The concept of the Zero Moment of Truth (ZMOT), which refers to the moment when a consumer researches a product online before purchasing, is evolving into a new paradigm as AI agents increasingly mediate shopping decisions. This shift, driven by AI technologies capable of acting autonomously to fulfill user commands, fundamentally alters the traditional customer journey and challenges brands to make their products discoverable and transactable by AI agents. As AI agents take over tasks such as product search, comparison, and purchase, traditional strategies like search engine optimization become less relevant, and a new focus emerges on the Agentic Moment of Truth (AMOT) — the point at which an AI agent synthesizes data to make a purchase decision. To adapt, retailers must implement infrastructures like a remote Model Context Protocol (MCP) server, enabling AI agents to access up-to-date product data through a machine-readable format. Technologies like MongoDB Atlas provide a robust foundation for organizing and deploying such infrastructures, offering solutions to operational challenges while ensuring global scalability, security, and high availability. As the MCP Registry launches, brands must be listed to remain competitive, marking a significant transformation in e-commerce where AI-driven interactions become central.