Schema as an Interface for AI Agents

This technical report analyzes the shift in Schema.org utilization from a descriptive SEO tool to a functional interface for AI agents. As search ecosystems transition from indexing to autonomous intermediation, structured data becomes a critical interpretative layer for LLMs and agentic systems. The paper defines a framework for "Operational SEO," focusing on entity clarity, intent classification, and machine-readable actionability. By providing specific technical implementations and case studies, the research demonstrates how structured web architectures enable AI agents to move beyond content retrieval toward autonomous decision-making and task execution.