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Millions of people have converted to LM notebook Since its launch three years ago, it has been used to study, compile and summarize documents and organize data. Now, NotebookLM has received a major upgrade to become an even better research assistant.
Google said its AI product will gain “new chat agent capabilities and more advanced thinking” to handle more complex research tasks and projects. Below, I’ll detail the new updates coming to NotebookLM, which are rolling out globally now to Google AI Ultra subscribers and Workspace business customers with access to AI Ultra.
Read also: Gemini gets a new notebooks feature that syncs with NotebookLM
Chat gets a big upgrade
NotebookLM’s chat tool is now working Gemini 3.5 and Antigravity to improve accuracy and give a clearer view of its logic and output, which Google said is a highly requested feature.
Each notebook includes a secure cloud computer, so NotebookLM can write and run code for deeper research and analysis. NotebookLM also has over 100 curated programming skills to expand his thinking steps and allow him to create a broader range of results.
More formatting options
NotebookLM can now output answers in a variety of ways. The AI tool will aggregate context from your sources into downloadable and editable elements, including data visualizations (png, svg), documents (PDF, DOCX, Markdown, text), images across Nano Banana (png, jpg, gif), structured data (CSV, JSON), and Microsoft formats (XLSX, PPTX).
Google plans to provide more output formats in the future.
Searching becomes easier and more trustworthy
It’s easier to start searching. With the upgraded NotebookLM, you no longer need a full source repository. NotebookLM can help you build one-of-a-kind ideas, guide source discovery within chat, and use Google search to surface high-quality web sources. You can also choose which sources to add to your search, and each source remains clearly attributed, so results are still based on information you trust.
Read also: NotebookLM’s video overview just got better thanks to a trio of AI models from Google
These changes to NotebookLM are intended to expand real-world use cases. For example, a researcher can integrate messy international datasets, run code to analyze them and produce graphs as well as a PDF report; Technical teams can turn dense specifications into simplified guides and slide decks; Small business owners can combine sales and spending data, then use NotebookLM analysis and reporting to make informed expansion decisions.
All of these changes combine to help you get the most out of your research experience, for better results and a more transparent process.
