Commerce Launched New AI Product Enrichment Tools

The company introduced tools to automate product catalog optimization for B2C and B2B online merchants.

Updated on Sept. 29, 2026 in Artificial Intelligence

Isometric editorial illustration of a neat grid of floating metallic cubes, representing structured data. — BigCommerce has launched new AI-powered tools, Feedonomics Enrichment and BigCommerce Catalog Enrichment, designed to automate product content and SEO metadata for online merchants. AI Illustration. Upload story photo >

Live Poll

Do you believe AI-enhanced product information makes it easier for you to shop online?

Commerce has unveiled Feedonomics Enrichment and BigCommerce Catalog Enrichment to help merchants generate AI-ready product content. These new tools automate the creation of titles, descriptions, and SEO metadata to ensure catalogs remain competitive.

Why it matters

Optimized product data is increasingly essential for visibility as AI answer engines require structured information to accurately index and interpret online storefronts. These tools help merchants maintain brand consistency across diverse digital marketplaces.

The new platforms utilize generative AI to build product titles, feature bullets, and SEO metadata while providing a quality scorecard for accuracy. The Feedonomics Enrichment tool currently supports data distribution for English content across major platforms.

The players

Commerce

This is a technology company that provides e-commerce solutions for business merchants.

Feedonomics

A subsidiary of Commerce, this platform specializes in product feed management and marketplace optimization.

The details

Merchants can access these enhancements through self-serve integrations or guided workflows directly within the BigCommerce control panel. The system transforms existing product information into structured data fields optimized for platforms like Google, Meta, Amazon, and eBay.

September 29, 2026: Commerce announced the new enrichment capabilities.

The Tech Race

This development marks a shift toward AI-native commerce where product data must be machine-readable to compete in the era of generative AI answer engines. By automating metadata generation, companies are racing to ensure their inventories remain visible in search environments that replace traditional links with direct AI responses.

Merchants can streamline their operational workflows by reducing the manual labor typically required to keep product catalogs updated for multiple sales channels. These tools enable faster product updates and improved SEO performance, which can lead to higher visibility and potential sales growth.

The takeaway

Businesses looking to maintain search visibility should prioritize structured data to ensure compatibility with evolving AI discovery tools. Automating catalog maintenance allows smaller teams to compete effectively with larger retailers across major global marketplaces.