The name change brings NotebookLM under Google’s Gemini branding without removing the standalone app. Google said Gemini Notebook will remain focused on research, but will also operate across more of the company’s AI ecosystem.
“It remains a standalone product focused on being your premier research tool, but it will now do more across the Google ecosystem, including inside the Gemini app and Google Search,” Google said.
The more substantial update is a new capability that gives each notebook a secure cloud computer. Google says this allows Gemini Notebook to write and execute code natively, enabling users to run more advanced data analysis grounded in the materials they have added to a notebook.
That feature is available today for Google AI Ultra users and Workspace business customers with AI Ultra Access and AI Expanded Access. Google said it will roll out to all Pro users on the web over the coming weeks.
The code-execution upgrade changes the product’s role from a source-grounded summarization tool into something closer to a research and analysis workspace. Instead of only generating explanations or summaries from uploaded materials, Gemini Notebook can now support more complex outputs and analysis tied to those sources.
Google is also expanding where notebooks can be used. Users can already create and access notebooks inside the Gemini app, with syncing between the Gemini app and the standalone Gemini Notebook product. Google said notebooks will also come to AI Mode in Search soon.
That integration could make notebooks more visible to users who start research inside Google Search rather than a separate app. It also gives Google a way to connect personal or work materials with its broader AI interfaces, while keeping the notebook experience anchored to user-provided sources.
The rebrand reflects Google’s larger effort to consolidate its AI products under the Gemini name. For NotebookLM users, the immediate change is not just branding. The addition of native code execution and tighter links to Gemini and Search suggest Google is treating the product less like an experimental research assistant and more like a core part of its AI productivity stack.
This analysis is based on reporting from Google.
Image courtesy of Google/CNET.
This article was generated with AI assistance and reviewed for accuracy and quality.