ChatGPT for research
ChatGPT is an exceptional research partner because it can instantly synthesize complex information from vast sources, helping you explore ideas, identify patterns, and uncover insights far faster than traditional methods. Its ability to reason through context, cite sources, and generate clear, structured summaries makes it ideal for turning curiosity into clarity.
ChatGPT web search allows ChatGPT to pull in the latest information from the internet directly into your conversations. This means you can go beyond the assistant’s built-in knowledge and get up-to-date answers on things like current events, market trends, competitor activity, or niche details not included in its training data.
Instead of toggling between multiple browser tabs and summarizing information yourself, web search brings those updates directly into ChatGPT, streamlining your research and saving you time. It also makes it easy to combine fresh web data with the reasoning and summarization power of ChatGPT models.
Open a new chat in ChatGPT.
Ask a question that requires current or detailed information (e.g., “What are the top three AI trends in healthcare in 2025?”), or click Web Search from your tools menu.
Look for the small globe icon 🌐 next to the model’s response—this indicates that Web Search was used.
Click the citation links in the response to review the original sources.
Follow-up with clarifying prompts, like “Summarize this in 3 bullet points for executives” or “Turn this into a customer-facing email draft.”
Citations: Always review linked sources before making decisions, since search results reflect what’s available on the web.
Scope: Web Search won’t replace specialized databases (e.g., subscription research tools or proprietary data).
Admin settings: In enterprise environments, Workspace Owners may choose to enable or disable Web Search.
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.
Deep research is perfect for anyone 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.
Open ChatGPT and select deep research from your tools
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.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.
These features sound similar, but are best for different use cases. Check out a quick comparison of the two features below:
Feature | Search | Deep Research |
Purpose | Quickly retrieve specific facts, documents, or recent information from the web or connected sources. | Conduct multi-step, in-depth analysis on complex or ambiguous questions that require reasoning and synthesis across multiple sources. |
Typical use case | Finding the latest company press release, a product spec sheet, a news article, or a single data point (e.g., “What was the attendance at last year’s summer Olympics?”). | Exploring broad topics like “What factors influence attendance at large international sporting events?” or “How do different countries prepare for hosting the Olympics?” |
Depth of output | Returns concise results, direct answers, or links—similar to a smart web search. | Produces long-form, evidence-backed summaries, often with citations, pros/cons, and reasoning steps. |
Speed | Fast—usually a few seconds. | Slower—may take minutes or more due to multi-step reasoning. |
Freshness | Prioritizes the latest available information. Ideal for breaking news or time-sensitive data. | Uses fresh sources when relevant but focuses on contextual understanding rather than just recency. |
Complexity of question | Best for well-defined, specific queries. | Best for open-ended, exploratory or strategic questions with no single right answer. |
