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What is agentic search?
TL;DR
Agentic search is search driven by an AI agent that iterates: it searches, evaluates results, refines queries, and repeats until it finds the right sources.
What is agentic search?
Instead of a single query, an agent plans multiple search steps and adapts based on what it finds. This is common in deep research and AI agent workflows that use a Web Search API for discovery.
When to use it
Use agentic search when the first results are incomplete, when the topic is broad, or when you need to cross-check sources. It is useful for building source lists, finding long-tail pages, and filling gaps before extraction.
Key takeaways
Agentic search turns search into a multi-step, goal-driven loop. Firecrawl's /agent endpoint searches, navigates, and extracts in one flow when you need end-to-end automation.
Last updated: Feb 02, 2026
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