Google has renamed its AI research tool NotebookLM to Gemini Notebook to align it with the company’s flagship AI brand. The update introduces a new coding execution feature for data analysis, currently available to premium and business users.
Google is shifting its artificial intelligence strategy by folding its research product, formerly known as NotebookLM, into the broader Gemini ecosystem. The tool, now officially called Gemini Notebook, will serve as a central component of Google's unified AI brand, reflecting the company’s ongoing effort to streamline its diverse suite of AI services.
New Data Analysis Features
The most significant change accompanying this rebrand is the addition of coding execution capabilities. This allows users to write and run code directly within the platform to perform complex data analysis across multiple documents. By enabling this functionality, Google intends to move the tool beyond simple research and summary tasks toward more interactive, data-driven workflows. This capability is expected to be useful for professionals and researchers who need to manipulate and gain insights from large sets of information without switching between different software applications.
Access and User Base
Since its introduction as Project Tailwind at Google I/O in 2023, the tool has grown to serve a reported user base of over 30 million individuals and 600,000 organizations. To date, the company has added features including video overviews, podcast-style audio summaries, and support for various file formats. The new coding execution feature is currently restricted to subscribers of the Google AI Ultra paid plan and specific Workspace business customers who have AI Ultra or Expanded Access. Google has stated that professional-tier users will receive access to these new functions in the coming weeks.
Strategy and Integration
This update is part of Google’s larger plan to integrate its AI research tools into its main service channels. Users already have the option to access their notebooks through the Gemini app, and the company has signaled plans to bring these features into the AI-driven experience in Google Search. For investors and market observers, this move highlights Google’s strategy to consolidate its various AI experiments into a single, cohesive brand to better compete in the rapidly evolving artificial intelligence market. The company’s success in these efforts will depend on its ability to maintain user engagement as it expands access to these high-end AI features across its wider corporate customer base.