Amazon Listing Audit

Amazon Ratings and Review Count Audit - Poodle Scanner

Use this page when content quality is only part of the problem and weak review proof needs to be visible in the same catalog QA workflow.

Ratings
Reviews
Trust signals
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User intent

Audit Amazon star ratings and review volume as buyer trust signals across a catalog.

Find weak proof

Identify listings with ratings or rater counts below the threshold your team treats as conversion-ready.

Keep content and reputation distinct

See whether a listing is failing because of copy/media gaps or because buyer proof is thin.

Prioritize fragile launches

Surface products that may need review-generation or trust-building work before heavier promotion.

Workflow

How Poodle Scanner fits the job

Set trust thresholds

Choose rating and review-count minimums for the category.

Run the audit

Collect observable rating and rater signals from each product page.

Route exceptions

Give low-proof products to marketplace, lifecycle, or merchandising owners for follow-up.

Signals

What the scan helps surface

Check

Average rating value

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

Check

Total rater count

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

Check

Per-product trust status

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

Check

CSV/PDF report rows for weak proof

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

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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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