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:
Carian | Penyelidikan mendalam | |
|---|---|---|
Tujuan | Mendapatkan fakta khusus, dokumen atau maklumat terkini dengan pantas daripada web atau sumber yang disambungkan. | Menjalankan analisis mendalam dalam beberapa langkah bagi soalan rumit atau kabur yang memerlukan penaakulan dan sintesis daripada pelbagai sumber. |
Kegunaan lazim | Mencari siaran akhbar terkini, helaian spesifikasi produk, artikel berita atau satu butiran data (cth., “Berapakah jumlah kehadiran di Sukan Olimpik musim panas tahun lalu?”). | Meneroka soalan yang lebih luas seperti “Apakah faktor yang mempengaruhi jumlah kehadiran di acara sukan antarabangsa berskala besar?” atau “Bagaimanakah negara-negara berbeza membuat persediaan untuk menjadi tuan rumah Sukan Olimpik?” |
Tahap perincian hasil | Memberikan hasil ringkas, jawapan terus atau pautan—seperti carian web pintar. | Menghasilkan ringkasan panjang yang disokong bukti, lazimnya dengan rujukan sumber, pertimbangan baik buruk dan langkah penaakulan. |
Kelajuan | Pantas—biasanya beberapa saat. | Lebih perlahan—mungkin mengambil masa beberapa minit atau lebih kerana melibatkan penaakulan berbilang langkah. |
Keterkinian | Mengutamakan maklumat terkini yang tersedia; sesuai untuk berita terbaharu atau data yang perlu diperoleh segera. | Menggunakan sumber terkini apabila relevan, tetapi menumpukan pada pemahaman konteks, bukan sekadar keterkinian. |
Kerumitan soalan | Paling sesuai untuk pertanyaan yang jelas dan khusus. | Paling sesuai untuk soalan terbuka, berbentuk penerokaan atau strategik yang tidak mempunyai satu jawapan yang betul sahaja. |
