ChatGPT’s New “Deep Research” Feature: A Comprehensive Guide

ChatGPT’s New "Deep Research" Feature: A Comprehensive Guide

— Unlocking Advanced Research Automation and the Secrets to Effective Prompt Writing —

In 2025, OpenAI introduced a groundbreaking new feature for ChatGPT called "Deep Research." Unlike previous versions that responded within seconds, this feature autonomously gathers and analyzes information from the web and generates in-depth research reports comparable to expert-level analysis. Whether you’re involved in business, academia, or market research, Deep Research is rapidly becoming a game-changing tool. In this article, we explain what Deep Research is, share practical prompt examples, and offer tips on how to harness its full potential.

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1. What Is Deep Research?

1-1. Overview and Technical Background

Deep Research leverages OpenAI’s latest model (the o3 series or its fine-tuned version) to perform a multi-step research process. Its key capabilities include:

Automated Information Gathering: It scours multiple online sources—including text, PDFs, and images—to collect the necessary data.

File Analysis and Summarization: The tool can parse uploaded documents or online resources to extract and summarize key details.

Advanced Data Analysis with Python: An integrated Python execution environment allows for statistical analysis and even generates graphs.

These processes enable users to complete tasks that would traditionally take hours in just 5 to 30 minutes.

1-2. Usage Conditions and Pricing

Currently, Deep Research is available exclusively for users on the ChatGPT Pro plan, which costs $200 per month and permits up to 100 queries per month. Plans to extend this feature to Plus and Team tiers are reportedly underway.

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2. How to Use Deep Research: Use Cases and Prompt Examples

The power of Deep Research lies in its sophisticated analytical abilities. Below are some concrete use cases along with sample prompts you can try.

2-1. Market Research

Use Case:
Deep Research is ideal for analyzing market trends and compiling statistical data. For example, you can ask it to review changes over the past few years in metrics such as GDP rankings, mobile operating system penetration, and language-learning trends. The tool can then present the findings in a table format, providing valuable insights for strategic planning.

Prompt Example:
"Please research the top 10 GDP countries and emerging markets over the past five years. Analyze the adoption rates of iOS and Android, language learning tendencies, and changes in mobile penetration. Present the data in a table and include a brief summary of the latest market trends."

2-2. Social Listening

Use Case:
Deep Research can scan social media platforms to gauge public sentiment. For instance, you might want to analyze the latest social media posts about a service like "PayPay" and categorize positive and negative opinions.

Prompt Example:
"Collect the latest social media posts regarding 'PayPay' and categorize the main positive and negative opinions. Then, produce a report that highlights potential areas for improvement and emerging trends. Please provide the output in Japanese."

2-3. Corporate Strategy Analysis

Use Case:
This feature can also be used to deeply analyze a company’s business strategy, including market positioning and competitive comparisons. For example, you can have it review recent strategic moves by a company like Coca-Cola Japan and compare them with competitors.

Prompt Example:
"Analyze Coca-Cola Japan's business strategy over the past three years, including changes in their market positioning and a comparison with competitors. Present your findings in a detailed report format."

2-4. Other Applications

Social Media Account Analysis: Evaluate posting trends and the performance of popular posts on your own or others’ social media accounts.

Academic or Technical Research: Summarize and compare the latest academic papers or technical documents on a specific topic.

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3. Tips for Crafting Effective Prompts

Maximizing the potential of Deep Research depends on how well you craft your prompts. Consider the following tips:

3-1. Be Specific and Clear

Use the 5Ws and 1H: Clearly state who, what, when, where, why, and how. This helps the AI narrow down the information it needs to retrieve.

Example:
"A friend from Poland is visiting Tokyo during the day on a weekday. Please propose five tour plans that cater to his love for sweets, and present the plans as a bulleted list."

3-2. Specify the Output Format

Be Clear About the Format: Indicate if you want the output as a table, a list, or with graphs, ensuring the final report meets your needs.

3-3. Set a Role for the AI

Assign a Role: For instance, “You are an expert market researcher. Based on the latest trends, please produce a detailed report.”

3-4. Provide Context or Exclude Certain Sources

You can also instruct the tool to avoid specific websites to ensure the reliability of the output.

3-5. Use Feedback to Refine Your Prompt

Start with a basic prompt, review the output, and then ask follow-up questions or adjust the prompt to address any missing details.

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4. Conclusion

ChatGPT’s Deep Research feature harnesses cutting-edge AI technology to automate complex research tasks that previously took hours. Whether you need insights for market research, social media analysis, or corporate strategy evaluation, this tool can generate detailed, actionable reports based on well-crafted prompts. By following the tips and examples provided above, you can enhance your productivity and make more informed decisions in your professional or academic endeavors.

Try Deep Research with your Pro plan and experience firsthand how this powerful tool can transform your research process.

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This guide is intended to help you unlock the full potential of ChatGPT’s Deep Research feature and streamline your research tasks effectively. Enjoy exploring the possibilities!