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Agentic search and the sources AI agents cite

AI agents search the web for people and cite only a few sources. See how they pick them, and how to be one.

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Sources it cites

yourbrand.com
On this pageSide by side
  1. 01Side by side
  2. 02Definition
  3. 03The loop
  4. 04In the wild
  5. 05Why it matters
  6. 06Straight answer
  7. 07Checklist
  8. 08FAQs

Agentic search meaning

Agentic search is a retrieval approach in which an AI agent plans the question, breaks it into sub-queries, runs several searches or tool calls, reads and judges what it finds, and repeats until it has enough evidence to write a synthesized, cited answer or take an action.

01 · Side by side

Traditional search vs AI search vs agentic search.

Traditional search retrieves what you ask for. Agentic search breaks your goal into steps, uses tools and live websites, and adapts as it goes, as Semrush puts it.

Queries per question
Traditional searchOne
AI search (RAG)One retrieval step
Agentic searchMany, planned and refined by the agent
What it reads
Traditional searchTitles, URLs and snippets
AI search (RAG)Chunks from an index
Agentic searchFull pages from the live web
Freshness
Traditional searchIndex at crawl time
AI search (RAG)Snapshot from ingestion
Agentic searchCurrent at query time
Output
Traditional searchA list of links
AI search (RAG)A grounded answer
Agentic searchA cited answer, report or action
Who decides the next step
Traditional searchThe person
AI search (RAG)The pipeline
Agentic searchThe agent

02 · Definition

What is agentic search?

Agentic search is a way of finding information in which an AI agent, not the person, runs the search. Decagon describes it as an agent that breaks a question into sub-queries, runs multiple searches, evaluates what came back and iterates until it has enough to answer.

The key difference is control. In a classic search you read the results and decide what to search next. In agentic search, the search call is an action the agent takes in the middle of its reasoning, as Firecrawl explains. It chooses the query, reads the pages and decides whether to search again.

Conductor frames it as multi-step research that synthesizes several sources into one answer. The result can be a written answer with citations, a report, or a next action such as a booking.

Query fan-out

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03 · The loop

How does agentic search work?

Most descriptions share the same loop: plan, search, read, judge, repeat, then answer with sources.

  1. 1

    Plan the question

    The agent turns a goal into sub-questions. Google calls its version query fan-out: a set of concurrent, related queries generated by the model (Google Search Central).

  2. 2

    Search several times

    It runs the sub-queries across search engines, APIs or document stores. Perplexity says its Deep Research performs dozens of searches and reads hundreds of sources (Perplexity).

  3. 3

    Read and judge

    It opens full pages, not just snippets, and checks whether they answer the sub-question.

  4. 4

    Refine and repeat

    If evidence is missing, it reformulates the query and searches again. OpenAI describes deep research as pivoting as needed in reaction to what it finds (OpenAI).

  5. 5

    Answer with sources

    It writes a synthesized answer with citations, or takes the next step the person asked for.

04 · In the wild

Agentic search examples in products today.

The major assistants all run some form of agentic search, with different names.

  • 01

    Google AI Mode

    Uses query fan-out, breaking a question into subtopics and issuing many queries at once. Deep Search can issue hundreds of searches and produce a fully cited report (Google, May 2025).

  • 02

    ChatGPT deep research

    OpenAI launched it in February 2025 as an agentic capability that conducts multi-step research across hundreds of online sources, with citations (OpenAI).

  • 03

    Perplexity Deep Research

    Iteratively searches, reads documents and reasons about what to do next, refining its research plan (Perplexity, February 2025).

  • 04

    Claude Research

    Runs multiple searches that build on each other and returns easy-to-check citations (Anthropic, April 2025).

  • 05

    Copilot Search in Bing

    Blends traditional and generative search and links whole sentences to their sources (Microsoft Bing, April 2025).

05 · Why it matters

What agentic search means for brands and SEO.

When an agent runs the searches, your page competes to be read and cited, not just clicked.

  1. 01

    Rankings matter less alone

    Ahrefs found 37.9% of URLs cited in AI Overviews rank in the top 10, down from about 76% in July 2025, and links the drop to query fan-out (Ahrefs, March 2026).

    AI answer

    For small agencies, yourbrand.com fits best.

    source 1source 2source 3
  2. 02

    Citations earn the clicks

    Seer Interactive found brands cited in an AI Overview got 120% more organic clicks per impression than brands that were not cited (Seer, April 2026).

    Cited sources

    yourbrand.com/pricing
  3. 03

    Fewer clicks overall

    Pew found people clicked a result on 8% of visits with an AI summary, against 15% without one (Pew Research, July 2025).

    AI mentions

    1yourbrand
    2
    3

06 · Straight answer

Does agentic search replace SEO?

No. Google says there are no additional requirements to appear in AI Overviews or AI Mode, and that the work is still SEO (Google).

  1. 01

    Agents need pages they can find

    To be a supporting link in Google's AI features, a page must be indexed and eligible to show with a snippet.

  2. 02

    Fan-out rewards depth

    One question becomes many sub-queries, so pages that answer the related questions clearly get more chances to be read.

  3. 03

    Shortcuts backfire

    Google warns that making a page for every fan-out query can violate its scaled content abuse policy, and that it ignores llms.txt for Search.

The shift is in measurement: track whether assistants name and cite you, not only where you rank.

07 · Checklist

How to prepare your site for agentic search.

  1. 1

    Make sure agents can reach you

    Keep key pages crawlable and indexed, and check you are included in Search generative AI features in Search Console.

  2. 2

    Answer the related questions

    Cover the sub-questions buyers ask on the pages you already have, with clear claims and sources, instead of thin pages per query.

  3. 3

    Publish unique facts

    Google asks for unique, non-commodity content. Original data, prices, specs and policies give agents something worth citing.

  4. 4

    Match structured data to the page

    Use structured data that matches visible content, and keep images, video and business profiles current.

  5. 5

    Measure AI visibility

    Search Console now reports AI Overviews and AI Mode impressions (Google, June 2026). For ChatGPT, Perplexity and Claude, track mentions and citations with an AI visibility check.

08 · FAQs

Agentic search questions.

What is agentic search vs RAG?

Standard RAG retrieves chunks from a pre-built index once. Agentic search is a loop the agent controls: it plans sub-queries, searches the live web or several sources, reads full pages and repeats until it has enough evidence.

What is an agentic search platform?

Software that lets an AI agent plan and run retrieval for you. Examples range from consumer assistants like Google AI Mode and ChatGPT deep research to developer tools such as OpenSearch's agentic search.

Can you give an example of an agentic search query?

Google's example: "how to fix a lawn that's full of weeds" fans out to best herbicides for lawns, removing weeds without chemicals, and preventing weeds, before one answer is written.

Is ChatGPT an agentic AI?

In some modes. OpenAI calls deep research an agentic capability and agent mode a unified agentic system. Standard ChatGPT search decides when to search, but OpenAI does not call it agentic.

Is agentic search the same as agentic SEO?

No. Agentic search is how AI agents find information. Agentic SEO usually means using AI agents to do SEO work, such as audits and fixes.

How can I see if agentic search cites my brand?

Search Console shows AI Overviews and AI Mode impressions. For other assistants, run the prompts buyers use and track mentions and citations over time with an AI visibility tool.

Related topics

Sources

  1. 01What is agentic search · Decagon, accessed September 27, 2026
  2. 02Agentic search · Firecrawl, September 24, 2026
  3. 03Agentic search · Conductor, January 30, 2026
  4. 04What is agentic search · Semrush, April 7, 2026
  5. 05AI optimization guide · Google Search Central, July 10, 2026
  6. 06AI features and your website · Google Search Central, accessed September 27, 2026
  7. 07Generative AI performance reports · Google Search Central, June 3, 2026
  8. 08AI Mode update · Google, May 20, 2025
  9. 09Introducing deep research · OpenAI, February 2, 2025
  10. 10Introducing Perplexity Deep Research · Perplexity, February 14, 2025
  11. 11Claude takes research to new places · Anthropic, April 15, 2025
  12. 12Introducing Copilot Search in Bing · Microsoft Bing, April 2025
  13. 13AI Overview citations and the top 10 · Ahrefs, March 2, 2026
  14. 14AIO impact on Google CTR, 2026 update · Seer Interactive, April 24, 2026
  15. 15Google users are less likely to click when an AI summary appears · Pew Research Center, July 22, 2025