A catalog quality audit moves review from opinion to measurement. The goal isn't a perfect catalog — it's a clear, ranked view of where the gaps are and what they cost. Run it per category, and repeat it on a cadence.
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1. Define required attributes per category
Decide what each category and channel actually needs — because completeness is only meaningful against a defined requirement. See what a product attribute schema is and what catalog completeness means.
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2. Measure completeness
Score the share of products with all required attributes populated and valid, per category and per channel. Start with how to measure catalog quality.
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3. Check consistency and normalization
Hunt for the same value stored many ways, which quietly breaks filters and search. See attribute normalization and product data consistency.
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4. Check accuracy and compliance
Confirm values are correct and meet brand, legal, and channel rules. See content compliance.
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5. Score and prioritize gaps by impact
Turn findings into a ranked list tied to business impact — see catalog quality scoring and why incomplete attributes hurt conversion.
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6. Remediate and re-measure
Close the top gaps through enrichment, then re-score to confirm the fix landed. Quality that isn't re-measured tends to drift back.
Next: make the improved catalog machine-legible with the AI Readiness guide.