NotebookLM, Google’s deep-research and AI note-taking tool beloved by professionals and students alike, has officially undergone a rebrand. To align its naming with the rest of Google’s AI product lines, the service has been officially renamed “Gemini Notebook”, effective immediately.
Beyond the fresh name, Google is also delivering underlying performance upgrades and several new features. The most eye-catching addition is the ability to natively write and execute code.
Native Code Execution Turns the Notebook into a Data Analysis Hub
This upgrade is far more than a new sign on the door. In fact, Google is granting Gemini Notebook a substantive leap in productivity:
- Native code execution: This is the headline feature of the update. Users can now write and run code directly within the notebook platform. Consequently, the AI can perform complex data analysis based purely on the private research materials a user has uploaded and collected. There is no longer any need to hop between developer tools or external environments.
- Google Search AI Mode integration (coming soon): Google also previewed a forthcoming bridge to search. In the future, users will be able to carry their Gemini Notebook content directly into Google Search’s AI Mode. As a result, personal knowledge bases will connect seamlessly with the wider web’s search results.
Past 30 Million Users, Fully Folded into the Gemini Ecosystem
According to Google’s latest official figures, Gemini Notebook (formerly NotebookLM) enjoys remarkable traction. The service has accumulated more than 30 million individual users. In addition, over 600,000 businesses and organizations have adopted it.
Truthfully, the rebrand surprised nobody in the market. Google already integrated the tool deeply into the Gemini app back in April. Promoting it from “NotebookLM,” a name steeped in Google’s experimental-lab flavor, to “Gemini Notebook” sends a clear signal. Although the product still operates independently, the move fully demonstrates Google’s resolve to unify its AI brand identity.
Shedding the Lab Label to Build a Personal “AI Data Lab”
The renaming of NotebookLM marks Google’s AI strategy entering a mature phase of consolidation and unification.
Historically, Google loved launching a kaleidoscope of codenames and standalone AI services for different scenarios think of the early Bard, Duet AI, or the countless Labs projects. Meanwhile, rival Microsoft unified all of its AI services under the single “Copilot” banner and captured enormous brand mindshare. Google has evidently absorbed the lesson about focus. Accordingly, the company is now accelerating the effort to gather every generative AI resource and name under the “Gemini” umbrella.
More importantly, native code execution shatters the old perception of the tool. Gemini Notebook is no longer merely a fancy notepad that summarizes documents and answers questions. Instead, it effectively becomes a private “AI data lab.” Researchers, analysts, and corporate employees who wrestle with mountains of literature and data can now work inside a secure sandbox that never leaks confidential material. There, the AI writes code against internal documents and produces analytical charts. Undoubtedly, this will sharply raise the tool’s irreplaceability in both commercial and academic markets.
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