Google is making NotebookLM smarter about how you organize your research by automatically labeling and categorizing your sources. The update addresses a real pain point for anyone juggling multiple documents: when you have more than five sources in a notebook, NotebookLM now assigns relevant labels without requiring you to manually tag each one. If sources overlap across multiple topics, the tool assigns multiple labels to sort them more effectively, making it easier to find what you need in research-heavy workflows.

Why Does Auto-Labeling Matter for Your Research Workflow?

Anyone who has built a large research notebook knows the problem well. You're constantly adding new sources as you discover them, but manually categorizing each one becomes tedious and time-consuming. The larger your notebook grows, the worse the problem becomes. With 10 or more sources, finding the right document becomes like searching through a filing cabinet without an index.

NotebookLM's new auto-labeling feature kicks in automatically once you cross the five-source threshold, eliminating the need for manual tagging. For research-heavy workflows, this can save significant time and reduce the friction of keeping your notes organized as your project grows.

How to Organize and Customize Your NotebookLM Sources

• Auto-Labeling: NotebookLM automatically assigns relevant category labels to your sources when you have more than five documents in a notebook, eliminating manual tagging work.
• Custom Labels: You can rename, reorganize, and personalize labels using emojis for better visual understanding and quick identification of source categories.
• Override Suggestions: If NotebookLM assigns a label you disagree with, you can manually reassign a source to a different category that better fits your research needs.
• Multi-Topic Tagging: When sources overlap across multiple topics, the tool assigns multiple labels to ensure comprehensive categorization and easier discovery.

The customization options give you flexibility while the automation handles the heavy lifting. You're not locked into NotebookLM's suggestions; you can personalize everything to match how you actually think about your research.

What Else Is Changing in NotebookLM?

Beyond source organization, Google is also streamlining how you share notebooks with teams. Instead of manually entering each email address when sharing a notebook, you can now paste an entire email list and NotebookLM will parse the recipients' addresses automatically. For anyone coordinating research across large teams or groups, this eliminates the tedious copy-paste work that used to slow down collaboration.

Both features are rolling out now and should be available to all NotebookLM users soon. The NotebookLM team is also considering adding label and categorization support for better output organization, though this feature may take longer to arrive.

These updates reflect Google's broader strategy with NotebookLM: making the AI notebook less about flashy features and more about solving real friction points in how researchers and knowledge workers actually use the tool. By automating the organizational grunt work, NotebookLM becomes less of a note-taking app and more of a research assistant that handles the administrative overhead so you can focus on the actual analysis and writing.