Discover
Start with your existing catalog
CatalogIQ begins with your existing product data feed and scores every field for enrichment.
enrichment manager
Transform raw product data into structured, high-performing content so every SKU is built to rank, convert, and scale.
ensure every SKU is ready to rank and convert
CatalogIQ ingests your product data, enriches it with AI, and deploys optimized product content across every touchpoint. Now more than ever, your catalog is the product.
Discover
CatalogIQ begins with your existing product data feed and scores every field for enrichment.
Define
Tailor voice, content sounds, and SKU tone so every channel, category, and audience stays aligned.
Enrich
Turn raw product data into high-performing, enriched product content optimized for search.
Deliver
Deploy channel-ready content with rich detail and optimized structure for search and SEO.
give your team a route to converting existing product catalogs into revenue-ready content
Work from unstructured data to productive content
Shape & scale tonal consistency
Finish the SKU, optimize the signal
Leverage AI-guided workflow to standardize, enrich, and approve faster.
Make content enrichment easy with a step-by-step workflow that helps you standardize, enhance, and expand product content — no technical skills required.
Apply consistent tone, clarity, and messaging everywhere your product content goes.
Whether you’re selling by catalog, drilling down to work, or enforcing strict brand standards, you can tune content tone not only consistent and on-brand, but built to convert for your buyers.
Transform messy, inconsistent catalog data into optimized, channel-ready assets that drive discovery, trust, and conversion.
Automatically fill gaps, normalize inconsistencies, and develop richer copy so that every SKU is easy to find, easy to trust, and easy to convert.
Catalog Enrichment gives teams a repeatable system for improving the content they already have — without starting from scratch.
For retailers
Improve thin content, fix attribute gaps, and create richer product pages that perform better across discovery and commerce.
For brands
Keep messaging aligned across categories, product lines, and channels without relying on manual copy cleanup.
For distributors & suppliers
Build consistency across large assortments while improving searchability, usability, and downstream channel readiness.
enrichment manager
It is the process of improving product data and content so listings are more complete, useful, discoverable, and conversion-ready.
Richer, clearer product content helps buyers find the right products faster and make more confident purchase decisions.
Yes. Better-structured content, stronger attribute coverage, and clearer relevance signals can improve organic visibility.
Yes. Structured, complete, and context-rich product content is increasingly important for AI-mediated discovery experiences.
Yes. CatalogIQ is designed to support and enhance your broader product-content workflow, not replace it unnecessarily.
No. Enrichment is specifically useful when you already have product content that needs improvement, normalization, or expansion.
Through template rules, voice controls, formatting guidelines, and workflow governance that shape the output at scale.
Yes. Content can be shaped for ecommerce sites, marketplaces, supplier portals, and other downstream destinations.
Correction fixes errors, normalization aligns structure, filling the gaps improves completeness, and enrichment adds context and performance value.
Yes. That is exactly where structured enrichment workflows provide the most leverage.
Enrich your product content — fast, scalable, and built to convert.
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.