Google is consolidating its AI product lineup by renaming NotebookLM to Gemini Notebook, marking another step in the company's effort to unify its artificial intelligence tools under a single brand umbrella. The rebrand comes alongside a significant feature upgrade that lets users write and execute code directly within notebooks for complex data analysis, expanding the tool's capabilities beyond its original research-focused mission.

What Is Gemini Notebook and Why Does the Rebrand Matter?

NotebookLM debuted at Google I/O in 2023 as Project Tailwind before launching as a standalone product. Over the past three years, it has grown into a widely adopted research tool used by over 30 million people and more than 600,000 organizations. The rebrand to Gemini Notebook reflects Google's broader strategy of tying experimental AI products to its main Gemini brand once they mature. The new name is also more user-friendly than the technical "language model" terminology, making it clearer what the tool does for everyday users.

The rebrand doesn't change Gemini Notebook's core identity as a research tool. Instead, it signals Google's intention to integrate the product more deeply across its ecosystem. Notebooks are already available within the Gemini app for organizing chats and collecting work, and they will soon be accessible through Google Search's AI Mode, giving users multiple entry points to the tool.

What New Features Are Coming to Gemini Notebook?

The most significant update is the introduction of code execution capabilities. Each notebook now functions as a secure container where users can write and run code to perform complex data analysis directly within their sources. This feature leverages the Gemini 3.5 model and an upgrade called Antigravity, which began rolling out to AI Ultra users last month. The code execution ability enables users to tap into multiple sources and create interactive outputs without leaving the tool.

Google is also emphasizing "entirely new output formats and deeper analysis" as part of this upgrade. The feature is currently available to Google AI Ultra paid plan users and Workspace business customers with AI Ultra Access and AI Expanded Access. Pro users will gain access to this capability over the coming weeks.

How to Use Gemini Notebook for Research and Data Analysis

• Upload Multiple Source Types: Add documents, PDFs, YouTube transcripts, lecture slides, and other text-based materials to create a comprehensive research notebook that the AI can reference and analyze.
• Generate Interactive Summaries: Use Audio Overviews to convert dense research materials into engaging podcast-style summaries, or create Mind Maps to visualize how concepts connect across your sources.
• Execute Code for Analysis: Write and run code directly within your notebook to perform data analysis, create visualizations, and generate interactive outputs grounded in your source materials.
• Access Across Google Products: View and manage your notebooks within the Gemini app, and soon access them through AI Mode in Google Search for seamless research workflows.

How Has NotebookLM Influenced the Broader AI Market?

NotebookLM's success has inspired competitors and startups to develop similar capabilities. Since its launch, other companies have added podcast generation features and research tools that allow users to interact with source materials in new ways. The tool's ability to transform long-form content into consumable formats has resonated particularly with students, researchers, and professionals who need to process large volumes of information efficiently.

One notable use case has emerged among users who leverage NotebookLM to consume educational YouTube videos more effectively. Rather than watching hour-long lectures or interviews passively, users upload video transcripts and use the tool to extract key insights, ask targeted questions, and generate alternative formats like audio overviews. This workflow addresses a real pain point for people whose attention spans have been reshaped by short-form content consumption.

The tool's design philosophy emphasizes preserving user agency and creativity. Unlike some AI tools that generate content from scratch, Gemini Notebook grounds all outputs in user-provided sources, reducing the risk of hallucinations and ensuring that generated content remains traceable and verifiable. Users can hover over citations to quickly verify claims against the original materials.

What Does This Rebrand Signal About Google's AI Strategy?

The NotebookLM-to-Gemini Notebook transition is part of a larger pattern at Google. The company has consistently launched experimental AI products under distinct names, then consolidated them under the Gemini umbrella as they mature and gain traction. This approach allows Google to test ideas in the market while maintaining a unified brand identity for consumers and enterprises. The rebrand also positions Gemini Notebook as a core productivity tool rather than a niche research product, aligning it with Google's broader push to integrate AI across Workspace and search products.

By adding code execution and expanding integration points across Google's ecosystem, the company is signaling that Gemini Notebook will play a central role in how users interact with information and perform analysis. The tool's evolution from a research assistant to a data analysis platform with interactive capabilities reflects the growing demand for AI tools that can handle complex, multi-step workflows while remaining grounded in user-provided context.