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:
Meklēšana | Dziļā izpēte | |
|---|---|---|
Mērķis | Ātri atrast konkrētus faktus, dokumentus vai jaunāko informāciju tīmeklī vai pievienotajos avotos. | Veikt padziļinātu analīzi vairākos posmos par sarežģītiem vai neviennozīmīgiem jautājumiem, kam nepieciešama spriestspēja un informācijas apkopošana no vairākiem avotiem. |
Tipisks lietojums | Atrast nesenu paziņojumu presei, produkta specifikāciju, ziņu rakstu vai atsevišķu datu vērtību (piemēram, „Kāds bija pagājušā gada vasaras olimpisko spēļu apmeklētāju skaits?”). | Izpētīt plašākus jautājumus, piemēram, „Kādi faktori ietekmē lielu starptautisku sporta pasākumu apmeklētību?” vai „Kā dažādas valstis gatavojas olimpisko spēļu rīkošanai?” |
Rezultāta detalizētība | Sniedz īsus rezultātus, tiešas atbildes vai saites — līdzīgi viedai meklēšanai tīmeklī. | Veido izvērstus, pierādījumos balstītus kopsavilkumus, bieži vien ar atsaucēm, priekšrocību un trūkumu izvērtējumu un spriestspējas procesa izklāstu. |
Ātrums | Ātri — parasti dažās sekundēs. | Lēnāk — var aizņemt vairākas minūtes vai ilgāk, jo spriestspēja tiek izmantota vairākos posmos. |
Aktualitāte | Priekšroku dod jaunākajai pieejamajai informācijai; ideāli piemērota jaunākajām ziņām vai datiem, kuru aktualitāte strauji mainās. | Vajadzības gadījumā izmanto jaunākos avotus, taču galveno uzmanību pievērš konteksta izpratnei, nevis tikai informācijas aktualitātei. |
Jautājuma sarežģītība | Vislabāk piemērota skaidri formulētiem, konkrētiem vaicājumiem. | Vislabāk piemērota atvērtiem, izzinošiem vai stratēģiskiem jautājumiem, uz kuriem nav vienas pareizas atbildes. |
