Commerce Introduces Data Enrichment for BigCommerce and Feedonomics to Power Agentic Commerce

New capabilities help B2C and B2B merchants create richer, AI-ready product data at scale and form the foundation of Commerce’s broader agentic commerce solutions

AUSTIN, Texas — Sept. 29, 2026 — As AI reshapes how products are discovered and purchased, the quality of a merchant's product data is becoming a decisive competitive advantage. Commerce (NASDAQ: CMRC), the open commerce ecosystem built to help merchants win as AI reshapes how customers discover and buy, today announced Feedonomics Enrichment and BigCommerce Catalog Enrichment. These new capabilities help B2C and B2B merchants transform their catalogs into richer, AI-ready product intelligence at scale. 

The new enrichment capabilities form the cornerstone of Commerce’s agentic commerce solutions, a growing collection of products and capabilities designed to help merchants prepare their product data for agent-powered discovery, connect AI tools securely to their businesses and enable new shopping and store management experiences.

Product data has always been an operational requirement, but in an AI-driven market, it becomes the deciding factor. If an AI answer engine can’t access the relevant information about a product, it won’t surface the product in response to a user’s question. Shoppers and B2B buyers alike are already asking AI apps to compare products, answer questions and, increasingly, complete purchases. Those experiences depend on product data that’s contextually rich and brand-aligned, so buyers are matched with the brands, manufacturers and distributors best suited to them. Traditionally, catalogs have been written for humans browsing a website, not for AI agents parsing and interpreting product data at scale. Enrichment closes that gap by improving the quality and structure of that data. It also gives merchants and their teams a governed way to put AI to work inside their own business.

“AI agents can only answer questions about your products as well as your data allows. Whether you're a marketer driving AEO or a product leader building shopping agents, better data is the foundation for better agentic experiences,” said Sharon Gee, senior vice president of product for AI at Commerce. “Feedonomics Enrichment and BigCommerce Catalog Enrichment give brands on any platform a data pipeline that lifts performance everywhere agents meet shoppers from Google to OpenAI and on their own sites and agents."

Commerce's enrichment solutions turn the product information a brand already has into more robust, consistent data. Both Feedonomics Enrichment and BigCommerce Catalog Enrichment generate product titles, descriptions, feature bullets, FAQs and SEO metadata. They also produce the structured facts, snippets and Q&A fields that generative experiences use to interpret what a product is, who it is for and why it’s a relevant match. Feedonomics Enrichment extends that foundation to the product fields used across marketplace and advertising destinations, while mapping content to a brand's own taxonomy.

Because the same enriched foundation travels with the data, the effect compounds across four parts of a merchant's business:

• Reaching customers. Consistent, complete records give shoppers and agents the detail they need to find and match products across storefronts, advertising channels, marketplaces, social platforms and answer engines, so a product is represented the same way, wherever discovery happens.

• Running the storefront. Enrichment removes the need for CSV exports, third-party tools and agency projects that take hours to maintain, so catalog quality stays current without the manual upkeep, with merchants still in control of what goes live.

• Selling products. AI can only recommend what it can understand. Contextual product content lets a conversational experience take a shopper's question, match it to a specific product and provide a credible reason to choose it.

• Building experiences. Structured, machine-readable product data is what developers build on. It makes a catalog usable by the assistants, storefronts and agent-facing experiences.

Feedonomics Enrichment 

Feedonomics Enrichment helps enterprise and multichannel brands transform complex product catalogs into consistent, channel-ready content at scale. Its data model supports storefront, search and answer-engine content across destinations such as Google, Meta, Amazon and  eBay, as well as agentic surfaces like Gemini, ChatGPT and CoPilot.

Available through both self-managed and managed-service models, Feedonomics Enrichment enables merchants or their Feedonomics teams to configure and run enrichments through a native self-serve integration. The offering includes a merchant-facing quality scorecard that evaluates accuracy, consistency and brand adherence, with an explainable issue list for anything that may require attention.

A new analytics experience also gives brands visibility into performance signals across onsite traffic and paid media, helping them evaluate how enriched product information performs across the customer journey. An additional conversational reporting agent experience is planned to make those insights easier to explore using natural-language questions. 

Feedonomics Enrichment is currently available for English-only product content generation with multi-language capabilities coming soon. 

Learn more about Feedonomics Enrichment and request a demo: https://feedonomics.com/product/agentic-commerce/ai-data-enrichment/ 

BigCommerce Catalog Enrichment

BigCommerce Catalog Enrichment is designed to give merchants a native, self-serve way to enhance product content directly within the BigCommerce control panel. Merchants can select products, provide brand inputs and generate titles, descriptions, feature bullets, FAQs, SEO metadata and structured fields specifically designed to drive greater AEO and GEO performance. 

Guided workflows enable merchants to enrich thousands of products without leaving their store’s control panel. Generated content is evaluated using a proprietary quality scorecard focused on accuracy, consistency and adherence to a merchant’s brand voice. Merchants can then review the results and apply enrichments across their entire catalog in a single click, eliminating the need to export catalogs to an outside tool and re-import the results.

“There are four things merchants have to get right in the agentic era: be discoverable by agents, put agents to work running the business, convert inside the conversation and build on open standards so none of it locks you in,” Gee said. “Our agentic commerce solutions do all four, and we deliver them without asking a merchant to hand over their first-party data or their customer relationship to get there.” 

Learn more about Commerce’s agentic solutions: https://www.bigcommerce.com/product/agentic-commerce/ 

About Commerce Commerce (Nasdaq: CMRC) empowers businesses to innovate, grow, and thrive by providing an open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, Commerce connects the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. Trusted by leading businesses like Coldwater Creek, Cole Haan, Dell, Harvey Nichols, King Arthur Baking Co., Mizuno, Pacsun, Perry Ellis, Skechers, SportsShoes and Uplift Desk, Commerce delivers the storefront control, optimized data, and AI-ready tools businesses need to grow, serve diverse buyers, and operate with confidence in an increasingly intelligent, multi-surface world. For more information, visit www.commerce.com or follow us on X and LinkedIn.

BigCommerce®, the Commerce logo, and other brands are the trademarks or registered trademarks of Commerce.com Pty. Ltd. Third-party trademarks and service marks are the property of their respective owner.

Media Contact: 

Brad Hem

pr@commerce.com