DaVinci Commerce launches Brand Agent and Product Context…

The October 5 expansion of DaVinci's Agentic Commerce Experience Platform publishes machine-readable product knowledge to personal AI agents including Meta Muse, OpenAI dots, ChatGPT, Gemini, and Claude — reframing what B2C catalogs have to carry.

DaVinci Commerce today announced an expansion of its Agentic Commerce Experience Platform that treats product catalogs as something to be rewritten for machines before they’re read by shoppers. The San Mateo company, which lists Accenture as an investor, says the release went live October 1 and is already distributing enriched catalog data to ChatGPT, Gemini, Claude, and the newer wave of consumer agents: Meta Muse, OpenAI’s dots, Instinct, Walmart’s Sparky, and Amazon’s Alexa for Shopping.

The platform now has three pieces: an Agentic Discoverability Engine, a Brand Agent, and an Agentic BrandStore. The patent-pending core is Product Context Memory, which, per the company, maintains a dynamic knowledge graph tying each SKU to needs, use cases, occasions, and supporting evidence drawn from reviews, social conversations, and lifestyle content. Distribution runs through ACP, UCP, Model Context Protocol services, and JSON-LD. Nestlé, Diageo, Giant Eagle, and Nordstrom are named as customers.

Diaz Nesamoney, DaVinci’s founder and CEO, put the thesis plainly: “Consumers describe their lives, their needs and the problems they want to solve to personal AI agents. Most product catalogs still speak in technical specifications.”

That gap is the actual story. A shopper asking an agent for “a foundation that won’t look cakey” or “a gift for a runner who just moved apartments” is operating in a vocabulary no SKU sheet contains. The companies racing to close it are betting that catalogs built for human browsing become structurally illegible once agent-first discovery feeding personal shopping assistants like Meta Muse replaces the search box, and that the next wave of personal AI agents arriving behind Instinct’s recent funding will accelerate it.

The announcement reports no performance results, and patent-pending status, as RuntimeWire noted, doesn’t establish that enrichment lifts recommendations or sales. It’s an infrastructure bet on a thesis still being priced. The parallel worth noting is structured markup’s earlier rollout across the web: a decade of SEO was reorganized around a vocabulary most merchants didn’t initially see the point of writing in. The web beneath that layer kept working. It just stopped being found. With open web content now increasingly gated against AI crawlers by default, the question of who gets to feed the agents is already past theoretical.

DaVinci Commerce launches Brand Agent and Product Context Memory for AI shopping agents

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