According to a recent LinkedIn post from ReFiBuy, the company’s monitoring agents have detected that Anthropic’s Claude model is now serving product cards across multiple retail categories, including electronics, pet, fashion, and beauty. The post characterizes this as an early but meaningful step toward “agentic commerce,” in which AI systems could eventually handle purchases on behalf of users.
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The post references Anthropic’s previously stated interest in agent-driven commerce and situates Claude’s new behavior as a move up ReFiBuy’s “Agentic Commerce Levels of Autonomy” tracker from Research to Find. It also notes that Perplexity has removed its own product cards, shifting in the opposite direction back to Research.
According to the post, this feature rollout appears consistent with a broader seasonal pattern in which platforms launch commerce-related tools ahead of holiday periods, raising questions about how quickly Claude might progress from enabling research to facilitating full purchases by Holiday 2026. For investors, this suggests an accelerating timeline for AI-powered shopping flows that could alter traffic, attribution, and conversion dynamics across e‑commerce and retail media.
The LinkedIn commentary emphasizes that emerging answer engines represent new “surfaces” where product catalogs may either be included or excluded based on how machine-readable their data is. From an investment perspective, this underscores potential upside for technology providers that help brands structure product data for AI agents, and potential risk for retailers and brands whose SKUs are not easily interpreted by these systems.
ReFiBuy’s reference to its updated autonomy tracker and analysis from Retailgentic points to an expanding ecosystem of tools focused on measuring and enabling agentic commerce. The post implies that as AI agents increasingly mediate product discovery and recommendations, competitive advantage may shift toward companies that optimize catalogs and infrastructure for inclusion in AI-driven shopping experiences.

