Listen: AI Agent

An AI agent is much more than a system that simply answers a single prompt. It is a system that can plan and carry out complex, multi-step tasks on its own. Instead of just responding, an agent acts. It breaks a large goal into smaller sub-tasks, runs searches, analyzes the results, identifies any missing information, and refines its approach until the job is done.

Take a question like, "What services does a specific company offer?" A research agent won't just run one search. It uses a process called query fan-out to generate multiple, targeted queries. It enters a loop of planning, searching, assessing, and refining until it has a complete answer.

This shift changes the game for search engine optimization. AI agents are now finding information by issuing dozens of derived queries and consuming web content through structured interfaces. This is why new standards like WebMCP, and AI assistants like Amazon's Rufus, are becoming so critical. They define how websites must structure their information so these autonomous agents can easily find, understand, and use it.