Artificial Intelligence Updated 2026-07-04

Agentic Search

Agentic Search refers to search and answer engines powered by AI agents that actively research topics by performing multiple searches, visiting pages, and synthesizing information autonomously.

Definition

Instead of doing one retrieval pass and generating an answer, agentic search systems engage in iterative research. An agent might search for initial answers, identify gaps, perform follow-up searches, visit pages to extract details, and synthesize a comprehensive answer. This multi-step research produces more thorough and accurate results.

Agentic search is moving beyond simple RAG pipelines toward systems that reason about what information is missing and actively seek it out. Search engines like Perplexity and others now use agentic approaches, conducting internal research before presenting synthesized answers to users.

Why it matters for AI visibility

Agentic search engines don't settle for a single citation; they actively research and compare sources. Your brand benefits from comprehensive, defensible claims and transparent sourcing. Agents will investigate contradictions and scrutinize sources, meaning accuracy and verifiability are now prerequisites for citations.

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