Listing under review
Optimum Nutrition Whey
CatalogScore audits public category and product pages, ranks likely listing problems by severity and confidence, and turns them into a focused review queue.
Public category page
Public marketplace sample

Review screen
Priority candidates
82
Health
186
Candidates
42
Priority
Optimum Nutrition Whey
Likely category mismatch
91%
Confidence
NAN Comfort Formula Stage 1
Missing details
89%
Confidence
Dove Anti-Hair Fall Shampoo
Title formatting
94%
Confidence
Proof attached
Open any candidate to inspect the page details behind the flag.
CatalogScore ranks likely issues by confidence and review priority.
PIM and SEO tools work upstream. CatalogScore looks at the public marketplace page after the data is live, then gives your team a queue of candidates to review.
CatalogScore does not treat a finding as final. Each candidate includes the context, confidence score, and supporting page details your team needs to confirm or dismiss it.
186
candidates
42
priority
Listing under review
Optimum Nutrition Whey
Start with the page shoppers see. CatalogScore checks it the same way each time and leaves the final decision to your team.
Read selected public category and product pages as shoppers encounter them.
Run rules and AI checks, then keep candidates that clear confidence and severity thresholds.
Review each candidate, add comments, and keep the decision history.
Send priorities to the team and compare catalog health across rescans.
Catalog issues are not always blanks. CatalogScore also looks for category, wording, image, and regional signals on the pages shoppers browse.

Checks on public catalog pages
Start with a public page
Choose a public category, collection, or search page. CatalogScore will return the ranked review queue your team can inspect before committing to setup work.