Google renames NotebookLM to Gemini Notebook with Search and Deep Research integration

Google has dropped the NotebookLM name and relaunched the tool as Gemini Notebook, according to a dev.to article covering the change. The rebrand, announced by Google on July 16, 2026, goes beyond a new label: the research tool that grounds its answers in user-supplied material is being woven into the broader Gemini ecosystem, with connections to the Gemini app and Google Search, plus new capabilities including Deep Research and in-notebook code execution.

What the rename changes

The core notebook workflow survives. Users still collect sources and ask questions answered from that material rather than from a model's general knowledge. According to Google Help documentation cited in the article, supported sources include web URLs, YouTube videos, PDFs, ePub files and Google Drive content, with Google Docs, Sheets, Slides and Play Books material referenced in relevant contexts. Sources can also be discovered from Gemini Chats and other surfaces.

The bigger shift is positioning. NotebookLM operated as a standalone product; Gemini Notebook is documented as syncing across the Gemini app and Search, moving it from a side tool to a first-class part of Google's AI stack.

Expert Intelligence and Play Books

Google is introducing a framework it calls Expert Intelligence for working with trusted, authored sources. Per the dev.to report, it starts with eligible Google Play ebooks, allowing a reader to combine an author's material with other sources inside a notebook. Eligibility is a real constraint: the documentation does not claim that every Play Books title can be used this way.

Google Play Books has separately shipped Book insights, a Gemini-powered feature providing summarisation, highlighting and contextual questions for select English ebooks. The article notes this is not part of the Gemini Notebook release itself, but it shows Gemini capabilities being applied to published book content across Google products.

Deep Research and code execution

Two functional additions stand out. Deep Research is described in Gemini Notebook documentation as an agentic capability that browses for and engages with information sources as part of a research workflow, rather than only answering questions against a fixed set of uploaded files.

Code execution is also arriving inside notebooks via what Google calls a secure cloud computer. At launch it is available to Google AI Ultra subscribers and Workspace AI Ultra Access customers, with a rollout to Pro users planned for the following weeks. Google has not published pricing details, so the article advises teams to check their current Gemini or Workspace plan before counting on the feature.

Why it matters

The rename signals Google's intent to make source-grounded research a connected part of Gemini rather than a curiosity tucked away in a standalone product. For teams that routinely blend internal documents with web references and specialist publications, Gemini Notebook is becoming a single workspace for cross-source work, and the Search integration means notebook-style research could reach a far wider audience.

The caveats are equally clear. Output quality still depends on the sources, permissions and prompts behind it, so human review remains necessary. Feature access is uneven: code execution is tier-gated, Play Books eligibility is not fully defined in public documentation, and organisations will need to verify what is enabled on their accounts before building workflows around the new capabilities.