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:
Iskanje | Poglobljeno raziskovanje | |
|---|---|---|
Namen | Hitro pridobivanje konkretnih dejstev, dokumentov ali najnovejših informacij s spleta ali iz povezanih virov. | Izvajanje večstopenjske, poglobljene analize zapletenih ali dvoumnih vprašanj, ki zahtevajo sklepanje in povezovanje informacij iz več virov. |
Značilen primer uporabe | Iskanje nedavnega sporočila za javnost, tehničnih podatkov o izdelku, novice ali posameznega podatka (npr. »Koliko obiskovalcev je bilo na lanskih poletnih olimpijskih igrah?«). | Raziskovanje širših vprašanj, kot sta »Kateri dejavniki vplivajo na obisk velikih mednarodnih športnih dogodkov?« ali »Kako se različne države pripravljajo na gostovanje olimpijskih iger?« |
Poglobljenost rezultatov | Poda jedrnate rezultate, neposredne odgovore ali povezave – podobno kot pametno spletno iskanje. | Pripravi obsežne povzetke, podprte z dokazi, pogosto z navedbami virov, tehtanjem prednosti in slabosti ter koraki sklepanja. |
Hitrost | Hitro – običajno nekaj sekund. | Počasneje – zaradi večstopenjskega sklepanja lahko traja več minut ali dlje. |
Ažurnost | Daje prednost najnovejšim razpoložljivim informacijam; idealno za sveže novice ali podatke, pri katerih je ažurnost ključna. | Uporablja novejše vire, kadar je to smiselno, vendar se osredotoča na razumevanje konteksta, ne le na ažurnost. |
Zahtevnost vprašanja | Najprimernejše za jasno opredeljene, konkretne poizvedbe. | Najprimernejše za odprta, raziskovalna ali strateška vprašanja brez enega samega pravilnega odgovora. |
