Google has begun integrating Deep Research capabilities into NotebookLM, as seen by the addition of a new option within the sources tab. This interface includes a search box, a selector to switch between web and Google Drive sources, and a Deep Research toggle. This development effectively brings the Deep Research experience, previously seen in Gemini, into NotebookLM, allowing users to streamline the process of finding sources and bringing relevant research content directly into their notebooks.
The feature seems to be in the early development phase, so it may be a while before general users gain access. Those who frequently organize or summarize research materials, such as students, academics, and professionals, will likely find value here, as it promises a more efficient workflow for gathering, filtering, and embedding research findings. The Deep Research functionality, known from Gemini, typically involves surfacing in-depth, contextually relevant information rather than simple search results, which can save users substantial time in verifying and synthesizing sources.
The option will likely appear within the existing sources management area in NotebookLM, acting as a bridge between external research discovery and internal note-taking.
Google is also preparing to add a new “tutor” option to the chat configuration settings in NotebookLM. This feature appears targeted at learners and students, suggesting that Google wants to expand NotebookLM beyond its current note-taking and research capabilities into a more active learning assistant. While the specifics aren’t fully detailed yet, enabling a “tutor” mode in chat could introduce guided explanations, step-by-step walkthroughs, or question-driven learning, making the AI more responsive to educational needs.
The new tutor setting would likely be accessible in the chat configuration panel, sitting alongside any other available modes. For students or anyone looking to use NotebookLM as a learning companion, this could mean more interactive support when working through complex topics or assignments.
For Google, this move is consistent with their ongoing strategy to unify Gemini-powered AI features across productivity tools, promoting deeper integration of generative AI within the Google Workspace ecosystem. Given the early state of development, no timeline for release has been confirmed, but the planned functionality suggests a future where users can expect less friction when incorporating rich, diverse research into their notes, something many have been hoping to see in NotebookLM for some time.
