OpenAI Deep Research
Autonomous AI agent that runs multi-step web research and delivers structured reports
Panoramica
Funzionalità chiave
- Autonomous multi-step web browsing
- Long-form reports with inline citations
- Clarifying questions before research starts
- Reasoning over text, images, and PDFs
- Progress updates during research runs
- Exportable results within ChatGPT
Casi d’uso
Competitive Market Analysis
Generate a cited report comparing competitors' products, pricing, and positioning by autonomously browsing company sites, news, and reviews across the web.
Academic Literature Review
Synthesize findings from multiple papers, articles, and PDFs into a structured long-form summary with inline citations for verification.
Investment Due Diligence
Investigate a company or industry across many sources to surface risks, financials, and trends in a single report rather than hours of manual research.
Policy and Product Comparison
Produce detailed side-by-side comparisons of regulations, vendors, or technical options with traceable references to source material.
Pro & contro
Pro
- Handles complex, multi-step research questions
- Provides citations for traceable sources
- Saves hours of manual browsing and note-taking
- Produces structured, long-form output
Contro
- Reports can take 5-30 minutes to generate
- Limited query quota per month
- May still include inaccuracies or weak sources
- Requires a paid ChatGPT subscription
Recensioni
Media su 5 valutazioni.
Accedi per lasciare una recensione.
Margaret Whitfield
Compared a few options
Evaluated this against two competitors. Where it wins: progress updates during research runs and produces structured, long-form output. On balance the feature set — especially exportable results within ChatGPT — justifies the 5 stars for our use case.
Hannah Goldberg
Compared a few options
Evaluated this against two competitors. Where it wins: long-form reports with inline citations and saves hours of manual browsing and note-taking. Where it lags: reports can take 5-30 minutes to generate. On balance the feature set — especially autonomous multi-step web browsing — justifies the 4 stars for our use case.
Kwame Mensah
Solid for our team
We rolled this out across the team last quarter and provides citations for traceable sources. Exportable results within ChatGPT fits neatly into how we already work, and progress updates during research runs removed a step we used to do by hand. but it has held up under daily use.
Tariq Aziz
Compared a few options
Evaluated this against two competitors. Where it wins: reasoning over text, images, and PDFs and handles complex, multi-step research questions. On balance the feature set — especially progress updates during research runs — justifies the 5 stars for our use case.
Linda Petersen
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on progress updates during research runs, and handles complex, multi-step research questions caught me off guard. May still include inaccuracies or weak sources is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Q&A
How much does OpenAI Deep Research cost and are there usage limits?
Deep Research is only available to paying ChatGPT subscribers, not free users. Each plan tier comes with its own monthly query quota, so the number of research runs you can perform depends on which ChatGPT subscription you have.
How long does a report take and can I trust the results?
Reports typically take 5-30 minutes as the agent plans, browses, and iterates across sources. Output is long-form with inline citations you can verify, but it may still contain inaccuracies or rely on weak sources, so reviewing the citations is recommended.
What kinds of tasks is Deep Research best suited for?
It's designed for complex, multi-step research like competitive analysis, market and academic research, due diligence, and detailed product or policy comparisons. It's most useful when you'd otherwise spend hours manually browsing, reading, and synthesizing sources.
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