Is your BigCommerce catalog ready for AI shopping?
Most agents reach a BigCommerce store by crawling it. In spec-heavy categories, thin variants, missing identifiers and un-rendered pages are what hide your products.
A US, spec-heavy catalog
Nearly 70% of live BigCommerce stores are US, and the platform skews toward Home & Garden, Apparel and Autos & Vehicles — categories where variants, specifications and identifiers decide whether an AI agent can match your product to what a shopper asked for. CatalogIQ scores your pages against those standards, on the B2B / technical or consumer profile — whichever fits your catalog.
Source: Store Leads, 11 September 2026.
On your BigCommerce product pages
- Titles and descriptions
- Identifiers — GTIN and MPN
- Category depth
- Structured data — schema.org Product
- Image presence
- Variant grouping
- Price and availability exposure
- JS-only rendering
Every check rolls up into your index and a per-product fix list. See how it's scored →
No app, no store access
CatalogIQ reads your public product pages — no BigCommerce app to install, no store access to grant, no theme changes.
Weighing an app, a human audit, or nothing at all? See how the report compares →
One report, one price
Larger or fast-changing catalog?
Over 5,000 products, new SKUs every week, or supplier feeds that overwrite your content? The CatalogIQ platform re-scores the whole catalog every 30 days and shows a 12-month trend.
BigCommerce questions
Does BigCommerce send my products to AI shopping agents?
Do I need a BigCommerce app?
What does it cost?
Report or platform — which is right for me?
See how AI-ready your BigCommerce catalog is
Run the free preview on your real product pages in about a minute. No app, no card.