Agentic Catalog Exports (ACE) enables merchants, including Dell, to prepare and deliver agent-ready product data across emerging AI shopping surfaces
AUSTIN, Texas, April 27, 2026 (GLOBE NEWSWIRE) — Commerce (Nasdaq: CMRC), an open, intelligent ecosystem of technology solutions and the parent company of leading ecommerce platform BigCommerce and data feed optimization leader Feedonomics, today announced that merchants are now syndicating catalog data to key agentic discovery channels including OpenAI and Google Gemini, using Feedonomics Agentic Catalog Exports (ACE), a new enterprise service designed to help merchants make their product catalogs discoverable across emerging AI-powered and agent-driven shopping environments.
Enterprise brands are increasingly seeking to become “agent-ready,” but doing so today often requires engineering resources and ongoing maintenance to keep pace with evolving specifications. ACE provides retailers first-adopter access to agentic shopping experiences by delivering optimized catalogs to participating agentic surfaces, including OpenAI/ChatGPT, Google AI surfaces including Gemini, Microsoft Copilot, PayPal, Stripe, Perplexity and Amazon. Leveraging Feedonomics’ best-in-class data optimization reduces operational overhead and accelerates participation as new channels unlock.
“Agentic commerce is quickly shifting from experimentation to real-world application, and merchants need a reliable way to participate,” said Sharon Gee, senior vice president of product for AI at Commerce. “With Agentic Catalog Exports, we’re making it easier for enterprises to prepare their product data for this new environment without having to build and maintain complex, one-off integrations for every destination.”
Dell is among the early enterprises leveraging Feedonomics to support its agentic commerce initiatives. Through Feedonomics, Dell has prepared a product catalog of approximately 7,000 items—including laptops, desktops, servers, monitors and accessories—for emerging AI-driven discovery experiences.
“As AI agents become a more common starting point for product discovery, the quality and structure of product data matter more than ever,” said Paul Mansour, global marketing director at Dell. “Feedonomics helped us optimize and structure our catalog so Dell products are not only more discoverable, but also more accurately and completely represented within ChatGPT, ensuring customers can find the right information as they evaluate their options.”
As agentic shopping experiences evolve, Feedonomics expects a growing shift from traditional search feeds to structured agent-ready catalog exports for optimized product discovery across traditional ad channels and agentic surfaces. Early implementations today include a mix of crawled and feed-based experiences, with a long-term trajectory toward fully structured, feed-driven commerce interactions.
