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Core concept · AI Search Infrastructure

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Definition

Agentic search is a mode of AI-powered information retrieval in which an AI agent autonomously conducts multi-step research — breaking a complex query into subtasks, querying multiple sources, synthesizing results, and producing a structured output — rather than returning a single answer to a single query. Agentic search represents the next evolution beyond conversational AI assistants. Where a single-turn AI search returns one answer, an agentic system might research a topic across dozens of sources, compare options, and produce a recommendation — all without human prompting between steps. Brands that surface in agentic research workflows gain presence at a deeper stage of the buyer journey than traditional search visibility captures.

AI Search Ecosystem

Retrieval pipeline

Model Context Protocol

LLM visibility

Multi-step retrieval

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