Agentic Search
Quick answer
Agentic search is AI search carried out by an autonomous agent that plans several steps, runs multiple queries, and sometimes takes an action, such as booking or filling a form, on a user's behalf, rather than answering a single question and stopping. It extends AI search from answering to doing.
Why it matters
A brand mentioned inaccurately to an agent carrying out a multi-step task, like comparing vendors before recommending one to buy from, loses out before a human ever reviews the decision, because the agent's intermediate research is usually invisible to the brand. The stakes are higher than a simple chat answer, since an agent's conclusion can turn directly into a purchase or a booking, with no human pausing in between to double-check the recommendation.
How to measure it
Agentic search is harder to observe directly than a single chat answer because an agent's intermediate steps aren't normally visible to an outside brand. The practical proxy is the same checks used for AI search generally, since an agent's underlying research draws on the same kinds of sources a single-turn AI answer does, so keeping those sources accurate is the only real lever a brand has.
Example
A procurement assistant is asked by a user to find and shortlist three vendors for a service, research their pricing, and summarize the comparison. The agent runs several searches and reads several pages before producing its shortlist, and a vendor with a thin, outdated web presence in those sources never makes the list, without a single human ever searching for it manually or getting a chance to make its case directly to the person actually making the decision.
Frequently asked questions
How is agentic search different from a regular AI chat answer?
A regular AI answer responds to one question and stops; agentic search involves an AI system running multiple steps, reading several sources, and sometimes taking an action on the user's behalf, closer to a research assistant working through a task than a single lookup.
Can a brand monitor agentic search directly?
Not with full visibility into an agent's intermediate steps today, since those usually aren't exposed; the practical approach is tracking the same AI-engine mentions that feed an agent's research, which is the closest proxy currently available.
Does MarketHQ track agentic search specifically?
MarketHQ tracks brand mentions across major AI chat engines, which is the input agentic tools typically draw on, rather than observing an agent's private multi-step process directly.
What's the single most useful thing a brand can do for agentic search today?
Keep the same pages and comparisons accurate that feed single-turn AI answers, since an agent's research draws from the same underlying sources rather than some separate, agent-specific pool of content, and that overlap is likely to grow as more products add multi-step, action-taking features.
Related terms
Related
MarketHQ tracks brand mentions across communities, news, blogs, social and AI answers, and turns them into gap analysis and action plans.