Continuous catalog quality, measured.
CatalogIQ scores your catalog the way search engines and AI agents read it, from 0 to 100, then keeps the answer true as your catalog changes.
Catalog quality used to be a vague worry. Now it is a number you can act on.
For years, "our data could be better" was a feeling no one could size. CatalogIQ reads every product the way a machine does and turns it into a single score, with the gaps ranked by impact, so you can stop guessing and start sequencing the fix.
Find the path built for your catalog.
Distributors judged on data they never built to be read.
Score your catalog against the standards distributors are measured on, and flag where it may fall short of refrigerant and efficiency rules.
For HVAC/R distributors →Deep, complex catalogs where gaps are too large to see by eye.
Independent measurement for distributors and manufacturers with hundreds of thousands of SKUs across multiple systems.
For B2B distributors →Catalogs built for shoppers, invisible to the machines that send them.
Measure how ready your consumer catalog is for AI shopping agents and marketplaces, scored against Google, Amazon, and GS1.
For B2C catalogs →Catalogs that looked fine, hiding gaps no one could see by hand.
The team believed their problem was copy formatting. Scoring showed the real issue was structural: nearly all products lacked structured metadata, with many categories at 0% attribute coverage.
B2C outdoor cooking,grills & kitchen
Products were present and well merchandised, but attribute definitions were inconsistent from category to category, quietly limiting filtering, comparison, and discovery across the catalog.
The free score tells you where you stand today. The subscription keeps the answer true.
See your number, your sub-indices, and the gaps that matter most, against the standards AI and marketplaces actually read.