ☐ I saved the checked version, so the next edit starts from clean text.

7. A Quicker Way to Run This Check

A free checker that highlights the patterns in this guide is in the works (free checker link to be added after the extension is live).

8. Summary and FAQ

The method in one paragraph: collect the complete listing text, read it as a shopper, run one pass per risk pattern, apply the proof test to everything you flag, and rewrite with facts instead of softer hype. Use AI as a second reviewer if you like, but keep the final decision — and the final responsibility — with yourself, and confirm against Amazon's official policy pages for your category. If you are also still drafting the bullets themselves, start with our companion guide, How to Write Amazon Bullet Points with AI (Without Keyword Stuffing), then run this check on the result before you publish.

Q: Is there an official, complete list of forbidden words I can just download and follow? A: There is no single public master list to work from. Amazon's wording rules are spread across policy pages that vary by category and marketplace, and they change. That is why this guide teaches patterns and a checking method instead of a word list — and why the last item on the checklist is always the official policy pages themselves.

Q: My listing is already live and contains wording like this. What should I do? A: Edit promptly, and re-check the whole listing rather than deleting only the one word you noticed — risky wording rarely travels alone. Then look at your Account Health for any related warning and follow whatever the notice asks for. Fixing the text and answering the account side are two separate jobs; do both.

Q: If my manual check and an AI review both find nothing, is my listing guaranteed compliant? A: No. These checks reduce obvious risk; they cannot guarantee compliance, because the full rule set is category-specific, unpublished in one place, and subject to change. Treat a clean check as "no known problems found," keep your proof documents for the claims you do make, and let Amazon's current policy pages have the last word.

Related

The upcoming Bullet Point Checker automates the repetition, length, and watch-list checks described in this guide. It is currently in development.