This article explains what Deep Research is, when to use it, how to run a research task, how to review the results, and important limitations to consider.
What Is Deep Research?
Deep Research is an advanced feature in ChatGPT that conducts extended, multi-step research on your behalf.
Unlike a standard ChatGPT conversation, where responses are generated in seconds, Deep Research takes several minutes to:
- Search the web across multiple sources
- Read and compare relevant information
- Synthesize findings
- Identify areas of agreement or disagreement
- Produce a structured report with citations
Think of it as the difference between asking a colleague a quick question and asking them to spend time researching the topic and return with a written briefing.
Deep Research is designed for tasks where depth, breadth, and source documentation matter.
How Deep Research Works
When you submit a Deep Research query, ChatGPT does not simply generate a response from its training data. It completes a multi-step research process.
Step 1: Analyze the Question
ChatGPT reviews your request to determine what information is needed and how the topic should be approached.
Step 2: Search Across Sources
ChatGPT conducts multiple web searches across different aspects of the topic.
Step 3: Review Relevant Information
ChatGPT reads and processes relevant sources to gather supporting information.
Step 4: Compare Findings
ChatGPT compares information from multiple sources and identifies areas of agreement, disagreement, or uncertainty.
Step 5: Create the Report
ChatGPT organizes the findings into a structured report with inline citations linking to the original sources.
The process typically takes several minutes, depending on the complexity of the request. You can watch the progress as ChatGPT works through the research steps.
The final output is a report that you can review, export, or use as the basis for additional questions.
When to Use Deep Research
Deep Research is best suited for tasks that require thorough investigation across multiple sources.
It is especially useful when a standard ChatGPT response would be too limited or when you would otherwise spend significant time searching and reading on your own.
Good Uses for Deep Research
- Literature reviews and research landscape summaries
- Policy analysis and comparisons across institutions or jurisdictions
- Market or technology assessments
- Competitive analysis or benchmarking
- Historical background research on complex topics
- Comprehensive overviews of emerging fields or trends
- Due diligence and background investigation for decision-making
When Another Tool May Be Better
Deep Research is less suited for:
- Quick factual questions: Use standard ChatGPT or web search instead.
- Tasks that rely on internal or private data: Deep Research searches the public web.
- Real-time data: Examples include stock prices or live event results.
- Creative writing, brainstorming, or code generation: A standard conversation is usually more efficient.
- Questions where you already know the sources: A standard conversation or Project may be better for synthesizing known material.
How to Use Deep Research
Start a Deep Research Task
Deep Research is available as a mode or tool in the ChatGPT interface.
- Open a new or existing ChatGPT conversation.
- Select Deep Research from the available tools or model options.
- Enter your research question or topic.
- Review any clarifying questions ChatGPT asks before the research begins.
- Submit the request and allow ChatGPT time to complete the research.
How to Write an Effective Research Prompt
The quality of the output depends heavily on how clearly you frame the request.
A vague prompt is likely to produce a broad report. A specific, well-scoped prompt is more likely to produce something directly useful.
Be Specific About the Question
Clearly state what you want to know.
Instead of:
Tell me about AI in education.
Try:
What are the most common approaches universities are using to integrate generative AI tools into undergraduate STEM courses, and what early outcomes have been reported?
Specify the Scope
Include relevant limits such as geography, timeframe, institution type, or discipline.
Example:
Focus on U.S. public universities and research published since 2023.
Describe the Output You Need
Ask for the structure, comparison format, citation style, or level of detail you want.
Example:
Organize the findings by approach type and include a summary table comparing implementation models.
Provide Context About Your Purpose
Explain why you need the information so Deep Research can prioritize the most relevant findings.
Example:
I am preparing a proposal for our provost to expand AI tool access on campus. Focus on evidence of impact, cost models, and implementation challenges.
How to Review a Deep Research Report
Deep Research reports include inline citations that link to source material. Always review these citations critically.
Open Key Sources
Confirm that the cited source supports the claim being made.
Evaluate Source Quality
Deep Research may cite:
- Peer-reviewed journals
- Government publications
- Organizational reports
- News articles
- Commercial websites
- Blog posts
Consider the authority, reliability, methodology, and potential bias of each source.
Look for Gaps
Deep Research may miss:
- Paywalled academic papers
- Very recent publications
- Specialized or niche sources
- Sources that do not rank prominently in web search results
Cross-Check Important Claims
Verify central findings using additional sources or your own subject-matter knowledge.
How to Use the Results
Deep Research outputs can be copied, exported, or used as the basis for further conversation.
You can continue in the same conversation to:
- Ask follow-up questions
- Request deeper analysis of a specific finding
- Ask for a shorter summary
- Reformat the report for a different audience
- Create a comparison table or presentation outline
- Identify additional questions for further research
If you are working within a Project, you can run Deep Research within that Project so the results remain available alongside related conversations and files.
Use Case Examples
Faculty and Research
Literature Review Preparation: A faculty member starting a new research project uses Deep Research to develop an initial overview of recent work in the field.
Example prompt:
Summarize the key developments in federated learning applied to healthcare data over the past two years. Identify major research groups, commonly used datasets, and open challenges noted in the literature.
The resulting report provides a structured starting point that can reduce the time spent on initial searching and reading.
Grant Proposal Background: A researcher preparing a proposal needs a current overview of the state of the field. Deep Research can produce a summary of recent advances, key citations, and identified gaps for further review.
Pedagogical Research: A department exploring curriculum changes can use Deep Research to compare approaches used by peer institutions.
Example prompt:
How have AAU member universities restructured their introductory computer science sequences in the last three years? Focus on approaches to integrating AI literacy and changes in programming language choices.
Administrative and Operational
Policy Benchmarking: An administrator developing a campus AI use policy can use Deep Research to compare published policies from other institutions.
Example prompt:
What AI acceptable use policies have been published by public R1 universities in the United States? Summarize common elements, notable differences, and policies that specifically address generative AI in coursework.
Vendor and Technology Assessment: A department evaluating software can use Deep Research to conduct an initial market scan.
Example prompt:
Compare leading identity governance platforms, focusing on integration with Microsoft Entra ID, SCIM support, and suitability for higher education environments. Include pricing models where publicly available.
Strategic Planning Support: A dean's office can use Deep Research to gather information about trends affecting a discipline or program.
Example prompt:
What are the major enrollment and employment trends in cybersecurity education over the past five years? Include degree completion data, industry demand projections, and emerging areas of specialization.
Student Use
Thesis Background Research: A graduate student beginning a thesis can use Deep Research to map the major theories, researchers, and recent studies related to a topic.
Example prompt:
What are the primary theoretical frameworks used in research on student retention in online STEM programs? Summarize the key models, their proponents, and recent empirical studies that have tested them.
Career and Industry Research: A student exploring career options can use Deep Research to investigate industry trends, skills, and employment patterns.
Example prompt:
What are the current job market trends for data engineers in the United States? Include in-demand skills, typical career progression, salary ranges, and the industries hiring most actively.
Limitations and Considerations
Usage Limits Apply
Deep Research uses credits or has usage limits. Use it for questions that benefit from extended research rather than quick lookups.
It Primarily Searches Available Web Sources
Deep Research may not have access to:
- Paywalled journals
- Licensed databases
- Private documents
- Internal university systems
For academic research, supplement Deep Research with appropriate library databases and other approved sources.
Source Quality Varies
Deep Research may cite sources with different levels of authority. Review each source for credibility, methodology, and potential bias.
It Can Still Produce Errors
Deep Research may misinterpret a source, draw an incorrect inference, or present information without enough context.
Always verify claims that will inform important decisions.
Processing Takes Longer
Deep Research tasks take minutes rather than seconds. It may not be the right tool when an immediate answer is needed.
Reports Reflect a Point in Time
Results are based on information available when the search is conducted. Research on rapidly changing topics should be refreshed as needed.
Important: Deep Research should support, not replace, your own review of sources, subject-matter expertise, and professional judgment.
Environment
- University of Maine System
- ChatGPT Edu
- Deep Research
- Eligible UMS students, faculty, and staff
- Supported desktop and mobile web browsers