Audit
Upload & map your catalog
CatalogIQ ingests your product catalog and prepares it for detailed scoring and enrichment.
catalog scoring
Score your catalog across nine key dimensions and elevate content quality with intelligent improvements, so every product reaches buyers complete, consistent, and on brand.
before you can optimize your catalog, you need to understand it
CatalogIQ’s Catalog Scoring engine analyzes every product listing across completeness, consistency, quality, and relevance, then benchmarks performance and delivers AI-powered recommendations to strengthen content fast.
Audit
CatalogIQ ingests your product catalog and prepares it for detailed scoring and enrichment.
Score
Define how your catalog should be scored across key quality dimensions, then let CatalogIQ’s scoring engine run.
Discover
Explore in-depth insights and areas to identify where and how to improve catalog quality.
Fix
Use AI to fill in missing data, correct errors, enrich product data, and improve low-scoring content.
give your team the clarity and confidence to act faster
Evaluate every SKU
See how you stack up
Go from score to solution in seconds
A clear path to high-converting content.
Accelerate your go-to-market with generative AI and large language models that fill gaps, infer missing attributes, and elevate content quality.
Templates that structure, style, and ship your content.
Blueprint your way to perfect product content. Lock in structure, style, and compliance so every SKU meets your brand and marketplace standards from day one.
Build complete, structured, and ready-to-publish product catalogs in a fraction of the time.
Accelerate your go-to-market with generative AI and large language models that fill gaps, infer missing attributes, and elevate content quality.
Catalog Scoring helps teams understand what is broken, what matters most, and where to act first — before content problems turn into lost performance.
For ecommerce teams
Identify weak attributes, thin copy, and structural issues that prevent products from performing across search and merchandising.
For content teams
Move beyond opinion-based cleanup and focus effort where scoring and business context show the greatest payoff.
For leaders
Give stakeholders a repeatable way to track content quality, compare progress, and align teams around what matters.
catalog scoring
It is a system for evaluating product content quality across multiple dimensions so teams can identify issues, prioritize fixes, and improve performance.
Because product discovery, buyer confidence, conversion, and downstream channel performance all depend on content quality.
Scores are generated by evaluating attributes, completeness, structure, consistency, relevance, and other signals across each listing.
CatalogIQ can score for completeness, accuracy, consistency, relevance, searchability, readability, channel readiness, and other quality factors.
By correcting missing data, improving structure, strengthening relevance, and applying prioritized recommendations from the scoring engine.
That depends on your category, channel, and business goals, but scoring gives you a consistent baseline for improvement over time.
Yes. Scoring can be tuned by category, content model, and business rules so evaluation reflects real-world variation.
Yes. Scoring results can support dashboards, internal reporting, workflow routing, and remediation planning.
Continuously or on a regular cadence. A one-time score is useful, but ongoing scoring is what creates long-term improvement.
Get instant insight into your catalog’s health — then act with confidence.
the platform
CatalogIQ helps ecommerce teams structure, score, and enrich product data so every SKU performs better across search, merchandising, marketplaces, and AI-driven discovery.
See how CatalogIQ brings scoring, enrichment, and catalog building together in one AI-powered product content platform.
Create structured, complete product records from limited inputs like brand, SKU, or part number.
Expand thin or inconsistent product content with complete attributes, descriptions, and structured fields.
Measure catalog quality across completeness, consistency, discoverability, and readiness for AI and ecommerce.