Supercharge your research & learning with this new AI tool.

We’ve been loving Deep Research and thought it deserves its own post, with examples of how it can be useful for you.

What is it?

Deep Research works like a professional research assistant. In a few minutes, it provide incredibly detailed reports (with citations) that would take a human days of research. It breaks your request into smaller steps, then does a “deep” search of the web, scanning dozens of sites simultaneously. Then it leverages GPTs new “reasoning” models to synthesize the information into a final report. The results are much more in-depth and useful than just using ChatGPT, and the cited sources are great for digging deeper into topics.

How to Use It

Unfortunately, OpenAI put this feature behind a $200 / month “Pro Plan” pay wall. After using the Pro Plan for a month, we can confidently say that it's an excellent tool for those who require advanced capabilities on a daily basis. However, for users with less intensive needs, the Free or Plus versions may be more suitable, especially considering that OpenAI has announced plans to roll out DeepResearch to these lower-tier plans in the coming months.

Fortunately, Deep Research isn’t exclusive to Open AI. You can try Perplexity’s Version for free here. Its not as in depth- but still very useful. We’ll likely OpenAI’s main competitors roll out similar features in the coming months.

Example Use Case

To illustrate the power of Deep Research- the task was to come up with a report on the top use cases for AI adoption for commercial P&C brokers. Here was the original prompt:

Below you can see how Deep Research asks clarifying questions to further understand the task at hand.

The UI allows you to follow Deep Researchers “train of thought” as it collects information from credible sources. It referenced a total of 24 sources in this example:

Example Outputs

Here’s a link to the final report OpenAI’s Deep Research came up with in ~4 minutes.

And here’s a link to Perplexity’s version using the exact same prompt in ~3 minutes.

Additional Use Case Ideas

• Targeted Sales Strategy:

  • Use deep research to segment the market and tailor product pitches to specific customer profiles.

  • Leverage similar insights to identify client-specific risk exposures and suggest proactive coverage adjustments.

• Competitive Positioning:

  • Analyze competitor offerings and reviews to create compelling, differentiated proposals.

  • Use research to benchmark client coverages against market standards and advise on optimizing risk management strategies.

• Emerging Risk & Trend Identification:

  • Monitor industry trends (e.g., climate, cyber risks) to pitch innovative, future-proof insurance solutions.

  • Apply this research to offer timely, tailored advice on mitigating new risks and adjusting coverage accordingly.