Agentic Search
AI-powered search where autonomous agents perform multi-step research, comparison, and synthesis tasks on behalf of users.
What is Agentic Search?
Agentic Search represents the next evolution of AI search, where AI agents don't just answer a single query but autonomously perform complex research tasks: comparing multiple products, analyzing reviews across platforms, verifying claims against multiple sources, and synthesizing comprehensive reports. Announced at Google I/O 2025 and being developed by OpenAI, Perplexity (Deep Research), and others, agentic search means AI systems will interact with your content more like a thorough human researcher—visiting multiple pages, cross-referencing information, and evaluating credibility across sources. This demands higher content quality, consistency, and factual accuracy than simple single-query AI responses.
How Qwairy Makes This Actionable
Qwairy monitors agentic search patterns through platforms like Perplexity Deep Research and Sonar Reasoning Pro. Track how these advanced AI agents evaluate, compare, and cite your brand during multi-step research workflows.
Frequently Asked Questions
Related Terms
AI Search
Search engine that uses language models to generate conversational responses rather than lists of links.
Query Fan-out
The number of sub-queries or downstream requests that a system issues in response to a single user query.
Grounding
The process of anchoring AI responses in verified, real-world data sources to ensure factual accuracy.
RAG(Retrieval Augmented Generation)
AI architecture that retrieves relevant information from external sources in real-time before generating responses.