GlossaryAI search
What is deep research in AI assistants?
Also called: deep research, research mode, AI research agent
Definition
Deep research is an AI assistant mode that runs many web searches over several minutes, reads a large number of sources, and writes a long report with citations, instead of a quick single answer.
Deep research (AI), explained
OpenAI introduced deep research in ChatGPT in February 2025 as an agentic capability that conducts multi-step research on the internet for complex tasks. Google's Gemini and Perplexity offer similar modes; Perplexity describes its version as performing dozens of searches and reading hundreds of sources before delivering a report. The common thread is time: these modes take minutes, not seconds, and read far more than a normal answer does.
People use them for exactly the research buyers do: comparing vendors, sizing a market, choosing a tool, summarizing a technical area. The output is a structured report with sources cited throughout, which the person may share with colleagues.
For a site owner, deep research changes the odds in a helpful way. Because it reads widely, it's more likely to reach smaller, specialized sources, and it tends to cite pages that contain specific, checkable facts: pricing tables, feature lists, documented limits, methods and dates. Vague marketing pages give it little to quote.
It also magnifies mistakes. A report that pulls an outdated price or a wrong claim from your site, or from an old listing about you, gets pasted into a buyer's decision document. Keeping facts current and consistent across the web matters more when assistants read everything.
Deep research runs through the same crawlers and fetchers as normal AI search, including user-triggered ones. If you block those, the agent simply can't read you and moves on to sources it can.
Why it matters for founders
Deep research reports end up in buying decisions. Specific, current, well-structured pages are what they quote, and they're more likely than quick answers to reach a small company's site.
Example
A head of marketing asks for a deep research report on AI SEO tools. The report cites a startup's comparison page because it lists each tool's pricing model and integrations in one dated table.
Common mistakes
- Keeping key facts only in PDFs, images or gated pages.
- Leaving outdated comparisons live without a date.
- Blocking user-triggered AI fetchers that research agents rely on.
Sources
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Related terms
- AI agentAn AI agent is a system in which a language model decides its own next steps and uses tools, such as web browsing, search, code or APIs, to complete a task with limited human direction.
- PerplexityPerplexity is an AI answer engine that searches the web in real time for each question and writes an answer with numbered citations linking to the sources it used.
- ChatGPT searchChatGPT search is the feature that lets ChatGPT look things up on the web and answer with current information and links to its sources, instead of relying only on what the model learned in training.
- LLM citationAn LLM citation is a link or named source that an AI assistant shows alongside its answer to say where information came from. Being cited sends referral traffic and signals that your page was trusted.