How do you access DeepResearch in ChatGPT, and are there any prerequisites or settings to enable it?

To access enhanced research capabilities in ChatGPT (often referred to as “DeepResearch” in some contexts), you typically need a ChatGPT Plus subscription or access to enterprise/API features. There is no standalone “DeepResearch” mode, but advanced functionalities like web browsing, code interpreter, or plugin integration enable deeper research. These tools allow ChatGPT to pull real-time data, analyze code, or access specialized databases. For example, enabling the “Browse with Bing” feature lets the model retrieve up-to-date information from the web, while the code interpreter can process datasets or run calculations. These features are not enabled by default and require manual activation in your settings.

Prerequisites include a paid ChatGPT Plus subscription, which grants access to beta features like plugins and advanced tools. To enable these, navigate to your account settings in the ChatGPT interface, select “Beta Features,” and toggle the tools you need, such as web browsing or plugin support. If you’re using the API, certain functionalities may require specific parameters, like setting tools=[{"type": "web_browsing"}] in API calls. Developers should also ensure compliance with usage policies—for instance, web browsing is restricted to non-commercial purposes and may block certain domains. Additionally, plugins often require explicit installation from the plugin store and may need API keys for third-party services (e.g., connecting to a research database).

For practical use, suppose you want ChatGPT to analyze a recent scientific study. First, enable “Browse with Bing” to let it fetch the paper’s abstract. Next, use the code interpreter to upload a CSV dataset related to the study and generate visualizations. If the task involves a niche domain, like legal research, you might install a plugin like “ScholarAI” to access academic journals. These steps illustrate how combining ChatGPT’s built-in tools can simulate a “DeepResearch” workflow. Keep in mind that performance depends on clear prompts—specify whether you need data analysis, real-time info, or domain-specific insights. Always verify outputs, as automated tools may occasionally return incomplete or outdated information.