Researching with ChatGPT helps you move from question to evidence to decision more quickly. You can use it to gather and synthesize information, compare sources, and produce structured reports that include citations—so your output is easier to trust and easier to share. It’s useful for both quick orientation and for deeper, multi-step investigations.

Turn a fuzzy question into a clear research plan and set of sub-questions.

Sift through many sources faster and capture the important details with citations.

ChatGPT offers two main approaches for research, depending on how deep you need to go:

Search is best for fast orientation. It pulls in up-to-date information from the web and summarizes it with citations, so you can quickly review sources and move forward.

Search the public web for the latest news and announcements about the U.S. grocery delivery market in the last 90 days. Prioritize company press releases, earnings coverage, and reputable business reporting. Summarize the 5 most important developments, include dates and links, and end with what these changes may mean for a regional delivery company.

Deep research is best when the question needs multiple steps. It can break the problem into sub-questions, gather and evaluate sources across those threads, and then synthesize the results into a more structured deliverable—like a brief, memo, or comparison—where the reasoning and citations are easier to audit and share.

Conduct deep research on how rising private-label adoption is changing competition in the household cleaning products market. Use public reporting, retailer announcements, earnings commentary, trade coverage, and consumer trend research.

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