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Do better research with NotebookLM

Three years ago google launched NotebookLM as an experimental AI product from Google Labs to help you understand anything. Millions of people and organizations turn to NotebookLM as a collaborative knowledge and research partner because it helps them organize their thinking, identify deeper connections across their documents and spark new ideas. Today we’re introducing across the board upgrades to NotebookLM that deliver new agentic capabilities in chat and more advanced reasoning to tackle the most complex research projects.

An upgraded, more thoughtful chat experience

First, we’re upgrading NotebookLM to run on Gemini 3.5 and Antigravity providing even more accurate and reliable information along with better visibility into the thinking process.

Each notebook is now equipped with a secure cloud computer, enabling NotebookLM to write and run code useful for helping you perform deeper research and more complex analysis. The system includes more than 100 curated software skills, unlocking a wide range of new capabilities to help you more deeply understand the sources in your notebook.

In our side-by-side evaluations against our prior system, the upgraded NotebookLM achieved an average win rate of over 65% (a 15% point margin above parity) across our top five core evaluation dimensions. The system demonstrated substantial improvements in large document analysis, securing a 69.9% win rate and achieved exceptional performance in advanced web research and source discovery reaching a 78.2% win rate against our prior baseline.

More output formats, with improved customization

You can now ask NotebookLM to create outputs in even more formats and provide detailed instructions to guide the outputs. NotebookLM will assemble the context from your sources to produce useful and high quality formats like PDF reports with charts and tables, detailed budget spreadsheets, and bespoke student worksheets — all ready to download directly from the studio panel. You can even make edits after your outputs are generated. New output formats include:

Data visualizations and charts (png, svg)
Documents (PDFs, docx, markdown, text files)
Images with Nano Banana (png, jpg, gif)
Structured data (csv, json)
Microsoft Excel (xlsx)
Microsoft PowerPoint (pptx)

We plan to add additional formats in the future to help make NotebookLM more helpful in more ways.

More effortless research

Finally, we’re making it easier to get your research started. Previously, NotebookLM was most helpful when you came with your own sources and a good handle on your project. You can now start with loose ideas and questions. NotebookLM can guide you through building your source repository directly in your chat, making it even easier to get started on any project. Perhaps you want to find primary sources in other languages to better understand new perspectives, or you’re seeking related works by an author you recently discovered. It can even use Google Search to find relevant, high quality sources from the web and add them to your notebook.

You’re still in control of the sources that you add to your notebook so that your work stays grounded in the information you trust and all sources continue to be clearly attributed.

Posted on: 6/9/2026 9:03:00 AM


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