Listing Quality
Score every listing in your catalog against 37 title and bullet checks, fix the weak fields by hand or with AI, and push the approved changes back to your live Amazon listing - all from one workspace.
Difficulty: 🟡 Intermediate · Reading time: ~12 min
Availability: Listing Quality is part of the Listing Manager AI suite, which rolls out per account. While yours is pending you'll see an amber hourglass next to it in the Listing-Manager menu and a "you're on the list" note when you open it - at no charge until you decide to keep it. It needs a connected Amazon account. See Listing Optimizer.
📋 Overview
Listing Quality is the main workspace of the Listing Manager AI suite. It scores every product in your catalog, tells you exactly which parts of each listing are weak and why, lets you fix them by hand or with AI, and pushes the approved changes back to your live Amazon listing through the Amazon API - no copy-pasting into Seller Central.
Where the classic Listing Optimizer analyzer audits one ASIN at a time and leaves the editing to you, Listing Quality is built to work across your whole catalog and to close the loop: analyze, edit, push, verify.
Every listing carries an LQI Score (Listing Quality Index) from 0 to 100. The LQI is simply the share of checks the listing passes - the backend counts how many checks passed out of the total and expresses it as a percentage. If a listing passes 30 of 37 checks, its LQI is roughly 81. Because the score is a plain pass rate, each check you fix moves the number by a predictable amount, and the failing checks tell you precisely where the points are.
Tiers
Each LQI Score maps to a tier, shown as a colored badge in the table and detail panel:
80-100
Excellent
🟢 Green
60-79
Good
🟢 Green
40-59
Average
🟠 Amber
0-39
Poor
🔴 Red
Severity labels
Each individual check is labeled by how much it matters, so you can triage the failing ones highest-impact-first:
Critical
A policy or truncation problem that can suppress the listing or hide your keywords - fix these first
Moderate
Hurts readability, ranking, or conversion but will not get you suppressed
Minor
Cosmetic or style polish
Pass
The check succeeds - nothing to do
Sub-scores
Alongside the overall LQI, two sub-scores split the listing into its two most-edited halves so you can see at a glance which one is dragging you down:
Title Compliance Score - how well the title follows Amazon's title rules (the 25 title checks below).
Bullet Quality Score - how well the bullet points are written and formatted (the 12 bullet checks below).
✅ The 37 Quality Checks
The LQI is built from 37 checks: 25 on the title and 12 on the bullet points. On top of those, Listing Quality also reads several catalog signals - images, description, A+ Content, video, review count, and rating - which appear as their own columns and contribute to the picture even though the core check count is the title-plus-bullet set.
Each failing check in the detail panel shows a plain-language reason ("Why this matters") and how many quality points you recover by fixing it.
Title checks (25)
Character Length
Title in the 80-150 range; over-long titles get truncated or suppressed
Desktop Truncation
Rendered pixel width fits desktop search - the title starts getting cut off on desktop at around 1100px, with a warning from about 900px
Mobile Truncation
Rendered pixel width fits mobile search, where most Amazon traffic is - the title is cut off past about 580px
Keyword Density
Enough descriptive keywords (top titles use 6-10)
All-Caps
No all-caps words (a common suppression trigger)
Promotional Language
No "sale", "best seller", "free shipping" and similar prohibited claims
Amazon Trademark
No other brand names that risk an IP complaint
Regulatory Phrases
No restricted or claim-like wording
URLs / Email / Phone
No contact details, which are a policy violation in a title
Price / Currency
No price - it changes and Amazon prohibits it
Internal Codes
No ASIN, SKU or UPC codes leaking into the title
Forbidden Characters
None of the characters Amazon rejects in titles
Emojis & Symbols
No emoji or symbols (stripped or rejected by Amazon)
HTML Tags / Entities
No stray HTML code
Number Formatting
Numerals rather than spelled-out numbers
Punctuation
No ellipses, semicolons or unmatched brackets
Extra Whitespace
No double spaces
Leading / Trailing
No leading/trailing whitespace or punctuation
Title Case
Consistent, professional title case
Brand & Structure
Leads with the brand and separates attributes clearly
Consecutive Duplicates
No repeated adjacent words
Keyword Repetition
No keyword repeated (Amazon indexes it once)
Condition Terms
No condition words that belong in the condition field
Placeholder Text
No leftover placeholder text
Typo Detection
No obvious misspellings
Bullet checks (12)
At least 5 bullet points
Listings with 5 bullets convert better
Each bullet ≥ 150 chars
Very short bullets waste the highest-attention block on the page
Each bullet ≤ 250 chars
Over-long bullets collapse behind "read more"
Total chars ≤ 1000
Past ~1000 characters Amazon stops indexing the rest
Start with uppercase
Bullets that start lowercase read as unfinished
No emojis in bullets
Amazon strips or rejects emoji
No forbidden characters
Certain characters can block the bullet update entirely
Opens with a benefit
Lead with the benefit, not the feature name
States a measurable spec
Give a concrete, measurable detail
Answers fit or what is included
Address compatibility or contents
Names who it is for
Say who the product is for
Does not repeat itself
No repetition across bullets
Why the checks are worded around Amazon's own rules. These are not generic writing tips - each check maps to a behavior that Amazon rewards or penalizes (indexing, truncation, suppression, IP). Clearing the Critical ones protects the listing from being hidden; clearing the rest lifts ranking and conversion.
📊 The Workspace
Open Listing Quality from the Listing Manager tab on the Listing Optimizer page. Scores are gathered automatically by a background worker, so the table is already populated when you arrive; you can also trigger a manual scan for any individual product.
Stat cards
Four cards across the top summarize the catalog:
Total Products
Number of listings with quality data
Avg. LQI Score
Average LQI across those listings
Needs Attention
Listings below the "Good" threshold
Critical
Listings with critical-severity issues
The Product Listings table
The main table lists every scored product. Click any column header to sort, and click any row to open its detail panel.
ASIN
Amazon Standard Identification Number
SKU
Your Stock Keeping Unit
Marketplace
The Amazon marketplace the listing belongs to
Title
The current live title (with product thumbnail)
LQI Score
The 0-100 quality index, as a colored badge
Bullets
Bullet coverage (also the Bullet Quality Score on hover)
Images
Image count (HD count available in the detail)
A+
Whether the listing has A+ Content
Video
Whether the listing has a video
Reviews
Review count
Rating
Average star rating
Last Scan
When the listing was last scored
Tier
Excellent / Good / Average / Poor badge
Use the Export CSV option to download the visible table (respecting your current filters) for sharing with a copywriter or your team. Adjust the filters first - exporting with nothing in view returns nothing.
Filters and search
Above the table:
Marketplace filter - All Marketplaces, or a single marketplace.
Score filter - All Scores, or one tier: Excellent (80-100), Good (60-79), Average (40-59), Poor (0-39).
Search box - filter by ASIN, SKU, or title.
Scan Product - pull fresh listing data from Amazon and re-score a product on demand.
🔍 The Detail Panel
Click a product row to slide open its detail panel. A hero header shows the product image, title, ASIN, SKU, and current LQI Score, and the body is organized into four tabs.
The Quality tab is the heart of the tool. It lists every check for this listing, sorted by severity, each with:
a pass or fail status,
a short "Why this matters" explanation,
the points you would recover by fixing it,
a rough effort estimate.
Below the checks sit the editable fields - Title, Bullet Points, Description, Backend Search Terms, Images, and A+ Content - each with a Fix in editor button and an AI Optimize button.
The Keywords tab tracks the search terms this listing targets and shows, per keyword, whether it appears in the Title (T), Bullets (B), and Description (D). Add keywords manually or click Extract to auto-pull them from the listing content. Fields managed by A+ Content are marked as locked (not editable here).
The History tab has two parts: a Score Trend chart of the LQI over time, and a Change Log listing every field you have changed, when, and from what. The Change Log is also the source for reverting a change (see the safety model below).
The AI Studio tab is the AI content and image workspace for this listing. It offers one-click optimization across fields and the AI Image Studio, which can generate product photos from 14 presets (White BG, Lifestyle, Home, Outdoor, Infographic, Scale, Close-Up, Multi-Angle, Packaging, Before/After, Gradient, Luxury Dark, Seasonal, Flat Lay) or clean up a reference photo you upload. The studio also takes background, mood, and camera-angle inputs (for example a Macro angle), and enforces a safety rule on every image - no people or faces, and no text, badges, or claims burned into the image.
Translate a listing
Beyond the per-field "Translate" mode, the detail panel has a dedicated Translate listing button that opens a modal to localize a whole listing at once. Choose a Target language (11 languages, including Dutch, Japanese, and Turkish), pick a Target marketplace (which sets the target language and the byte limits), and tick the Fields to translate - Title, Bullet Points, and Description are all on by default. Click Start AI translation and each field translates with its own progress indicator. This is a distinct multi-field, multi-marketplace flow, more than the single-field Translate mode. As with every other action here, nothing is sent to Amazon until you push the result.
The editors
Each field opens its own editor:
Title
Free-text; re-checked against the 25 title rules as you edit
Bullet Points
One bullet per line; the 12 bullet checks apply
Description
Free-text; locked and read-only when the listing is managed by A+ Content
Backend Search Terms
Hidden search keywords, capped at 250 bytes. Not shown to buyers - no commas needed, do not repeat words already in the title or bullets, and skip competitor brands. A live byte counter warns you as you approach the limit
Images
Upload, paste a URL, or generate with the AI Image Studio, per slot
A+ Content
Fetch from Amazon, add or edit modules, or assign an existing template
🛠️ How to Use It, Step by Step
Scan a product
Pick a marketplace and search your catalog, or click Scan Product to pull fresh data from Amazon. The scan fetches the listing, checks the images, and computes the score, ending on a "Scan complete - LQI Score: N" confirmation. (Background scores refresh periodically on their own, so you only need to scan manually when you want the very latest.)
Fix - by hand or with AI
For any weak field, either click Fix in editor to edit it yourself, or click AI Optimize / Generate with AI to have SellerMagnet rewrite it. AI output always lands in a draft editor first - it is a suggestion you review and edit, never an instant change. The AI follows Amazon's style rules by construction (Title Case, character limits, no promotional language, no emojis or forbidden characters), and the result is re-checked against the 37 checks.
The "Update listing on Amazon" dialog
When you push, the Update listing on Amazon dialog asks you to choose which elements you would like to update. You tick only the fields you want to send - you never have to push everything at once. Depending on the field, the confirm button reads Save to Amazon or Save & Submit for Approval (A+ Content goes through Amazon's approval flow). The Submit All Changes to Amazon button in the Listing Builder pushes every pending field in one go.
🔒 The Push Safety Model
Listing Quality can change your live listings, so it is built to make every step explicit and reversible. Here is exactly what happens - stated honestly:
AI output is a draft first. Anything the AI writes lands in the draft editor. It is not sent anywhere until you open the push dialog and choose to send it.
Every button tells you its consequence. Actions are badged with one of two labels so you always know where a click lands:
BadgeMeaningApplies to the draft - not sent to Amazon
Local only - safe to experiment
Publishes to your live Amazon listing
This one goes to Amazon when you confirm
Amazon queues the submission - it is not instant-live. A successful push means Amazon accepted the submission into its queue ("Changes submitted to Amazon and queued for processing"). The listing updates only after Amazon finishes validating it, and Amazon can still reject a change during that validation. If it does, SellerMagnet surfaces Amazon's own error or warning wording rather than a generic message.
Every submission is logged and trackable. Each push writes a Change Log entry (with the real previous value), and hands back Amazon's submission ID so its status can be tracked.
Changes can be reverted. Because the Change Log stores the value each field held before the change, you can Revert a field to restore the live listing to its earlier content. A drift guard protects this: if the listing has changed on Amazon since your edit (by Amazon, another contributor, or an auto-published experiment), the revert refuses and shows you both versions so you can decide, rather than silently overwriting newer content.
A text-policy pre-flight blocks known-bad content. Before a submission is sent, a content check scans the text for wording Amazon is known to reject. If it finds a blocker, the push is stopped up front - saving you a round trip and an Amazon error code to decode.
Draft versus live - the buttons tell you which. Nothing reaches Amazon until you explicitly open the push dialog, tick the elements, and confirm. Treat a push like submitting an edit in Seller Central, not an instant edit.
⚙️ Configuration
Most configuration lives inside the detail panel and the AI popovers.
Per-field AI options
When you optimize a field with AI, you can steer the result:
Mode
Create (from scratch), Optimize (improve existing), Competitor (outrank a rival title), or Translate
Tone
Professional, Premium-Luxury, Conversational, or Technical
Target Audience
Optional - who the copy should speak to
Keyword Emphasis
How hard the AI leans on your target keywords
Length
How long the generated copy should run
Target Keywords
Keywords the AI should work in
Negative Keywords
Words the AI must avoid
Custom Instructions
Free-text guidance (tone, angle, audience)
Backend Search Terms
Managed in its own editor, capped at 250 bytes
Fields to optimize
For one-click optimization, tick which fields the AI should rewrite
Marketplace
Sets the language and byte limits used for the listing
AI Settings
Open AI Settings to control the AI itself:
Text AI Model and Image AI Model - the specific model to use.
Token Usage - a meter showing your remaining monthly allowance.
AI is included - no API key needed. The AI runs on SellerMagnet's own models; you do not bring or pay for your own OpenAI or Gemini key. Generations draw from a monthly credit allowance included with your plan (shared with the Bulk Sourcer) and reset every billing cycle. AI Settings shows how many credits you have left.
⚠️ Caveats and Good to Know
Per-account rollout. The Listing Manager AI suite, including Listing Quality, rolls out per account. While yours is pending you'll see an amber hourglass next to it in the Listing-Manager menu and a "you're on the list" note when you open it - at no charge until you decide to keep it.
Requires a connected Amazon account. Scanning, pushing, and reverting all go through the Amazon API (SP-API), so a live Amazon connection is required.
Scores refresh periodically. A background worker keeps LQI scores up to date on its own; manual Scan Product is for when you want the very latest number immediately.
Amazon has the final say. A push is a submission, not a guarantee - Amazon validates asynchronously and can reject.
A+ / description locking. When a listing's description is managed by A+ Content, the description editor is read-only; edit the content through the A+ Content tab instead.
✅ Best Practices
Work highest-impact-first. Sort the table by LQI ascending, open your worst-scoring high-revenue listings, and clear the Critical checks before anything cosmetic.
Fix policy checks before conversion checks. A suppressed listing earns nothing - clear all-caps, promotional language, trademarks, and forbidden characters first.
Treat AI output as a strong first draft. Always read it in the draft editor before you push it live.
Push selectively. Send one field, confirm Amazon accepted it and the LQI moved, then send the next - rather than pushing everything blind.
Use the sub-scores to target effort. A low Title Compliance Score but a healthy Bullet Quality Score tells you exactly where the work is.
Re-scan after pushing. Confirm the change landed and the score climbed before moving on.
Keep the Change Log clean. If a push looks wrong once live, revert rather than layering another edit on top.
❓ FAQ
How is the LQI Score calculated?
It is the share of quality checks the listing passes, expressed as a 0-100 percentage. Pass 30 of 37 checks and the LQI is about 81. Because it is a plain pass rate, each check you fix moves the score by a predictable amount.
What is the difference between LQI and the Title Compliance / Bullet Quality scores?
The LQI is the overall score across all checks. The Title Compliance Score covers only the 25 title checks, and the Bullet Quality Score covers only the 12 bullet checks - two sub-scores that tell you which half of the listing needs the work.
Do my changes go live on Amazon immediately?
No. When you push, Amazon accepts the change into its queue and applies it after validating - and it can still reject a change during that step. SellerMagnet logs every submission, lets you track its status, and lets you revert.
Can I undo a change I pushed?
Yes. The Change Log stores the value each field held before your edit, so Revert restores the live listing to its earlier content. If the listing changed on Amazon since your edit, a drift guard stops the revert and shows you both versions so you can decide.
Does the AI need my own OpenAI or Gemini key, and does it cost extra?
No key needed - the AI runs on SellerMagnet's own models and is included in your plan. Usage draws from a monthly credit allowance (shared with the Bulk Sourcer). Pick the text model and image model, and see your remaining credits on the Token Usage meter, in AI Settings.
Why is my description editor read-only?
Because that listing's description is managed by A+ Content. Edit it through the A+ Content tab rather than the plain description editor.
What is the 250-byte limit on backend search terms?
Amazon caps hidden backend search terms at 250 bytes. The editor shows a live byte counter and warns you as you approach it - Amazon will truncate or reject anything over the limit. Do not repeat words already in your title or bullets, skip commas, and avoid competitor brands.
Why did Amazon reject my push?
Amazon validates submissions asynchronously and can reject on content or attribute rules. When it does, SellerMagnet shows Amazon's own error or warning wording. A built-in text-policy pre-flight also blocks known-bad content before it is ever sent, to catch the common cases early.
➡️ What's Next?
Listing AgentKeyword ResearchListing OptimizerLast updated