ListingGood
AI Recommendation Engine
Amazon is now an AI shopping assistant

Get recommended by Amazon's AI.

ListingGood uses AI to write your Amazon titles, bullets, search terms and A+, with built-in compliance scanning to avoid suspensions and takedowns.

免费 · 注册送 10 星
Covering 16 Amazon marketplaces
USUKCA AUDEFR ESITNL JPAESA MXBRSG IN
Built by a 15-year Amazon team · Dede Group
AI Recommendation Readiness
86 / 100
AI recommendation readiness

Well-structured listing — Amazon's AI surfaces it first.

recall cases in library
free scans today
16Amazon marketplaces
10★free on signup
Amazon is now an AI-powered shopping engine

Rufus + COSMO are rewriting how products get found

Amazon now answers shopper questions with AI, not just keyword search. If your listing isn't structured for that, it won't show up.

1

Rufus conversational search

Shoppers ask in plain language

2

COSMO knowledge graph

Understands context, attributes & relationships

3

AI recommendation result

Structured products get picked first

ListingGood structures your product so both systems can read and recommend it.
Core strength 01

AI-Readable Structure

Type in Chinese, get native-sounding copy for all 16 marketplaces — locals would write it this way.

  • Title / bullets / terms: arranged for COSMO's attribute graph
  • Category attributes: material, function, use case, brand story
  • A+ and image semantics: copy and visuals reinforce each other
Skip nine translation outsourcings — launch globally the same day
Structured product data
Title
5 Bullets
Search Terms
A+ Content
Category
Attributes
Brand Story
Images
Reviews
Key fields
0 / 9
Core strength 02

Takedown Shield

A compliance check runs automatically as listings are generated, catching risks before they go live.

  • 18+ rule dimensions: superlatives, price promises, off-Amazon redirects, medical claims
  • Category-aware: cosmetics, food, electronics — each category checked for its own pitfalls
  • Score + fixes: 0–100 score with rewrite suggestions
Catch risk before upload — not after Amazon takes you down
Compliance score dashboard
0 SAFE
SuperlativesPrice promisesOff-Amazon links Medical claimsCosmetic ingredientsFood claims AGEC regulationElectronics safety+10 more
Core strength 03

AI 可读就绪度

Suspended, warned, or hit with a bad review? Paste the notice and get a marketplace-specific POA and review-response plan.

  • Readable structure: can Rufus & COSMO parse title, bullets, and attributes?
  • Compliance health: clear of takedown red lines?
  • Category competitiveness: how do you stack up against top listings?
A takedown is scary — a wrong appeal is worse
AI 可读就绪度构成
0
AI-readable
structure / attrs
+
0
Compliant
no red lines
+
0
Competitive
vs. top listings
Try your category:
AI Score 0/100

More to smooth your flow

Beyond compliance, research and localization — one workspace covers archival, re-runs and transparent billing.

04

Workspace · one-click re-run

05

Transparent star billing

06

Multimodal input

07

Competitor research

ListingGood · Knowledge Base

Others' AI leans on generic LLMs. Ours leans on 15 years of real private know-how.

Most Amazon AI tools are just 'generic LLM + scraped word lists'. When ListingGood writes, scans or appeals, it first calls our proprietary knowledge base — a moat no generic AI can copy and no competitor can buy.

15+
Years of Amazon expertise (established brands since 2016)
16
Amazon marketplaces (US/UK/CA/AU/DE/FR/ES/IT/NL/JP/AE/SA/MX/BR/SG/IN)
4
Structured libraries (compliance / listing / appeal / prompt)
88
Structured knowledge entries (growing as we go)
Numbers grow with T1 digitization and user contributions (T3) — we'd rather let it grow honestly than inflate it.

Compliance Rules

Compliance Rules
Core moat

Listing Pro

Listing Pro
Copy engine

Appeal & Reviews

Appeal & Reviews
Recovery asset

Case Library

Case Library
Dispatch core
T115 years of front-line Amazon practice (all marketplaces)
T2EU regulations / Amazon platform policies (authoritative sources)
T3Real cases continuously curated & reviewed (user-validated)

Why is it a moat? Generic LLMs only saw public web scraps; our AI calls T1 first — real takedown emails, winning listings, POAs, all validated on live accounts.

Layering turns 'auto-accumulation' into compound interest: more users → sharper base → better product.

What generic AI can't do
Words like 'antibacterial', 'organic', 'carbon-neutral' — a generic model will happily write them. Our knowledge base blocks them before launch and shows the real EU enforcement penalties. Same copy: the red lines GPT misses, our 15 years of experience catch.
ListingGood Knowledge Base live · 19+ marketplaces · 88 structured entries · search without login

Search Knowledge Base →

Ready for AI to recommend your product?

Sign up free to get 10 stars and run a compliance risk scan.

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Detect risk → Fix listing → Protect account: 3 steps to get recommended by Amazon's AI

Product info

Enter your product details; fields marked * are required.

AI one-sentence fill

Describe your product in one sentence; AI auto-fills the form (free, no stars used).

Picking a category auto-applies its writing framework & compliance hooks

For competitor research & Listing generation only — not your final price

Click or drag images here to upload

JPG / PNG / WEBP, up to 5 images, ≤ 5MB each. AI uses them to write better listings.

Cost: 0 stars (1 per marketplace checked)
Preparing…

Result

No listings yet

Fill in the product info on the left and click “Generate listing”. It takes about 5–10 minutes (research + 16-marketplace localization + compliance scan).