An AI system that plans and executes multi-step tasks autonomously — researching, calling tools, and acting toward a goal rather than just answering.
An AI agent is a system that plans and carries out multi-step tasks on its own — breaking a goal into sub-tasks, running searches or tools, reading results, and iterating — rather than simply answering a single prompt. It's the difference between a system that responds and one that acts.
Our multi-step research agent, built on Google's query fan-out inside an agentic framework, shows the pattern: given "what services does DEJAN AI offer?", it generates several targeted queries, runs a research loop, identifies knowledge gaps, and issues follow-up searches until it can answer. That loop of plan → search → assess → refine is the core of agentic behaviour.
For AI SEO, agents change the game because they issue many derived queries via query fan-out and consume content through structured interfaces. This is exactly why standards like WebMCP and assistants like Amazon's Rufus matter for how sites expose themselves to agents.
