Deep research

The research tool is a tool that allows you to perform research or more in-depth search and analysis on given topic(s), and synthesize and output the result in a report. It's used for things like analysis, research, and exhaustive search.

Category: AI
Primary Subcategory: Web Search, Crawling & Extraction for Agents

View in the ChatGPT registry

Integration details

Description

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: Web Search, Crawling & Extraction for Agents
Secondary Subcategories: None listed
Brand: OpenAI
Access: Unknown
First tracked: 2026-05-02
Tool count: 9
Geography: US

ChatGPT Plugin Discovery Score

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ChatGPT can surface a Plugin when it matches a user's request.Your Plugin Discovery Score measures how often yours appears.

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ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competing in ChatGPT Web Search, Crawling & Extraction for Agents

View Category

Listed in alphabetical order

Primary Subcategory

Context.devComing soonGet notified

Deep researchComing soonGet notified

ExaComing soonGet notified

FirecrawlComing soonGet notified

KeenableComing soonGet notified

Tools

9 tools agents can invoke

Export the report as a PDF or DOCX file. Do not call this tool directly.
Fetch inline image binaries for image_inline content references. Do not call this tool directly.
Fetch the current deep research state. Do not call this tool directly.
Pause the deep research workflow while the user edits the plan. Do not call this tool directly.
Skip the sleep and proceed with the deep research experience. Do not call this tool directly.
Start or continue the deep research experience when the user provides a research query. If a research session is already running, this call will steer that session with the user's additional information. After calling this tool, do NOT directly respond to the user's query. Instead let the user know that Deep research has started working on their query. It will start by giving them a plan and then will continue to research the user's query. Alternatively, if steering, let the user know that Deep Research will update their research plan with the new information and then will continue to research the user's query. The final report will be displayed in the Deep Research app widget. DO NOT give a plan in your own response or add ANYTHING else that addresses the user's query.
Steer the deep research experience when the user provides additional information to the existing research session. After calling this tool, do NOT directly respond to the user's query. Instead let the user know that deep Research will update their research plan with the new information and then will continue to research the user's query. The final report will be displayed in the Deep Research app widget. DO NOT give a plan in your own response or ANYTHING else that addresses the user's query.
Stop the deep research experience. Do not call this tool directly.
Subscribe to updates from the deep research experience. Do not call this tool directly.

Deep research FAQ

How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Deep research alternatives on ChatGPT?

As of 2026-09-03, Deep research competes with Context.dev, Exa, Firecrawl, Keenable, Lifestyle Helper, Nimble, Olostep, Parallel Search, smry, Tavily AI, TinyFish, Visualping in ChatGPT Web Search, Crawling & Extraction for Agents, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.