The primary users of Deep Research include professionals engaged in knowledge work, such as market analysis, scientific research, and medical inquiries, as well as individuals seeking assistance with personal projects like travel planning.

The impact of Deep Research is profound, enabling tasks that previously took hours to be completed in minutes, thus allowing users to engage in more complex or numerous tasks.

Most users of Deep Research utilize it for professional purposes, including academics and consultants, but it also serves personal use cases like shopping and travel recommendations.

Deep Research is particularly effective for detailed queries that require extensive reading and understanding of web content to provide accurate answers.

Deep Research was developed to tackle tasks requiring extensive online research and reasoning, enabling users to efficiently gather information and make informed decisions across various domains.

Deep Research is designed to save users significant time, potentially giving back 10% to 25% of their work time, depending on the type of tasks they perform.

Deep Research allows users to generate comprehensive reports on topics of interest, significantly enhancing their learning experience.

Personalized education is a promising use case for Deep Research, as it can compile information on topics users want to learn about, creating tailored reports to aid in their understanding.

Deep Research has been surprisingly popular for coding tasks, helping users with code searches, documentation, and script writing, which was not initially anticipated as a primary use case. It also excels at synthesizing information and finding specific, hard-to-locate facts on the internet, especially when given detailed descriptions of what users want.