Amazon already tells you what is wrong with many of your listings. The problem is that most sellers never check.
Within Seller Central, Amazon surfaces listing quality recommendations for missing attributes, incomplete content, image gaps, and other issues that can put an ASIN at risk of search suppression, make it inactive, or confuse shoppers. Amazon confirms that complete, high-quality product information helps shoppers find, evaluate, and purchase products more easily.
In 2026, filling these gaps matters not just for general catalog upkeep, but also because missing product details can limit the information available to Amazon's search and AI shopping experiences.
Checkโwith your account-specific recommendations first using Amazonโs native listing quality tools. Then use AI and third-party tools for the things where you need to improve attributes, copy, images, or competitor benchmarking.
This guide explains where you can find Amazonโs listing quality recommendations, what the main issues mean, which tools can help, and how to audit 10 ASINs in about 15 minutes.
What Is Amazonโs Listing Quality Score?
Amazon Listing Quality Score (LQS) is a common seller and search term for the listing quality information Amazon provides inside Seller Central. In Amazonโs current Enhance Listings experience, the official measure is called the Listing Quality Indicator.
Amazon evaluates how complete and accurate a product detail page is using content quality and multimedia quality. Current listings can be classified as Poor, Fair, Good, Great, or Optimized, rather than being given a universal 0โ100 numerical score.
The tool directs sellers to attributes or contentโthat require attention. A full detail page is considered helpful because it allows customers to find, compare, evaluate, and buy products, according to Amazonโs official guidance on listing quality.
Where to Find the Amazon Listing Quality Dashboard
To review listing quality in Seller Central, the exact navigation may depend on the interface available in your account.
You may see:
- Inventory โ Improve Listing Quality
- Catalog โ Enhance Listings
- Inventory โ Manage All Inventory โ Optimize listings
- Enhance listing
- View enhancements
In Amazonโs current Enhance Listings workflow, sellers can open an ASIN, review opportunities in the side panel, enter their own values, modify an AI suggestion where available, or use an AI-generated suggestion after reviewing it.
The menu wording may change, but the goal remains the same: find incomplete or weak product information and correct it.
Amazonโs Dashboard vs. Third-Party LQS Scores
Amazonโs native listing quality tools and third-party Amazon listing quality checkers do not measure the same thing.
| Tool Type | Data Source | What It Shows | Can Audit Competitors? |
|---|---|---|---|
| Amazon native listing quality tools | Your Seller Central catalog | Account-specific attributes, content opportunities, multimedia quality, and listing issues | No |
| Third-party LQS tools | Usually public product detail page data plus a proprietary methodology | Scores or checklists for content, SEO, images, conversion elements, or other factors | Usually |
For example, Amazon ASIN Lookup separates its assessment into its own discoverability and desirability criteria. At the same time, Trellis uses a Buyability Score that reviews areas such as images, video, bullet points, A+ Content, reviews, and FAQs. These proprietary metrics can be useful for competitor analysis, but they are not interchangeable with Amazonโs native Listing Quality Indicator.
For broader context on traditional search signals, see our Amazon A9 algorithm guide.
The 6 Amazon Listing Quality Areas to Check and Why They Matter in 2026
In this guide, Amazon listing quality recommendations are grouped into 6 practical areas. The exact recommendations and affected fields can vary by product type, category, marketplace, and seller account.
| Listing Quality Area | What Amazon Checks | Why It Matters in 2026 | Amazon Fix | SalesDuo / Other Tool Support |
|---|---|---|---|---|
| Product Attributes | Product type, material, color, size, intended audience, use case, item form, compatibility, and other required or relevant attributes | Missing structured information can reduce the product context available for filters, search, product understanding, and contextual discovery | Add accurate values in Seller Central or review Amazonโs suggested attribute updates | SalesDuo AI Creative Studio can help identify useful product context from verified product inputs |
| Suppression or Compliance Risk | Missing required information, noncompliant content, images, category information, or other blocking issues | Suppressed listings can be hidden from search and browse results until the underlying issue is corrected | Fix the required field or compliance issue directly in Seller Central | Treat as a manual Amazon issue first; AI should not replace the required correction |
| Title Completeness | Product identity, useful product details, title quality, and policy compliance | A clear title helps shoppers and Amazon understand what the product is quickly | Review Amazonโs recommendations and update the title | SalesDuo AI Creative Studio and Helium 10 Listing Builder can help create title drafts |
| Bullet Point and Description Completeness | Missing or weak bullet points, descriptions, and key product information | Complete copy gives shoppers clearer information about features, benefits, compatibility, use cases, and limitations | Add accurate product information or review available AI suggestions | Listing tools can help draft structured content for human review |
| Image Issues | Image quality, completeness, main image compliance, and multimedia coverage | More useful images give shoppers more opportunities to understand the product, scale, materials, packaging, and use | Correct noncompliant or incomplete image assets | SalesDuo AI Creative Studio and image tools can help create review-ready secondary image concepts |
| Category Specific Fields | Attributes that vary by product type, such as material, capacity, wattage, fit, item form, or compatibility | Category attributes help shoppers narrow results and understand whether a product meets their needs. | Complete the relevant fields in Seller Central. | Amazon AI may suggest some attributes; unsupported fields should be completed manually |
The Amazon Listing Quality Indicator now considers content quality and multimedia quality, and Amazonโs general listing quality advice highlights images, descriptions, brands, materials, sizes, and other specific product details.
For deeper guidance on titles, bullet points, descriptions, keywords, and A+ Content, check out our Amazon listing optimization guide. For image planning, see our guide to Amazonโs 7 detail page image slots.
Which Listing Quality Issues Should You Fix First?
Not every recommendation carries the same business risk.
Amazon Listing Suppression Risk: Fix These Flags First. Amazon listing suspension risk is the highest priority because missing required information may remove an ASIN from regular search visibility. Addressโsuppressed and compliance-blocked listings before optional copy, image, or attribute enhancements.
| Priority | Issue Type | Business Impact |
|---|---|---|
| 1 โ Critical | Suppressed or compliance-blocked ASINs | The product may be hidden from search or unavailable for normal purchase |
| 2 โ High | Missing required product or category information | Catalog accuracy may be affected, and additional errors can appear |
| 3 โ Medium | Missing material, size, audience, fit, use case, compatibility, or other useful attributes | Product understanding, filtering, and discovery may be weaker |
| 4 โ Improvement | Thin copy, limited images, and optional enrichment opportunities | These can reduce shopper understanding and conversion confidence |
Amazon identifies incomplete or noncompliant information as a reason products may become search suppressed.
A strong Listing Quality Indicator is a useful catalog foundation, but it should not be treated as a guarantee of rankings, visibility, or sales. Amazon explicitly describes its current indicator as directional and notes that it does not account for dynamic factors such as offer price, fulfillment, or seasonality.
Why LQS Is Now a COSMO and Alexa for Shopping Readiness Diagnostic
Amazon originally built listing quality tools to help sellers provide clearer and more complete product information. That same goal has become more important as Amazon expands contextual and conversational shopping experiences.
Amazon Science describes COSMO as a large-scale ecommerce commonsense knowledge system designed to understand user intent and relationships between products and real-world contexts. Amazon reports that COSMO expanded to 18 major product categories and has been deployed in Amazon search applications such as search navigation.
COSMO research includes relationships such as used for function, used for event, and used for audience. That makes product context such as intended audience, use case, material, product type, and other accurate attributes increasingly useful when Amazon is trying to understand why a shopper might need a product.
Alexa for Shopping adds another reason listings are easier to understand. Amazon introduced the Alexa for Shopping name in May 2026 by combining Rufus and Alexa+. Shoppers can ask detailed questions, compare products, research purchases, and search based on activities, events, purposes, and other needs. Amazon says the shopping assistant uses product catalog information, customer reviews, community Q&A, information from across the web, and other shopping context.
The connection should not be overstated. Amazon does not state that its Listing Quality Indicator is a COSMO score, nor does Amazon publish a direct formula connecting a specific listing quality recommendation to Alexa for Shopping visibility.
The practical point is simpler: many of the fields Amazon requires sellers to fill in also provide useful structured product context. A listingโwith no quality issues is not guaranteed to have stronger visibility in the AI; however, a listing with incomplete information gives Amazon less complete product information to analyze.
For an in-depth explanation of these systems, read our Amazon COSMO algorithm guide and Alexa for Shopping optimization guide.
What LQS Can and Cannot Tell You About AI Discovery.
Listing quality recommendations can reveal missing product context. They cannot tell you:
- Whether an ASIN will appear in a particular AI-generated response
- Whether Alexa for Shopping will recommend the product
- Exactly how COSMO interprets every listing field
- Whether completing one attribute will improve rankings
- Whether a product detail page will convert well
Think of the dashboard as a readiness indicator,โnot a visibility guarantee.
A complete catalog provides Amazon with more comprehensive details aboutโthe products. Even so, it does not replace comprehensive keyword research, great content, good images, competitive offers, reviews and ratings, or stock, availability, and sales history.
Amazon Enhance My Listing: How the Native AI Tool Works
Amazon'sโEnhance My Listing reviews current listings and provides suggestions for product titles, attributes, descriptions, and more. Sellers can review, modify, accept, or reject individual suggestions rather than having them โauto-published.
Amazon reports that more than 900,000 selling partners have used its broader generative AI listing tools and that sellers accept generated content with little or no editing approximately 90% of the time. Amazon also reports a 40% increase in overall listing quality among sellers using its generative AI listing creation tools. These figures apply to Amazonโs broader suite of GenAI listing tools, not Enhance My Listing alone.
Enhance My Listing is powered by Amazon Bedrock. Amazon says its models use insights from current customer activity and engagement to generate timely recommendations for titles, attributes, descriptions, and missing product details.
It is a significant advantage for native listings, allowing quick recommendations, especially when a listing only requires simple informationโupdates. But for now, Amazon isnโt calling Enhance My Listing the better COSMO scoring tool or the next-generation Rufus/Alexa AEO workflow tool.
How to Review AI Suggestions Before Accepting Them
Donโt take the word of a recommendation just because it was produced by Amazon or another AI tool. Amazon sellers should check that AI-generated content is accurate and compliant before publishing.
Check these 7 areas:
- Product details: Verifyโthe materials, dimensions, ingredients, amounts, compatibility, and packaging.
- Claims: Deleteโany unsubstantiated claims about health, environment, performance, safety, or superiority.
- Variationโcorrectness: Confirm this information is correct for the size, color, style, flavor, or pack size.
- Units and outputโformat: Verify the units of measurement, capitalization, abbreviations, and category default.
- Requiredโfields: Ensure that it is valid for each value to live in the attribute you are editing.
- Brand voice: Enhance readability without accepting bland, recycled, or out-of-brand AI writing.
- Policy adherence: Validate against applicable Amazon and category policies before submitting the edit.
AI can shorten the drafting process. Thelisting's final accuracy still requires seller review.
6 Amazon Listing Quality Score Tools Compared
The right Amazon Listing Quality Score tool depends on the problem you need to solve.
An external Amazon listing quality checker can rate a public ASIN, but it cannot read private Seller Central warnings or substitute for Amazonโs own dashboard. The native tool is theโbest tool to identify problems with your own catalog. Public ASIN checkers are better for analyzing the competition. Listing buildersโare necessary when an issue calls for new copy or creative assets.
| Tool | Type / Pricing | Listing Quality Function | AI Discovery Support | Best for |
|---|---|---|---|---|
| Amazon Enhance Listings / Listing Quality | Amazon native | Identifies account-specific opportunities and affected attributes | Indirect; Amazon does not position it as a COSMO or Alexa score | Diagnosing issues in your own catalog |
| Amazon Enhance My Listing | Amazon native AI | Suggests updates to titles, attributes, descriptions, and other product details | Indirect through stronger product information | Fast native listing recommendations |
| SalesDuo AI Creative Studio | Third-party AI; free trial and paid options | Generates listing copy, detail page creative, A+ assets, SEO, and AEO content | Built around COSMO and Alexa for Shopping-oriented workflows | Brands that need connected copy and creative production |
| Helium 10 Listing Builder | Third-party subscription | Combines keyword research, AI listing generation, and listing optimization workflows | Includes Rufus insights in its current AI workflow | Sellers already using the Helium 10 ecosystem |
| Amazon ASIN Lookup Checker | Third-party free tool | Uses its own discoverability and desirability criteria for public ASINs | Not positioned as a COSMO/Alexa score | Quick competitor and public ASIN audits |
| Trellis Listing Analyzer | Third-party analyzer | Uses a Buyability Score covering images, video, bullets, A+ Content, reviews, and FAQs | Not positioned as a COSMO/Alexa score | Conversion-focused listing reviews |
Helium 10โs modern Listing Builder seamlessly integratesโkeyword research, AI generation, image analysis, and Rufus insights. Amazon ASIN Lookup uses its own terminology for discoverability and desirability; Trellis ranks listings by the Buyability Score. Because these approaches differ, each score is a tool-specific indicator rather than an equivalent number.
For a closer look at SalesDuoโs workflow, see the SalesDuo AI Creative Studio guide. For a broader side-by-side view of available platforms, see our guide to the best AI tools for Amazon sellers.
Start with Amazonโs native recommendations to identify the problem. Then add a third-party tool when you need something the native view does not provide, such as competitor benchmarking, deeper keyword research, or new copy and creative assets.
How to Improve Amazon Listing Quality Score: A 15-Minute Audit
Don't start by trying to clean up every ASIN in your catalog. Start with 10 products where fixing an issue could matter most:
- Suppressed or inactive listings
- Highest-revenue ASINs
- Highest-traffic ASINs
- New product launches
- Listings that get traffic but convert below the catalog average
Keep your listing quality view open during the audit. Depending on your account interface, use Inventory โ Improve Listing Quality, Catalog โ Enhance Listings, or Inventory โ Manage All Inventory โ Optimize listings. Amazonโs current documentation supports the Enhance Listings and Optimize listings workflows.
Then work through these steps:
- Fix critical issues first. Identify suppressed, inactive, incomplete, or compliance-affected ASINs and resolve anything that can prevent normal discovery or purchase.
- Review required attributes. Check product type, brand, material, size, color, audience, use case, item form, compatibility, and relevant category fields.
- Check customer-facing content. Review the title, bullet points, description, images, and A+ Contentโseparate missing-information problems from broader conversion improvements.
- Review Amazonโs AI suggestions. Where Enhance My Listing recommendations are available, accept only changes that are accurate, relevant, and compliant.
- Create missing content. Identify ASINs that require new titles, bullet points, descriptions, images, or A+ assets instead of a simple attribute correction.
- Track every change. Record the ASIN, issue, original value, new value, owner, submission date, status, and verification date.
- Verify the result. Confirm that Amazon accepted the contribution and check the live detail page before closing the task.
If you are preparing a new product launch, complete this listing quality check before sending significant traffic to the ASIN. Our Amazon product launch guide covers the broader launch workflow.
For Larger Catalogs: Improve Listing Quality in Bulk
For larger catalogs, Amazon provides a bulk workflow for missing attributes.
Go to:
Manage All Inventory โ Optimize listings โ Improve Listing Quality in bulk
Select Generate report to download the ASINs with missing relevant attributes. Enter the correct values, save the file, and upload it. After submission, use Review upload status to see the batch ID, status, and processing report. If Amazon reports an error, correct the affected rows and upload the file again.
A simple internal tracker can include:
Marketplace | ASIN | Issue | Priority | Old Value | New Value | Owner | Upload Date | Batch ID | Status | Verified Date
Make Listing Quality a Repeatable Catalog Workflow
The Amazon listing quality tools are most effective when used as part of an ongoingโeffort to review the catalog, rather than as a one-time cleanup. Start with your suppressed and compliance-blocked ASINs, fill out the mandatory product details, then add missing attributes, titles, bullet points, descriptions, and images that make your product difficult to understand.
Once you address the low-hanging fruit, return to yourโcatalog regularly to see if there are new opportunities to improve. Amazon warnsโthat listing quality guidelines are subject to change, so an ASIN that appears complete today might receive further recommendations tomorrow.
For broader organic growth, keyword optimization, and listing performance, explore SalesDuoโs Amazon SEO service.
Book a 1:1 growth call with SalesDuo to learn more.
Frequently Asked Questions About Amazon Listing Quality Score
1. What is the Amazon Listing Quality Score?
Amazon Listing Quality Score is a common seller term for Amazonโs listing quality evaluation in Seller Central. Amazonโs current Enhance Listings experience uses a Listing Quality Indicator that evaluates content and multimedia quality and classifies listings from Poor through Optimized. It is not the same as proprietary scores from third-party tools.
2. Where do I find the Listing Quality Dashboard in Seller Central?
Depending on your Seller Central interface, listing quality opportunities may appear under Inventory โ Improve Listing Quality, Catalog โ Enhance Listings, or Inventory โ Manage All Inventory โ Optimize listings. Amazonโs current U.S. documentation uses the Enhance Listings and Optimize listings workflows.
3. What happens if my Amazon listing quality is low?
Effect depends on the issue. Inaccurate or missing required information can put the ASIN at risk of search hiding or listing deactivation. Optional attribute, copy, or image gaps that are not critical may reduce shopper understanding and discoverability, but will not suspend the ASIN. Address suppression and required information first, then move on to optional enhancements.
4. Does Amazon Enhance My Listing fix listing quality issues?
Yes, in some cases. Amazonโs Enhance My Listing can recommend updates to titles, attributes, descriptions, and other product details. Sellers can review, customize, accept, or decline each suggestion. The tool can speed up listing improvements, but sellers should still check every recommendation for product accuracy, policy compliance, and relevance to the correct variation before publishing.
About the Author
Meet Srushti P. Borle, an SEO Content Writer Intern at SalesDuo who enjoys turning complex ideas into clear, easy-to-read content. She focuses on creating smooth, engaging content that readers can understand and enjoy. Outside of work, she loves reading, exploring new ideas, and finding simple ways to present detailed topics
