Exploring Deep Research by OpenAI: What to Expect from ChatGPT’s Advanced Model?

Last Updated on: February 7, 2025

The demand for AI-powered research tools is at an all-time high, with businesses, academics, and professionals seeking more than just surface-level responses. On February 2, 2025, OpenAI unveiled ‘Deep Research AI’, a cutting-edge AI agent designed to autonomously conduct multi-step research tasks by synthesising vast amounts of online information. But how does it differ from existing models? Can it challenge competitors like ‘Deep Seek’ AI? Let’s dive into the details of what to expect from this development.

Key Takeaways

What is Deep Research by OpenAI?

Key Features of the Deep Research AI Model

How Deep Research Challenges the newly-launched Chinese ‘Deep Seek’ AI?

Business Use Cases for Deep Research AI

Challenges & Future Scope

Concluding Thoughts

I. What is Deep Research by OpenAI?

Deep research AI is an advanced version of ChatGPT, leveraging OpenAI’s o3 model to perform extensive web browsing, data analysis, and synthesis, delivering comprehensive reports in 5 to 30 minutes.

Unlike standard AI chat models that offer quick summaries, deep research specialises in:

• Autonomous multi-step research – navigating complex queries, compiling structured insights, and generating detailed reports.
• Real-time web exploration – browsing the internet to retrieve the most updated and relevant information.
• Industry-focused intelligence – assisting professionals in finance, science, and engineering with deeper insights.

According to OpenAI, the purpose behind introducing deep research in AI is to enhance the depth and efficiency of AI-assisted research, enabling professionals to conduct detailed analysis in a fraction of the traditional time.

II. Key Features of the Deep Research AI Model

Here’s what makes deep research AI different from its predecessors and competitors:

• Automated Research: Autonomously browses sources, extracts data, and compiles insights without human input.
• Verified Sources: Ensures credible, research-backed citations from trusted databases and journals.
• Industry-Specific Use: Tailored insights for analysts, researchers, scientists, and financial professionals.
• Time-Efficient Reports: Generates structured reports in 5 to 30 minutes, saving research time.

Access and Availability of Deep Research

• Deep research AI studio is initially optimised for Pro users, with up to 100 queries per month. 
• Plus and Team users will gain access next, followed by Enterprise users. 
• OpenAI is also working to expand availability to the UK, Switzerland, and the European Economic Area. 

In the near future, all paid users will benefit from higher rate limits, thanks to a more cost-effective, faster version of deep research powered by a smaller model, ensuring quality results.

III. How Deep Research Challenges the newly-launched Chinese ‘Deep Seek’ AI?

The AI research landscape is becoming highly competitive, with DeepSeek AI emerging as a powerful semantic search and knowledge retrieval tool. However, OpenAI’s deep research is expected to challenge its dominance in several ways:

In fact, deep research in AI achieves a 26.6% accuracy rate on Humanity’s Last Exam, outperforming existing AI research tools in subjects like chemistry, humanities, social sciences, and mathematics, showcasing its ability to seek out specialised information effectively.

You can read more about DeepSeek AI here.

IV. Business Use Cases for Deep Research AI

In today’s fast-paced world, timely, accurate data is essential for decision-making. Deep research AI empowers businesses to gather and analyse data swiftly.

• Market Analysis: Track trends, identify opportunities, and assess risks in real time.
• Financial Assessments: Conduct risk analysis, portfolio evaluations, and forecasting more efficiently.
• Scientific Research & Engineering: Access scientific insights and regulatory updates without manual search.
• Competitive Intelligence: Monitor competitors’ strategies, product launches, and market positioning.
• Regulatory & Legal Research: Stay updated on laws, regulations, and policy changes.
• Healthcare & Pharma Research: Accelerate R&D by analysing medical studies and clinical trials.
• Supply Chain Optimisation: Assess supplier risks and optimise procurement strategies.
• Customer Sentiment Analysis: Refine marketing and products through social media and feedback analysis.
• Investment & VC Analysis: Evaluate market potential, startups, and investment risks.

By reducing research time, businesses gain a competitive advantage, enabling quicker, data-driven decisions.

V. Challenges & Future Scope

Despite its strengths, deep research AI is not without limitations:

• Real-time Data Access: While it improves citation accuracy, it still faces challenges with retrieving up-to-the-minute data from live sources.
• Potential Bias in AI Models: Even with multi-perspective insights, AI models must continuously refine their neutrality to avoid misinformation.
• Enterprise Adoption: Companies may require custom AI tuning to align Deep Research with their business intelligence needs.

In the future, OpenAI Deepresearch AI Agent Tool is expected to:

• Improve real-time internet access for up-to-date research.
• Develop better citation frameworks to enhance trust in AI-generated knowledge.
• Expand customisation features, allowing businesses to fine-tune the AI for industry-specific research.

VI. Concluding Thoughts

The launch of deep research by OpenAI marks a significant leap forward in AI-assisted knowledge generation. Unlike traditional AI models, this tool is designed to go beyond simple search results and deliver structured, multi-perspective, and well-researched insights.

As AI tools continue to transform the landscape of business, academic research, AI software development, and more, they are poised to transform the way professionals engage with data and insights. From market analysis to technical documentation, thes innovations are streamlining workflows and enabling more informed decision-making. Systango as a leading Generative AI company, is at the forefront of innovation, helping businesses harness the power of Generative AI applications through seamless integration of advanced tools like deep research, ensuring organisations stay ahead in an AI-driven world.