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ChatGPT Deep Research

ChatGPT Deep Research plans a multi-source investigation and produces a structured report with references for the user to verify.

Not tested by JuicyAgents · Reviewed 9 Oct 2026

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Can replace
Google Search, Microsoft Word
Integrations
Google Drive, GitHub, SharePoint
Independent review
Firsthand ChatGPT Deep Research discussion (opens in a new tab)

Overview

About ChatGPT Deep Research

Deep Research is the ChatGPT workflow for questions that need several research steps rather than a quick lookup. It can work with the public web, uploaded files and eligible connected apps. A proposed plan can be reviewed before work begins, and the user can adjust the direction during the run. The result is a documented report, with sources and an activity history that help the reader inspect how it was developed.

Typical uses include a market brief, a product comparison or an investigation across a defined document pack. The best brief specifies scope, dates, preferred sources and what would count as a useful answer. It remains a research assistant: OpenAI documents the possibility of incorrect facts and inferences, and citations do not remove that risk. Evaluate important conclusions against the original evidence, especially when the subject has financial, legal or health consequences.

What the workflow does

  • Research plan: Proposes an approach that the user can review and change before the investigation begins.
  • Multiple source types: Uses public websites, uploaded material and supported connected apps available to the account.
  • Source controls: Can restrict work to chosen sites or prioritize them while allowing wider web search.
  • Progress steering: Allows the user to inspect progress and interrupt to refine the question or source access.
  • Documented report: Provides source links and supports downloading completed work in formats including Markdown, Word and PDF.

From input to result

How the workflow works

You provide

  • A question, desired outcome and clear boundaries.
  • Dates, geography and evidence standards.
  • Relevant files and optional preferred websites.
  • Authorized connected sources when available.

You get

  • A structured first report that brings relevant evidence together in one place.
  • A clearer list of sources and unresolved points for a human researcher to check.
  • An editable research document that can feed a later decision or writing task.

  1. Define the question and source scope, then review the proposed plan.

  2. Follow progress and adjust the focus if the investigation moves away from the intended question.

  3. Open important references, resolve gaps and download the reviewed report for further use.

What it offers

Key features

  • Research plan

    Proposes an approach that the user can review and change before the investigation begins.

  • Multiple source types

    Uses public websites, uploaded material and supported connected apps available to the account.

  • Source controls

    Can restrict work to chosen sites or prioritize them while allowing wider web search.

  • Progress steering

    Allows the user to inspect progress and interrupt to refine the question or source access.

  • Documented report

    Provides source links and supports downloading completed work in formats including Markdown, Word and PDF.

Is it a good fit?

Who it’s for

  • Analysts and generalists investigating a well-defined question across many sources.
  • Researchers who want control over the plan and preferred websites.
  • Teams with a reviewer who can assess the quality of evidence and conclusions.

Strengths

  • Users report value from bringing extensive research together.
  • Feedback directly concerns the Deep Research workflow.

Connected tools

Integrations

  • Google Drive
  • GitHub
  • SharePoint

Listed tools for this workflow. Confirm current support and setup with the provider.

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