OpenAI has rolled out Deep Research for all ChatGPT Plus subscribers. What does this mean? Well, your work is about to become much easier with this powerful AI research agent. Having tried research features offered by competitors like Gemini, Grok 3, and Perplexity, I can confidently say OpenAI’s Deep Research feature is THE BEST! Let’s explore more about it in this blog!
Table of contents
What is Deep Research Mode?
Deep Research Mode is an AI model designed to conduct multi-step research on the internet. Unlike traditional models that provide quick answers, Deep Research Mode takes a more thorough approach. It can spend up to 30 minutes or more on a single query, allowing it to discover, synthesize, and reason through vast amounts of information. This extended research time enables the model to produce detailed, well-cited reports that are as good as those produced by human analysts.
Key Features of Deep Research Mode
- Comprehensive Research: Deep Research Mode goes beyond simple searches. It opens web pages, reads through content, and even analyzes images, tables, and PDFs to gather information. This multi-step process ensures that no stone is left unturned.
- Adaptive Reasoning: The model adapts its research plan as it uncovers new information. This dynamic approach allows it to refine its search parameters and focus on the most relevant data.
- Long-Form Output: Deep Research Mode produces comprehensive reports that include detailed analysis, formatted tables, and clear recommendations. Users can specify the format and structure of the output, making it highly customizable for various use cases.
- Latency-Free: By removing latency constraints, Deep Research Mode can take the time needed to produce high-quality results. This is a significant departure from traditional models that prioritize speed over depth.
Also Read: 5 Ways to Use ChatGPT’s Scheduled Task Feature
How it Works?
Deep Research Mode is powered by a fine-tuned version of OpenAI’s upcoming o3 reasoning model. It uses end-to-end reinforcement learning on hard browsing and reasoning tasks, enabling it to plan and execute multi-step trajectories. The model can browse user-uploaded files, perform calculations, create images and plots, and even embed these elements in its final response. It cites specific sentences and passages from its sources, ensuring that the information is both accurate and verifiable.
Humanity’s Last Exam
Deep Research performed exceptionally on Humanity’s Last Exam, a benchmark from the Center for AI Safety and Scale AI, which tests models’ capabilities across a wide range of expert subjects. It achieved an impressive 26.6% accuracy, setting a new high score and demonstrating its advanced reasoning and research abilities.
| Model | Accuracy (%) |
|---|---|
| GPT-4o | 3.3 |
| Grok-2 | 3.8 |
| Claude 3.5 Sonnet | 4.3 |
| Gemini Thinking | 6.2 |
| OpenAI o1 | 9.1 |
| DeepSeek-R1* | 9.4 |
| OpenAI o3-mini (medium)* | 10.5 |
| OpenAI o3-mini (high)* | 13.0 |
| OpenAI deep research** | 26.6 |
* Model is not multi-modal, evaluated on text-only subset.
**with browsing + python tools
GAIA
Deep Research achieved a top performance on the test, reaching an accuracy of 26.6%. This result placed it significantly ahead of other models, showcasing its superior capability in reasoning and complex task execution
Expert Level Tasks
In an internal evaluation of expert-level tasks across a range of areas, deep research was rated by domain experts to have automated multiple hours of difficult, manual investigation.
Also Read: OpenAI’s Operator – ChatGPT Like Moment for AI Agents
How to Access Deep Research Mode?
Deep Research Mode is now available for all ChatGPT Plus and Pro subscribers. All you have to do is open a new chat, click on the “Deep research” icon, and get started!
Also Read: OpenAI o3-mini: Performance, How to Access, and More
Let’s Try OpneAI’s Deep Research
Task 1 : Website SEO Analysis
Prompt: “Give me strategies to improve traffic on Analytics Vidhya Blog -www.analyticsvidhya.com/blog/ . I am looking at organic traffic growth (SEO and Content). Target audience – GenAI and Data Science professioanls / Enthusiasts. Challenges – AI overview, too much dependce on Google, position loss on Google.”
Output:
Observation:
OpenAI provided a comprehensive and well-structured analysis addressing your specific challenges. Here’s my evaluation of their response:
- Thorough coverage of multiple SEO and content strategies specifically tailored to GenAI and Data Science audience
- Clear organization with 6 main sections covering different aspects (Advanced SEO, Content Diversification, Authority Building, Alternative Traffic Sources, Search Intent Optimization, and Case Studies)
- Evidence-based recommendations with specific citations from authoritative sources
- Practical implementation advice rather than just theoretical concepts
- Addressed all your stated challenges directly:
- AI content saturation (with E-E-A-T optimization strategies)
- Google dependency (with multi-channel distribution approaches)
- Search ranking issues (with technical SEO and authority building tactics)
Task 2: Salary Report for Generative AI Professionals
Prompt: “I want to write a report on Salaries in Generative AI Domain. I want breakdown – country-wise, work experience, skills, and even industries. Countries: Global; Experience Levels: All; Skills: All; Industry: All; Sources: All available sources. Add graphs where necessary.”
Observation:
Detailed salary comparisons across multiple regions including the US, UK, Western Europe, India, China, Canada, Singapore, Japan, Australia, and Israel provide comprehensive insights for AI professionals. These comparisons include in-depth cost-of-living adjustments and regional variations within countries, offering a nuanced understanding of compensation differences. The analysis features thorough experience-based salary breakdowns with specific figures, allowing professionals to benchmark their earnings against industry standards.
Additionally, specialized skill-specific salary insights cover high-demand areas like NLP, prompt engineering, reinforcement learning, and AI ethics. The information spans detailed industry-wise salary trends across tech, finance, healthcare, startups, and academia, supported by numerous citations to specific sources. The package is complemented by helpful visualization suggestions and key takeaways that make the complex compensation landscape more accessible to data science and AI professionals.
Applications of Deep Research Mode
Deep Research Mode has a wide range of applications across different domains:
Product Research
Prompt: “Help me find iOS and android adoption rates, % who want to learn another language, and change in mobile penetration, over the past 5 years, for top 10 developed and top 10 developing countries by GDP. Lay this info out in a formatted report, a table on metrics, and include recommendations on markets to target for a new translation app from ChatGPT, focusing on markets ChatGPT could better expand into“
Prompt: “Penetration as a percentage, and look at overall usage. Make your best assumptions on the rest!”
Purchase Research
Prompt: “I want to buy some skis, for skiing in Japan. Format this as a report with a nice table at the end.”
Knowledge Work
For enterprises and professionals, Deep Research Mode can streamline processes and enhance productivity. It can be used for market research, academic studies, and even day-to-day tasks that require extensive web browsing. For example, a product manager can use it to gather data on market trends, consumer preferences, and competitive analysis, all within a matter of minutes.
Consumer Use
Deep Research Mode is not just for professionals; it can also be incredibly useful for consumers. Imagine needing to make a significant purchase, like buying a new set of skis. Deep Research Mode can scour the internet for reviews, specifications, and user feedback, providing a comprehensive report that helps you make an informed decision.
Academic Research
In academic settings, Deep Research Mode can assist researchers in finding and synthesizing information from various sources. It can help in identifying relevant papers, analyzing data, and even suggesting new research directions. This can significantly reduce the time and effort required for literature reviews and data analysis.
You can find some of these applications here.
Conclusion
Deep Research Mode represents a significant advancement in AI-driven research. It will be interesting to see how people utilize Deep Research Mode once it becomes available to Plus users in the coming weeks. This feature could potentially streamline complex research tasks and provide valuable insights across various domains.
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Hello, I am Nitika, a tech-savvy Content Creator and Marketer. Creativity and learning new things come naturally to me. I have expertise in creating result-driven content strategies. I am well versed in SEO Management, Keyword Operations, Web Content Writing, Communication, Content Strategy, Editing, and Writing.
