Commerce Launches AI Data Enrichment Tools to Power the Era of Agentic Shopping

Commerce has launched new AI-driven data enrichment tools for Feedonomics and BigCommerce to help merchants optimize product catalogs for "agentic commerce." As AI answer engines increasingly dictate product discovery, fintech and e-commerce professionals must prioritize high-quality, structured data to ensure their products remain visible and transactable in an automated, agent-led marketplace.

What was announced

Commerce (NASDAQ: CMRC) introduced Feedonomics Enrichment and BigCommerce Catalog Enrichment, two solutions designed to transform standard product catalogs into AI-ready intelligence. These tools serve as the foundation for the company’s "agentic commerce" suite, which aims to bridge the gap between traditional merchant data and the requirements of AI agents used by consumers and B2B buyers.

The enrichment capabilities function by taking existing product information and generating more robust, consistent data points. This includes the automated creation of product titles, descriptions, feature bullets, and FAQs, as well as SEO metadata. Crucially for the AI era, the tools also produce structured facts, snippets, and Q&A fields. These specific data types are essential for generative AI experiences and answer engines to correctly interpret a product’s utility and relevance to a user’s query.

The solutions are built to support both B2C and B2B merchants across various platforms. By creating a data pipeline that feeds into major AI hubs like OpenAI and Google, as well as a merchant’s own on-site agents, the tools aim to improve Answer Engine Optimization (AEO). The release emphasizes that this data transformation happens at scale, allowing large-scale distributors and brands to maintain brand-aligned, contextually rich data without manual overhaul. These capabilities are designed to help merchants prepare their data for agent-powered discovery and connect AI tools securely to their businesses.

"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. 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."

Sharon Gee, senior vice president of product for AI at Commerce.

The companies involved

Commerce, trading on the NASDAQ as CMRC, operates an open commerce ecosystem designed to facilitate merchant success in an evolving digital landscape. Central to this ecosystem is BigCommerce, a major e-commerce platform that provides software-as-a-service (SaaS) solutions for retailers. BigCommerce has established itself as a significant player in the market by offering scalable infrastructure for both mid-market and enterprise-level brands, often focusing on flexibility and integration through its "Open SaaS" philosophy.

Feedonomics, another key component of the Commerce portfolio, specializes in product feed management. It serves as a critical bridge for merchants who need to syndicate their product data across hundreds of global advertising channels and marketplaces. By integrating Feedonomics’ data transformation capabilities with BigCommerce’s platform strengths, Commerce positions itself as a provider of end-to-end data health. This positioning is particularly relevant as the market shifts from simple search-based discovery to complex, agent-driven interactions where the quality of the underlying product feed determines a brand's visibility across the broader internet.

What FF News has reported before

FF News has closely followed the intersection of AI and e-commerce, recently highlighting that 64% of UK Shoppers Eye Agentic AI for Savings Despite Security and Transparency Fears. This consumer interest in AI agents underscores the urgency for the data enrichment tools launched by Commerce. Additionally, BigCommerce has been active in expanding its financial and payment capabilities. We previously reported on how BigCommerce and PayPal Launch Unified Embedded Payments Solution for U.S. Merchants and the company's move to tap Klarna as Global Preferred Partner for Flexible Payment Solutions. In the B2B space, our coverage of CoastalPay and Resolve Pay Launch Embedded B2B Net Terms to Eliminate Merchant Credit Risk reflects the broader trend of embedding sophisticated financial tools into the merchant experience.

What this means

This announcement signals a shift in the e-commerce arms race from front-end aesthetics to back-end data integrity. As "Answer Engine Optimization" replaces traditional SEO, merchants who rely on messy, unstructured legacy data are under immediate pressure. The industry is moving toward a reality where an AI agent—not a human—is the primary "shopper." This raises significant questions about brand loyalty; if an agent selects a product based solely on structured data matches, the traditional emotional levers of marketing may weaken. For the fintech sector, this necessitates a tighter integration between product data and payment flows, as agents will eventually require the autonomy to execute transactions based on the data they ingest.