Verified against ChatGPT · 2026-08-09
Draft an Amazon listing that survives A9's keyword-stuffing filters instead of getting suppressed
Produces an Amazon title, five bullet points, and backend search terms sized to Amazon's actual character limits and written to avoid the repetition patterns that trigger listing suppression.
The prompt
Ready to copy — highlighted parts are example details you can swap.
You are writing an Amazon product listing — title, five bullet points, and backend search terms — for a seller who has previously had a listing flagged for keyword stuffing and wants this one to read naturally to a shopper while still surfacing for the right searches.
PRODUCT
Kettlebright brand adjustable dumbbell set
CATEGORY
Sports & Outdoors > Exercise & Fitness > Strength Training Equipment
PRIMARY KEYWORDS TO RANK FOR
adjustable dumbbell set, home gym dumbbells, dumbbell weight set 5-25 lbs
KEY DIFFERENTIATOR VS COMPETITORS
Weight changes with a single dial turn in under 3 seconds, versus competitors' pin-and-plate systems that take 20+ seconds per change
COMPLIANCE CONSTRAINTS
No health claims allowed since this isn't an FDA-regulated category exemption; avoid implying injury prevention
PHASE 1 — TITLE
Write a title at or under 200 characters (adjust down if the category has a tighter Amazon limit and say so) in the format: Brand + Product Type + Key Attribute + Quantity/Size, using each primary keyword exactly once and never repeating a keyword across the title and reserving the rest for bullets and backend terms. Do not include subjective claims ("best," "#1") or promotional language ("free shipping," "sale") — these violate Amazon style guidelines and are a common suppression trigger.
PHASE 2 — FIVE BULLET POINTS
Each bullet leads with a capitalized 2-4 word benefit tag, then one sentence of proof or mechanism. Distribute the primary keywords across bullets so no single bullet is keyword-dense — one natural keyword mention per bullet is enough. Reserve exactly one bullet for the key differentiator versus competitors, argued specifically, not just asserted.
PHASE 3 — BACKEND SEARCH TERMS
List backend search terms (under 249 bytes total) covering keyword variants, misspellings-a-buyer-might-search, and synonyms not already used in the title or bullets — never repeat a word already spent in the visible listing, since backend space is wasted on redundant terms.
WHAT NOT TO DO
Do not stack keywords as a bare comma list anywhere in the title or bullets — every keyword must sit inside a grammatically real sentence a shopper would read without noticing it was there for search.
OUTPUT FORMAT
Title / five bullets / backend terms, each in its own labeled section, followed by a one-line character/byte count check for each.Customize
Optional — swap in your own details for the highlighted parts above.
Why this works
Amazon's A9 ranking system and its separate style-compliance review are two different systems with different failure modes, and most AI-generated listings fail the second one even when they'd rank fine on the first — a title or bullet that reads as a comma-stacked keyword list gets caught by Amazon's automated style scanners regardless of relevance, which is why the instruction to keep every keyword inside a real sentence matters mechanically more than keyword density does. Splitting keyword distribution explicitly across the title, five separate bullets, and backend terms, with an instruction never to repeat a keyword already spent, addresses GPT-5.1's default behavior of front-loading every important term into the title because it reads as the highest-value real estate — which is exactly the pattern that gets a listing suppressed for stuffing, since backend search term space exists precisely so visible copy doesn't have to carry that burden. Requiring the differentiator bullet to argue the claim specifically rather than assert it addresses a separate, common weakness: GPT-5.1 will happily write "unmatched quality" as a bullet if not constrained, which is both a compliance risk (unsubstantiated superlative) and commercially useless against a shopper comparing two similar-looking ASINs. The explicit character/byte counting step at the end matters because Amazon enforces hard limits that vary by category and are easy for a model to miscalculate when generating text to a target length rather than measuring it after the fact.
What you get back
Title: Kettlebright Adjustable Dumbbell Set, Home Gym Dumbbells 5-25 lbs, Single-Dial Quick Change... Bullet 1: QUICK-CHANGE DIAL — Switch weights in under 3 seconds with one turn, no loose plates or pins to sort through mid-set...
Verified against
ChatGPT GPT-5.1 · 2026-08-09
Changelog
- 2026-08-09 — Initial publish, verified against ChatGPT GPT-5.1.
Need this built into your business?
If a prompt isn't enough — Google Ads management, built and maintained for you — that's Scult's day job.
EXPLORE GOOGLE ADS MANAGEMENT
