Research with ChatGPT
Use search and deep research to find, analyze, and synthesize information from across the web.
ChatGPT can be a helpful research partner because it quickly brings together information from many sources, making it easier to explore ideas, spot patterns, and understand complex topics. By reasoning through context, citing sources, and producing clear, structured summaries, it helps turn open questions into well-defined insights.
There are two different ways to search the public internet with ChatGPT—search and deep research. Below is an explanation of both, and when to use each.
ChatGPT search allows ChatGPT to pull in the latest information from the internet directly into your conversations. This means you can go beyond ChatGPT’s built-in training 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, 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 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: 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 search.
Deep research in ChatGPT uses reasoning to quickly gather, summarize, and interpret extensive information from across the web, helping you answer complex questions more thoroughly than a standard web search.
Every output is designed to be documented, with clear citations to sources, making it easy to verify and reference the information. Deep research is also particularly effective at finding niche, non-intuitive information that would otherwise require reviewing many sources.
Unlike a traditional web search, deep research is agentic, meaning that it actively plans and carries out a multi-step research process—searching, evaluating sources, refining queries, and synthesizing findings—rather than simply returning a list of links.
1. Open ChatGPT and select deep research from your tools menu
2. Ask a clear and detailed prompt. Include 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 the output as needed.
These features sound similar, but are best for different use cases. Below is a quick comparison of the two features:
搜尋 | 深度研究 | |
|---|---|---|
用途 | 從網絡或已連接的來源快速查找特定事實、文件或最新資訊。 | 針對複雜或尚未明確、需要推理並綜合多個來源資訊的問題，進行多步驟的深入分析。 |
典型使用情境 | 尋找近期新聞稿、產品規格表、新聞報道或單一數據（例如：「去年夏季奧運會的入場人數是多少？」）。 | 探索範圍較廣的問題，例如「哪些因素會影響大型國際體育賽事的入場人數？」或「不同國家如何籌備主辦奧運會？」 |
輸出內容的深度 | 提供精簡的結果、直接答案或連結，類似智能網絡搜尋。 | 產生有實據支持的長篇摘要，通常附有來源引用、利弊權衡及推理步驟。 |
速度 | 快速，通常只需幾秒。 | 較慢，由於需要多步驟推理，可能需時數分鐘或更長。 |
資訊時效性 | 優先採用目前可取得的最新資訊，適合查找突發新聞或時效性強的數據。 | 在相關時採用最新來源，但著重理解背景脈絡，而不只是資訊的新近程度。 |
問題複雜程度 | 最適合明確、具體的查詢。 | 最適合沒有單一正確答案的開放式、探索性或策略性問題。 |
