Deep research starts its analysis by gathering available resources and collecting information as it goes.

Deep Research was developed to tackle tasks requiring extensive online research and reasoning, enabling users to efficiently gather information and make informed decisions across various domains.

Deep Research allows users to generate comprehensive reports on topics of interest, significantly enhancing their learning experience.

Deep Research is designed to save users significant time, potentially giving back 10% to 25% of their work time, depending on the type of tasks they perform.

Deep research can effectively search the web, identify items that fit specific constraints, and synthesize the information into a comprehensive report.

Deep Research has been surprisingly popular for coding tasks, helping users with code searches, documentation, and script writing, which was not initially anticipated as a primary use case. It also excels at synthesizing information and finding specific, hard-to-locate facts on the internet, especially when given detailed descriptions of what users want.

Deep Research begins by asking clarifying questions to ensure it understands the user's request and wants users to provide as much detail as possible upfront to ensure the output meets their expectations.

Deep Research is an agentic capability in ChatGPT that conducts multi-step online research to solve complex tasks, delivering a fully cited comprehensive report in minutes, which would take a human many hours.

Deep Research is particularly effective for detailed queries that require extensive reading and understanding of web content to provide accurate answers.