Catalog-ready
Raise the baseline quality of every ASIN.
Marco Polo Research Lab
Poodle Scanner is an Amazon listing analyzer that runs a bulk ASIN audit across your catalog and scores each product detail page for content quality — titles, bullet points, images, videos, ratings, and key page elements.
Catalog-ready
Raise the baseline quality of every ASIN.
Bulk scanning
Audit dozens to thousands of listings in one run.
Actionable
Clear pass/fail checks and a prioritized fix list.
Why listing quality matters
Amazon shoppers scan fast. Listings with thin content (too few images, weak bullets) or messy formatting (overlong bullets, cluttered titles, odd symbols) tend to underperform. When enough listings in a brand catalog are weak, the whole catalog becomes harder to manage — and harder to scale.
Your top listings may be strong — but a long tail of “okay” or “thin” ASINs quietly drags down results. Poodle Scanner helps you find the weak pages fast and fix the highest-impact issues first.
Inconsistent titles, bullets, and media. No shared standard.
A measurable listing quality score and a repeatable QA process.
Workflow
Poodle Scanner is built for catalog work: launch readiness, cleanup projects, and ongoing listing QA. It’s fast enough for weekly sweeps and structured enough for repeatable standards.
Primary use: brand catalogs with many ASINs. (Agency workflows can come later.)
Checks & scoring
Your scan results are based on real, measurable checks — the same controls you can configure in your rule profile. Below is a high-level view of what we score today.
Length + formatting rules
Min/max title length, brand-first titles, prefixes/suffixes, and blocked symbols/emojis.
Bullet count + bullet length
Require enough bullet points, and keep bullets readable — not too short, not too long.
Images + videos
Minimum and maximum totals for product images and product videos.
Rating thresholds
Set minimum rating and minimum number of raters for “good page” scoring.
Buy box + trust indicators
Checks like Buy button present, Prime badge present, brand section present, and more.
Allowed / blocked values
Define string constraints and allowed/blocked values (including emoji rules).
Differentiator
Many listing checkers use a single definition of “good.” Brands don’t work that way. Poodle Scanner starts with defaults we’ve validated through trial and error — then lets you tighten or relax rules based on what you know about your niche.
Scoring is only useful if teams trust it. When your rubric matches your category, your listing quality score becomes a reliable way to prioritize work and keep standards consistent.
Result: fewer weak pages, faster fixes, and a cleaner catalog for Amazon SEO and conversion.
Output
Poodle Scanner turns “we should improve the listing” into a specific plan: add missing media, fix overlong bullets, improve weak titles, and standardize across your catalog.
Works for launch readiness, catalog cleanup, and ongoing quality control.
Use cases for brands
Verify new ASINs meet your listing standards before scaling ads.
Audit older listings and fix the weakest product pages first.
Prevent regressions as listings change over time.
Confidence
Scan one ASIN first. If it matches how your team thinks about “good listings,” expand to a full catalog audit and enforce standards across the brand.
Tip: keep a “Balanced” profile for most categories and add stricter profiles for top sellers.
Create a free account and run an Amazon listing audit in minutes. Get a listing quality score and a prioritized fix list for your brand catalog.
FAQ
A good Amazon listing is complete, readable, and media-rich: a clear title, strong bullet points, enough product images and videos, and key page elements present. Poodle Scanner turns this into a measurable listing quality score you can apply across your catalog.
Yes. You can set minimums and maximums for title length, bullet count and bullet length, image and video totals, rating thresholds, and additional string constraints like blocked symbols, emojis, and allowed/blocked values.
Yes. Poodle Scanner is designed for brands managing dozens to thousands of ASINs. You can scan in bulk, score each listing, and focus on the highest-impact fixes first.
It’s a listing quality audit system that supports Amazon SEO and conversion by enforcing content standards and consistency. It does not replace your category expertise — it helps you apply it at catalog scale.