Google Renames NotebookLM to Gemini Notebook, Expanding Cross-Source Research

Google has renamed NotebookLM as Gemini Notebook, placing its source-grounded research tool more directly inside the Gemini ecosystem. The change is more than a new label. Google is connecting notebooks with Gemini and Google Search, documenting broader source engagement through Deep Research and Expert Intelligence, and adding the ability to run code in notebooks for eligible higher-tier users.

For teams that assemble information from documents, web pages, spreadsheets, presentations and specialist publications, the direction is clear: Gemini Notebook is intended to become a workspace for combining sources rather than treating each source as a separate research task. The practical value depends on the quality and permissions of the material a user adds, but the product is moving toward a more connected knowledge workflow.

What changes with Gemini Notebook

In its July 16, 2026 announcement, Google's official Gemini Notebook update confirmed that NotebookLM continues under the Gemini Notebook name. Google described the change as part of a wider integration with Gemini tools and surfaces, including the Gemini app and Google Search.

The renamed service retains the notebook model: users bring together sources and ask questions based on that supplied material. Google Help documentation describes supported and discoverable sources across the web, Google Drive, Gemini Chats and other surfaces. Examples include web URLs, YouTube videos, PDFs, ePub files and Drive content. In relevant contexts, the documentation also references Google Docs, Sheets, Slides and Google Play Books content.

Google uses Expert Intelligence to describe a source-engagement framework that helps people work with trusted sources. The related announcement says this begins with eligible Google Play ebooks in Gemini Notebook, allowing readers to combine authors' expertise with other sources in a notebook. Eligibility matters. The available material does not establish that every Play Books title can be used in this way.

Google Play Books has separately introduced Book insights, a Gemini-powered feature for select English ebooks. It provides summarization, highlighting and contextual questions inside Play Books. That feature is not itself a Gemini Notebook release, but it shows how Google is applying Gemini capabilities to published book content across products.

Deep Research and code execution

The integration also brings two distinct capabilities into focus. Deep Research is described in Gemini Notebook documentation as an agentic source-browsing capability. In practical terms, it is designed to help users find and engage with information sources as part of a research workflow, rather than only asking questions about a static set of files.

Google has also announced code execution directly inside notebooks through a secure cloud computer. At launch, this is initially available to Google AI Ultra users and Workspace AI Ultra Access, with rollout to Pro users planned in the following weeks. Google has not supplied pricing details in the material provided here, so organizations should check their current Gemini or Workspace plan before treating code execution as an available capability.

What this means for business knowledge work

Gemini Notebook's cross-source approach can be useful when a team needs to bring together its own operational material with external reference information. For example, a manager might use a notebook to examine internal planning documents alongside web resources or an eligible ebook, while keeping the research discussion tied to the selected sources.

Potentially useful applications include:

• Combining Google Drive files with web sources for project research.
• Using specialist books, where eligible, alongside internal reference material.
• Exploring information held across Docs, Sheets and Slides in a single source-centered workflow.
• Running code in a notebook when the required tier is available and the task benefits from computation.

This does not remove the need for human review. A response can only be as reliable and complete as the sources, access permissions and prompts behind it. Businesses should also confirm which source types and features are enabled for their accounts, especially where Play Books eligibility and higher-tier code execution are involved.

For companies trying to understand how their expertise appears when people turn to Gemini and other AI assistants, Scalevise's AI Visibility and GEO Checker can identify where important brand information is visible, missing or unclear. That insight helps teams prioritize content and source improvements instead of guessing how AI-mediated research may represent their business. Start an AI Visibility scan to find the gaps worth addressing.

Frequently Asked Questions

What is Gemini Notebook?

Gemini Notebook is Google's new name for NotebookLM. Google says the notebook tool continues under the Gemini Notebook name with deeper connections to the Gemini ecosystem.

What is Expert Intelligence in Gemini Notebook?

Google documentation references Expert Intelligence as part of Gemini Notebook's source-engagement framework. Google's announcement says it starts with eligible Google Play ebooks, enabling users to combine authors' expertise with other sources.

Can Gemini Notebook use Google Drive and web sources?

Google Help documentation describes source engagement involving the web, Google Drive, Gemini Chats and other surfaces. Supported examples include web URLs, YouTube, PDFs, ePub files and Drive content.

Who can run code in Gemini Notebook?

Google said code execution through a secure cloud computer is initially available to Google AI Ultra users and Workspace AI Ultra Access. A rollout to Pro users is planned in the coming weeks.

Conclusion

The Gemini Notebook rebrand signals Google's effort to make source-grounded research a more connected part of Gemini. Its expanding source options, Deep Research framework and tiered code execution could make it more useful for research-heavy work, while Play Books integration points to a broader role for trusted authored content. Availability remains feature and plan dependent, so organizations should validate access before building workflows around the new capabilities.