CatalogWise documentation
Product, scan, reporting, AI guide, billing and implementation documentation for online-first catalog readiness workflows.
Getting started with CatalogWise
Use CatalogWise as an operating layer for AI Commerce Readiness: scan a store, inspect evidence, prioritize fixes and turn the work into reports.
Running your first public scan
Public scans inspect visible storefront signals and create the first value moment before a paid plan.
Saving a public scan to your dashboard
A public scan can be claimed after signup so the user does not lose the audit result.
Understanding AI Commerce Readiness Score
The readiness score is a directional diagnostic based on evidence CatalogWise can inspect, not a promise of ranking, traffic or recommendation.
Understanding evidence, sourceType and limitations
Every dashboard surface should state whether it is real evidence, awaiting evidence, plan-gated, provider-gated, demo sample or QA fixture.
Working with multiple stores
Multi-store is store-scoped. The active store controls scans, products, issues, recommendations, reports and relevant activity.
How to prepare a Shopify catalog for AI shopping agents
Audit public visibility, enrich product facts, validate schema and reserve optional Deep Access diagnostics for private fields.
How to improve product data quality for AI discovery
Prioritize complete titles, attributes, identifiers, descriptions and variant fields before scaling feed work.
How to audit Shopify structured data
Check Product, Offer, Breadcrumb, Organization and FAQ signals without overstating what schema can deliver.
How to improve product feed readiness
Align public product facts, feed fields, availability, identifiers and category mapping.
How to build better product FAQs for AI commerce
Answer purchase questions with accurate, product-specific guidance that can be parsed clearly.
How to identify missing product attributes
Map category-specific facts that influence comparison, compatibility and product-fit decisions.