Google announced today that NotebookLM, its AI-powered research tool, is being renamed Gemini Notebook. The move drops the awkward “language model” suffix and explicitly folds the product into Google’s flagship Gemini brand — while promising deeper capabilities and a broader reach across the Google ecosystem.
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From Project Tailwind to Gemini Notebook
The tool has been through a few names already. It debuted at I/O 2023 as Project Tailwind, became NotebookLM shortly before launch, and now lands on Gemini Notebook. Alongside the rename, the current logo picks up the familiar blue-and-purple Gemini gradient.
Google is careful to frame this as more than a cosmetic change: Gemini Notebook stays a “standalone product focused on being your premier research tool,” but will now “do more across the Google ecosystem.”
Reaching Across Google’s Products
Notebooks are already available inside the Gemini app for organizing chats and collecting work. Next, they’re coming to Google Search’s AI Mode, extending the research workflow to where many people already start their queries.
A Real Compute Upgrade for AI Pro Users
The bigger news is technical. The Gemini 3.5 and Antigravity upgrade that started rolling out to AI Ultra subscribers last month is now heading to AI Pro users. The headline feature: each notebook gets its own secure cloud computer that can natively write and execute code, enabling “complex data analysis grounded in your sources.”
Google promises “entirely new output formats and deeper analysis” from this, moving Gemini Notebook well beyond summarizing documents into genuine data-analysis territory. It’ll reach all Google AI Pro users on the web “over the coming weeks.”
Momentum Behind the Rebrand
Google also shared some scale numbers that help explain the investment:
| Metric | Figure |
|---|---|
| Active users | 30 million+ |
| Organizations | 600,000+ |
The Takeaway: The rename to Gemini Notebook is more than branding — it signals Google positioning its research tool as a first-class Gemini product, complete with per-notebook cloud compute for real code execution and data analysis, plus tighter integration into the Gemini app and Search’s AI Mode.
