Agentic Search
Agentic search is an AI-powered search approach where autonomous agents conduct multi-step research, synthesizing information across multiple sources.
What is agentic search?
Agentic search is an AI-powered search approach where autonomous agents actively conduct multi-step research on behalf of users, going beyond simple query matching to dynamically explore, analyze, and synthesize information across multiple sources. Rather than passively returning a list of links, agentic search systems independently navigate through content, make decisions about what information is most relevant, and compile comprehensive answers through iterative exploration and reasoning.
Agentic search systems provide key capabilities:
- Actively conduct multi-step research by exploring and analyzing multiple sources dynamically
- Follow complex reasoning to compare sources, verify information, and evaluate content quality
- Synthesize comprehensive findings autonomously rather than returning simple link lists
- Make real-time decisions about relevance and authority when selecting source material
This represents a shift in how search operates, moving from retrieval-based systems to research-oriented agents. For content creators and SEO professionals, content must be structured, accurate, and authoritative to be selected by AI agents conducting autonomous research on behalf of users.
Learn more: Explore how agentic search is transforming information discovery in our Agentic Search guide.
