ChatGPT (5) — Run Deep Research Like an Analyst
In this guide, you will learn how to use ChatGPT's Deep Research mode to generate cited, multi-source reports — the kind that used to take you a weekend to put together — in 10 to 30 minutes.
Required Tools: ChatGPT Plus or higher (limited Free access rolling out in 2026)
Updated: May 2026
Overview
Regular ChatGPT searches the web in seconds and gives you an answer. Deep Research is different — it's an agent that goes away for 5 to 30 minutes, browses dozens of pages, cross-references sources, and returns a structured, cited report. The 2026 version (powered by a GPT-5.2-based model) lets you focus the research on specific websites, edit the research plan before it runs, and adjust direction mid-run. In this guide, we'll cover when to use it, the prompt formula that produces decision-ready reports, walk through a real example (researching a big purchase), and lock in the habits that turn Deep Research from "interesting demo" into your daily research analyst.
Who This Is Useful For
What You Will Build
A reusable Deep Research workflow that produces:
By the end, you'll have run one full Deep Research session (researching a real big purchase) and have copy-paste templates for trips, life decisions, and competitive landscapes.
What You Need
Step 1: When to Use Deep Research vs Regular ChatGPT
Knowing when not to use Deep Research saves you minutes and quota. Here's the split:
Step 2: The Anatomy of a Deep Research Run
A Deep Research run goes through five phases. Knowing the phases helps you intervene at the right moment.
1. Plan creation — ChatGPT proposes a research plan (3–8 steps) for your review
2. Plan editing (optional) — you adjust the plan before it runs
3. Autonomous browsing — the agent visits dozens of pages, takes notes
4. Mid-run adjustments (optional) — you can redirect or narrow scope while it runs
5. Final report — fully cited, structured, downloadable
The whole thing happens in the redesigned Deep Research sidebar — full-screen view, plan editor, progress tracker — all in one place.
Step 3: The Research Prompt Formula
Same structure that worked for the Claude research article — works just as well here. The four numbered asks at the bottom are what turn a generic browse into a decision-ready report.
[Topic / decision].Context about me:
[relevant details — budget, location, constraints, preferences]
[what I've already considered or ruled out] What I want from you:
1. A clear recommendation with reasons
2. 2 or 3 alternatives with their tradeoffs
3. Cited sources for any specific claims (prices, dates, reviews)
4. Questions I should be asking but might not have thought of
Focus the research on: [specific sites if relevant — e.g.
"prioritize Wirecutter, Consumer Reports, real owner forums;
de-prioritize affiliate-heavy review sites"]
Flag anything where sources strongly disagree.
The "Focus the research on" line is new in 2026 and genuinely changes results. You can tell Deep Research which sources to trust — and which to skip.
Step 4: Walkthrough — Research a Big Purchase
Let's run a real one. Open ChatGPT, click the Deep Research button (in the sidebar or the model area), and paste:
I'm choosing between an electric induction cooktop and a gas
cooktop for a kitchen renovation.Context about me:
Apartment in Taipei, mid-rise, currently has gas
Budget: NTD 30,000–80,000 for the cooktop
Cook ~5 dinners a week, mostly Asian and Italian
Renting (5+ year lease), but landlord allows changes
Care about: long-term running cost, ease of cleaning,
safety with a young childWhat I want from you:
1. A clear recommendation between induction and gas, given
my context
2. 2 or 3 specific cooktop models within my budget for the
recommended type
3. Cited sources for: NTD running cost over 5 years,
long-term reliability, safety statistics with kids,
cooking performance for wok use
4. Questions I should be asking that I haven't thought of
Focus research on: cooktop manufacturers' official sites,
Taiwan consumer publications, real owner forums (PTT, Mobile01).
De-prioritize affiliate review sites and AI-generated content
farms.
Flag where reviews disagree.
ChatGPT will respond first with a proposed research plan — typically 4–6 steps. You'll see something like:
Review the plan. If a step is missing (e.g. "compatibility with woks"), add it. If a step is irrelevant ("compare to halogen — I don't care about that"), remove it. Then click Start research.
Step 5: What to Do While It Runs
Deep Research runs in the background — you don't have to watch it. You can:
If you spot the agent going down a wrong path mid-run, click Adjust in the run panel and add a note like "skip the gas-vs-electric debate at the philosophical level — I just want concrete cost numbers and 3 specific models." The agent re-orients without restarting.
Step 6: Read the Report Like an Analyst
When the report arrives, don't read top-to-bottom. Read it the way an experienced analyst reads someone else's research:
1. Read the recommendation first. What is the conclusion?
2. Skim the alternatives section. Did the agent consider what you would have considered?
3. Click 2–3 source links. Verify they actually say what the agent claims they say.
4. Read the "questions I should be asking" section. This is where blind spots get surfaced.
5. Then read the body. With the conclusion and verifications in your head, the body either reinforces or contradicts what you've already noted.
This 5-step skim takes 5 minutes and is more rigorous than reading top-to-bottom in 25.
Step 7: Save and Reuse
Deep Research reports are precious. Don't lose them.
Going Further
Build research templates as Custom GPTs. Save your "big purchase" prompt as a Custom GPT called Purchase Researcher. Now you don't paste the full prompt — just type the product and your context.
Use it for ongoing topics. For long-running research (job hunt, apartment hunt, condition you're managing), run Deep Research at the start of each phase. Each report builds on the last; over months you have a research archive.
Combine with Connectors. Connect ChatGPT to Notion or Google Drive (Article 7), then end your Deep Research prompts with: "Save the final report as a doc in my Notion 'Decisions' folder." Done — research collected, archived, searchable.
Key Takeaways
Here's what you learned in this guide:
After 2 or 3 runs, you'll find yourself reaching for Deep Research instead of opening 20 tabs. One agent run, one cited report — it's how decisions were supposed to be researched.