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Deep research

Deep research
# Work Users
# Advanced Features

Learn how to use deep research for thorough external research tasks

July 23, 2025 · Last updated on August 7, 2025
Deep research

What is deep research?

Deep research is an agent that uses reasoning to quickly gather, summarize, and interpret extensive information from across the web, helping you perform comprehensive research efficiently.

Why it’s useful at work

Deep research is perfect for any knowledge worker who needs thorough, precise, and reliable research. Every output is designed to be documented, with clear citations to sources, making it easy to verify and reference the information. Deep research is particularly effective at finding niche, non-intuitive information that would require browsing numerous websites. Deep research can free up time by allowing you to offload and expedite complex web research with simple prompting - potentially saving you hours of time

Please note that recordings may show a different or previous version of the ChatGPT UI.

Using deep research in a workflow 



Getting started 

  1.  Open ChatGPT and select deep research

2. Ask a clear and detailed prompt Spell out your topic, goal, timeframe, and key details. If deep research needs more context, it will automatically ask follow up questions. 
I’m researching [topic] for [audience/decision/meeting]. Provide a report including recent key opportunities and risks, and 3-5 actionable insights.
3. Review your report
  • Deep research may run for 5–30 minutes while it explores the web; you’ll get a notification when your report is ready. 
  • Ask follow-up questions or request further analysis and deep research will refine as needed.

Examples for your role 

Role
Use Cases
Ready‑to‑use prompt
Marketing
Competitor positioning studies, audience sentiment monitoring, campaign performance benchmarks, trend scanning
Produce a fully cited competitor messaging analysis for the top three cloud security platforms launched globally in the last year.
Product
Feature adoption analytics, user interviews and usability testing, feedback clustering, competitive teardown
Find and cite the three most discussed usability issues for our mobile onboarding among public reviews and forums and propose evidence backed fixes.
Finance
Financial statement review, regulatory monitoring, economic indicator tracking, scenario modeling
Create a documented report on how upcoming global banking regulations may affect capital ratios at major international banks.
Sales
Account research, buyer committee mapping, solution comparison, deal retrospective interviews
Research and cite the buying criteria large enterprises use when selecting customer data platforms and summarize your findings.
Engineering
Repository analytics, incident post mortems, knowledge base mining, performance benchmarking
Locate examples of memory leak fixes in open source Rust projects similar to ours and provide documented recommendations.
HR
Labor market intelligence, policy benchmarking, engagement surveys, diversity metrics research
Compile a cited overview of new pay transparency rules introduced in major regions for 2025 and list practical employer actions.
IT
Threat intelligence feeds, vendor evaluation, usage analytics, root cause reference search
Generate a sourced comparison of the top three enterprise password managers by security certification, user adoption, and cost.
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