According to @NotebookLM, the Deep Research feature in NotebookLM has now been officially rolled out to 100% of users, enabling advanced AI-powered source discovery and research capabilities. This update allows users to leverage artificial intelligence for comprehensive analysis, information extraction, and synthesis directly within their research workflow, streamlining the process for professionals across academia, business, and technology. The widespread availability of this feature positions NotebookLM as a competitive AI tool for increasing productivity and accuracy in information gathering (source: @NotebookLM on Twitter, Nov 18, 2025).

According to NotebookLM on Twitter, the newly launched Deep Research feature utilizes AI to browse hundreds of websites, automatically generating organized research reports and providing an annotated list of sources for deeper exploration (source: @NotebookLM, Nov 13, 2025). This advancement streamlines research automation by integrating seamless information gathering and citation management, aimed at knowledge workers, students, and businesses seeking efficient, trustworthy research solutions. Deep Research presents significant business opportunities for AI-driven research assistants, targeting the growing demand for reliable content curation and productivity tools in the digital economy.

According to @perplexity_ai, workspace admins can now leverage the Model Context Protocol (MCP) beta to build custom deep research connectors. This empowers organizations to integrate proprietary systems and various third-party apps, enabling teams to search, reason, and act on internal knowledge alongside web results and pre-built connectors (source: @perplexity_ai, 2024-06). Available to Team, Enterprise, Edu admins, and Pro users, this advancement opens new business opportunities for organizations seeking to enhance AI-driven knowledge management and workflow automation.