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If you want a machine to tell you what is wrong with a listing you already have live, four tools do the job today: Amazon’s own Listing Quality Dashboard (free, and the only one that sees your compliance data), Trellis’s Listing Quality Checker (free, ASIN in, score out), SellerApp’s Listing Quality Check (free, ASIN or URL), and Helium 10’s Listing Analyzer or ZonGuru’s Listing Optimizer if you want keyword-level diagnosis on a paid plan. All of them score the same visible surface. None of them can tell you whether your listing is actually indexed for the keywords it contains — which is the failure that costs the most money.
This guide is about diagnosis, not writing. If you want the framework for rebuilding a listing once you know what is broken, that is our conversion-first listing guide. If you want tools that write copy from scratch, see free AI listing generators compared.
What a Listing Analyzer Actually Checks — and What It Cannot
Every analyzer on this page works the same way: it scrapes the public product page for an ASIN and grades what it can see. That gives it access to your title, bullets, description, A+ content presence, image count, video presence, price, review count and star rating, and sometimes your organic rank for a set of keywords.
That is a real and useful set of inputs. It is also a hard ceiling. A public-page scraper cannot see your backend search terms, your session and conversion data, your inventory or Buy Box state, your case log, or any of the attribute-level compliance flags Amazon holds against your ASIN. So an analyzer can tell you your title is 68 characters and your hero image is not on pure white. It cannot tell you that your listing is suppressed from search because a required attribute is missing.
That split is why the sensible workflow is two-tool, not one-tool: use Amazon’s own dashboard for the data only Amazon has, and use a third-party analyzer for the competitive comparison Amazon will never give you. Anything that promises both from one login is overselling.
Start With the Free Baseline: Amazon’s Own Listing Quality Dashboard
Before paying anyone, open the tool you already own. Amazon’s Listing Quality Dashboard sits in Seller Central under Inventory → Manage all inventory → Listing Quality Dashboard, and surfaces per-ASIN recommendations — missing attributes, image issues, content gaps — that you can filter by recommendation type and prioritise by sales, units available to sell, and page views over the last 30 days. Which attributes count as “relevant” is defined per product type: sell a monitor and it will ask you for display size specifically.
Two honest caveats about this section. First, Amazon’s help article for the dashboard (reference GE2GNWMVK8URG8XT) renders only with JavaScript and returns an empty shell to automated fetching, so the description above is a paraphrase of Amazon’s own page rather than a verbatim quote (checked 2026-08-06). Second, this site runs no Seller Central account, so there are no dashboard screenshots here and no claim about what your specific category shows.
The reason to start here is not thoroughness, it is authority. When Amazon’s own dashboard flags an attribute and a third-party analyzer gives you a 92/100, Amazon is right and the analyzer is scoring the wrong surface.
The Analyzers Compared (all figures checked 2026-08-06)
| Tool | What it inputs | What it scores | Free access | Entry price |
|---|---|---|---|---|
| Amazon Listing Quality Dashboard | Your own catalogue, inside Seller Central | Per-ASIN recommendations incl. missing attributes | Yes — included with your selling account | $0 |
| Trellis Listing Quality Checker | One ASIN | Searchability Score + Buyability Score | Yes — labelled “FREE TOOL” | $0 |
| SellerApp Listing Quality Check | ASIN or Amazon product URL | Listing analysis, best-practice suggestions, competitor comparison | Yes — page calls it “this FREE listing analysis” | $0 |
| Helium 10 Listing Analyzer | Up to 10 ASINs at once | Title, description, images, review count, organic rank, 30-day search volume | Free account signup on the tool page | Platinum $129/mo monthly, or $99/mo billed yearly |
| ZonGuru Listing Optimizer | Your listing + keyword list | Optimization Score and Listing Strength Score vs up to 8 competing ASINs | 7-day free trial only | Researcher $49/mo monthly, or $29/mo billed annually |
| Jungle Scout Listing Builder | Your listing, synced from Seller Central | Listing Optimization Score across title, description, key features, keywords, images | 7-day money-back guarantee, no free tier | Starter $49/mo monthly, or $29/mo billed annually ($348/year) |
Note on the three paid rows: Helium 10, ZonGuru and Jungle Scout all publish monthly and annual prices side by side, and the numbers differ substantially. The table above lists both — do not read $99 or $29 as month-to-month prices, they are the annual-billing equivalents. Jungle Scout’s month-to-month figure comes from the structured pricing data published on its own pricing page (checked 2026-08-06): Starter is $49/mo month-to-month, or $348 for a year, which is the $29/mo annual equivalent.
The Free Analyzers: How Far They Get You
Trellis’s Listing Quality Checker is the cleanest free option because it is explicit about its scoring model rather than hiding it behind a single number. It splits into two scores, and the official page names the factors in each: the Searchability Score is built from “Title, Price, Hero image, Retail Readiness, Ratings, and Page Views,” while the Buyability Score “tracks: Images, Videos, Feature bullets, A+ Content, Reviews, and Product FAQs.” The tool’s own call to action is “Analyze Your ASIN, Get Your Listing Quality Score.”
That decomposition matters. A single 74/100 is unactionable; knowing that your Buyability is dragged down by missing video and no A+ content is a task list. The page also markets Trellis’s paid content optimization platform and a demo booking, so expect the free checker to funnel — the score itself is delivered without payment.
SellerApp’s Listing Quality Check takes either an ASIN or a full Amazon product URL and returns four blocks: a listing analysis that “points out all the errors you need to fix,” best-practice suggestions against Amazon’s recommended listing standards, competitive intelligence where you plug in a top competitor’s ASIN, and a combined conversions-plus-SEO read. It is the better of the two free tools if you specifically want a side-by-side against a named competitor; SellerApp’s page does not state a usage cap on the free check, so treat the limit as unknown rather than unlimited.
Run both. They disagree often enough that the disagreements are informative — a factor one tool grades and the other ignores is usually a factor whose weight is genuinely contested.
The Paid Analyzers: Where the Extra Money Goes
The paid tools buy you one thing the free ones cannot do: they connect the audit to keyword data.
Helium 10’s Listing Analyzer is described on Helium 10’s own navigation as the tool to “Score Your Existing Product Listing.” Its differentiator is batch and comparison scope — the official page states you can “Import up to 10 ASINs for a broader scope of what a particular market niche looks like,” and that it evaluates “all aspects of your listing including product title, product description, images, review count, and more,” alongside organic rank and 30-day search volume per keyword. Ten ASINs at a time is the right shape for auditing a category rather than a single SKU. The tool page carries a “Sign Up for Free” call to action; Helium 10 does operate a limited free tier, but the page does not publish what the free report withholds, so budget for a paid plan if you need the full output. Our longer breakdown of the suite is in the Helium 10 review.
ZonGuru’s Listing Optimizer is the one to pick if the question is competitive rather than absolute. Its official page claims that “With its unique Optimization and Listing Strength scoring, it tells you immediately how well your listing satisfies Amazon’s algorithm, how it stacks up to the competition, and where to improve…all in under 1 minute!” — with comparison against up to 8 competing ASINs. The catch is quota: on ZonGuru’s pricing page (checked 2026-08-06), Listing Optimizer runs are metered per plan, and on the Seller plan they also scale with your active-SKU band — 15 sessions per month on Researcher, and on Seller 40 per month at 1-20 active SKUs, 50 at 21-100, and 60 at 101-1000. That is an audit tool, not a monitoring tool.
Jungle Scout’s Listing Builder carries an “AI-driven Listing Optimization Score” that, per the official feature page, “measures product title, description, key features, keywords, images, and more so you have instant live feedback as you adjust your listing.” Its structural advantage is the Seller Central sync — pull the live listing in, edit, push it back — which makes it the closest thing here to an audit-and-fix loop rather than an audit-and-copy-paste one.
The Blind Spots Every Analyzer Shares
Four things none of these tools will catch, ranked by how much they cost you.
Indexation. Every analyzer scores the keywords in your copy. None confirms Amazon has actually indexed your ASIN for them — a term can sit in your title and still return nothing on an ASIN-plus-keyword search. Check this separately; see how to run an index check. A listing that scores 95 and is not indexed for its head term is worth less than a 60 that is.
Backend search terms. They are invisible on the public product page, so a scraper cannot audit them. That is a genuine blind spot shared by every free tool here, and it is the same gap we found when testing AI listing generators.
Your actual image files. Analyzers count images. They do not open them, so they cannot tell you your fourth image is a 500px upscale or that your variants share a single reused photo. Pulling the real image set at full resolution is a separate job — ASINCrate, an independent Chrome extension, exports a listing’s images as a ZIP with hi-res originals, variant folders and optional CSV metadata; single-image download works without an account, while bulk ZIP and CSV export are on its $9.99/month Pro plan (checked 2026-07-27). There is a walkthrough on bulk image download.
Causality. A score is a correlation with best practice, not a measurement of your conversion rate. The only tool that answers “did this change help” is a split test — see Amazon A/B testing tools.
A 30-Minute Listing Audit Workflow
- Amazon first (10 min). Open the Listing Quality Dashboard, filter to your top-selling ASINs, and clear every attribute and compliance recommendation before touching copy. These are the only findings that can suppress a listing outright.
- Two free scores (5 min). Run the ASIN through Trellis and SellerApp. Write down only the factors where both flag a problem — single-tool flags are frequently scoring-model artefacts.
- Index check (5 min). Confirm your top five keywords actually retrieve the ASIN. Fix indexation before rewriting anything.
- Competitor delta (5 min). Compare against the top competing ASIN — image count, video, A+ content, review count, price band. Most listing gaps show up here faster than in any score.
- Rewrite and test (5 min to queue). Apply the 75-character title rule and the keyword research you already have, then queue an A/B test rather than declaring victory.
For where these tools sit relative to the rest of a seller’s stack, AMZFinder maintains a workflow-stage map of Amazon seller software.
Common Mistakes When Reading an Audit Score
Chasing 100. Scores are weighted checklists. The last 15 points usually reward adding content — more bullets, longer description — that can hurt readability and conversion. Stop when the flagged gaps are real gaps.
Comparing scores across tools. Trellis, SellerApp, Helium 10 and ZonGuru each use their own model. A 78 in one and a 91 in another is not a contradiction and not evidence either is broken.
Auditing a listing with a competitor problem. If a hijacker is on your ASIN, no amount of copy optimization moves the numbers. Confirm you control the Buy Box first — the listing hijacker playbook covers detection.
Treating the audit as a one-off. Category attribute requirements and image standards change. Re-run the free checks quarterly on your top ten ASINs.
Frequently Asked Questions
What is the best free Amazon listing analyzer?
For a transparent, factor-by-factor score, Trellis’s Listing Quality Checker — it publishes what feeds its Searchability and Buyability scores rather than returning one opaque number. For competitor comparison, SellerApp’s Listing Quality Check. Both are free as of 2026-08-06, and neither replaces Amazon’s own Listing Quality Dashboard, which is the only one that can see attribute-level compliance data.
Can a listing analyzer see my backend search terms?
No. Every tool on this page reads the public product page, and backend search terms are not rendered there. Audit those manually against your keyword list.
Is Helium 10’s Listing Analyzer free?
The tool page carries a “Sign Up for Free” call to action and Helium 10 does operate a limited free tier, but the page does not publish which parts of the report the free tier withholds (checked 2026-08-06). Paid plans start at $129/month billed monthly, or $99/month billed yearly.
How often should I audit an Amazon listing?
Quarterly for your top ASINs, plus immediately after any category attribute change, image policy update, or a measurable drop in sessions. A listing that has not been re-scored in a year is usually failing at least one standard that did not exist when it was written.
Does a higher listing score mean higher sales?
Not directly. A score measures alignment with best practice, not conversion. Use it to find candidate fixes, then prove the fix with an A/B test.
Conclusion
The honest summary is that listing analyzers are cheap triage, not diagnosis. Amazon’s own dashboard finds the problems that can suppress a listing; the free third-party checkers find the visible content gaps in about five minutes each; the paid tools add keyword-level and competitive depth that is worth paying for only if you are auditing at scale. What none of them do is confirm indexation, open your image files, or prove a change worked — those stay manual, and they are where the money is.