Bloomreach published a comprehensive evaluation guide for agentic commerce platforms, defining agentic commerce as a system that enables, orchestrates, and governs AI agents within commerce contexts including product discovery, transaction, marketing, and operations (Bloomreach Blog). The guide emphasizes that agentic commerce is already operational, with AI agents browsing, comparing, and buying on behalf of consumers, and retailers lacking structured catalogs for agent discovery are losing sales before human visitors arrive (Bloomreach Blog).
The framework identifies two simultaneous requirements: platforms must be discoverable by external AI agents like ChatGPT, Claude, and Perplexity while also powering on-site and marketing agents (Bloomreach Blog). Bloomreach notes that agentic commerce is estimated to generate $3-5 trillion annually worldwide by 2030, with the US B2C retail market representing a significant portion (Bloomreach Blog). Critically, AI shopping agents respond to different signals than human shoppers—promotional urgency, brand-heavy copy, and discounting have little effect on AI recommendations, while complete product attributes and accurate pricing are what matter (Bloomreach Blog).
The guide presents five evaluation criteria: on-site conversational AI quality (multi-turn reasoning across product attributes and inventory), connectivity with external agent ecosystems (ACP and MCP protocol support), autonomous marketing (agents that determine audience, content, and channel mix from business goals), and two additional dimensions for assessing true agentic capability versus chatbot or automation-only tools (Bloomreach Blog). Commerce practitioners should treat agentic commerce as an operational priority now because standardized infrastructure like MCP has reached deployable maturity, making external agent integration feasible for the first time at scale (Bloomreach Blog).