Amazon Listing Audit

Amazon Listing Quality Checker - Poodle Scanner

Use this guide when you need a repeatable way to judge whether Amazon listings meet your catalog standard before cleanup, launch, or weekly QA work.

Quality score
Pass/fail checks
Catalog QA
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User intent

Find an Amazon listing quality checker that turns product-page standards into measurable scores.

Create one shared rubric

Turn subjective listing review into a visible score that product, marketplace, and agency teams can discuss without rewriting the standard each week.

Find weak listings first

Separate good pages from listings with missing media, thin copy, rating gaps, or buyer-facing page element problems.

Keep fixes measurable

Use pass/fail checks and measured values so every cleanup task has a visible before and after state.

Workflow

How Poodle Scanner fits the job

Upload ASINs

Start from a catalog file or manual product IDs so the scan scope is explicit.

Apply the rule profile

Run the same title, bullet, media, rating, and page-element checks across every product.

Prioritize remediation

Sort by score and failed checks to decide which listings deserve cleanup first.

Signals

What the scan helps surface

Check

Title length and blocked symbol rules

Reported as an observable result your team can review, export, or use as a cleanup cue.

Check

Bullet count and bullet length rules

Reported as an observable result your team can review, export, or use as a cleanup cue.

Check

Image and video availability

Reported as an observable result your team can review, export, or use as a cleanup cue.

Check

Buy Box, Prime, A+ content, and brand section signals

Reported as an observable result your team can review, export, or use as a cleanup cue.

More resource pages

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Run the workflow

Turn the guide into a scan

Start with a product list or storefront URL, apply the right rule profile, and export the findings your team can act on.

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