Google announced today that NotebookLM, its AI‑driven research assistant built on the Gemini model, now automatically labels and categorizes sources. The feature kicks in when a notebook reaches five sources, at which point the system scans each entry, groups related items and assigns topical labels. If a single source spans multiple subjects, the engine can apply more than one label, keeping the organization flexible.

Users retain full control. Labels can be renamed, rearranged or personalized with emojis, and any automated tag can be overridden with a custom one. Google says the update is designed to shrink the time researchers spend scrolling through unorganized piles of material.

Alongside the labeling upgrade, NotebookLM simplifies collaboration. Previously, sharing a notebook required entering each recipient’s email address by hand—a tedious process for large teams. The new workflow accepts a pasted list of addresses, parses them automatically and adds the appropriate collaborators in one step. The change applies to all notebooks, whether they belong to individual users or groups.

Both enhancements are rolling out now and should reach every NotebookLM user within days. The updates arrive as Google continues to deepen the integration between NotebookLM and Gemini. The notebook feature set recently moved into Gemini Notebooks, and projects are now free for all Gemini users on the web, giving a broader audience access to the tool’s AI‑assisted workflow.

Industry observers see the moves as part of Google’s strategy to make AI‑powered productivity tools more intuitive and collaborative. By handling mundane tasks like labeling and bulk sharing, NotebookLM lets users focus on analysis and insight generation rather than administrative overhead.

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