Google Gemini Notebook Expands Into AI Mode Search With Cross-App Notebook Syncing

Google has renamed NotebookLM to Gemini Notebook, integrating it with Gemini Apps and AI Mode in Google Search to enable cross-app notebook syncing. The update also introduces a secure cloud computer for native code execution, initially available to AI Ultra and eligible Workspace users. This positions the research tool more tightly within the Gemini ecosystem, allowing users to create, edit, and sync notebooks across multiple surfaces.

Google has renamed NotebookLM to Gemini Notebook https://scalevise.com/resources/notebooklm/ , positioning its source-grounded research tool more tightly within the Gemini ecosystem. The change is accompanied by notebook syncing across Gemini Apps, Gemini Notebook, and AI Mode in Google Search, giving users more ways to create, organize, and revisit research projects without treating each interface as a separate workspace. The rebrand is more than a logo change. According to Google's Gemini Notebook announcement https://blog.google/innovation-and-ai/products/gemini-notebook/notebooklm-gemini-notebook/ , the service remains a standalone research tool but is intended to do more across Google's products. Google is also rolling out an upgrade that assigns each notebook a secure cloud computer for native code execution. That capability is initially available to Google AI Ultra users and eligible Google Workspace customers, with a planned expansion to Pro users in the following weeks. For enterprises already using Google Workspace and Gemini, the important development is the connected notebook workflow . Teams can keep projects, conversations, and source collections associated with a notebook while moving between Gemini interfaces. But the rollout is broad rather than universally identical at every moment: Google describes phased access for cloud-enabled capabilities, and mobile access may require users to update the relevant app. Google's documentation describes notebooks as shared objects across Gemini Apps https://scalevise.com/resources/gemini/ , Gemini Notebook, and the Gemini app. Users can create, edit, and sync notebooks between those interfaces, with their associated sources remaining accessible. In practical terms, this lets a research effort begin in one Gemini surface and continue in another without recreating the source set. AI Mode in Google Search https://scalevise.com/resources/google-ai-mode-desktop-search-shortcuts/ adds a search-led entry point. Users can create and manage notebooks within AI Mode, and those notebooks automatically sync across AI Mode, Gemini, and Gemini Notebook. This matters because search research, document-based analysis, and conversational assistance often occur in separate tools. Google's approach connects those activities around the notebook rather than around a single chat thread. The integration is not a complete two-way record of every interaction. Google's help documentation says notebooks sync across the three surfaces, but Gemini and Gemini Notebook chats do not sync back to AI Mode . That distinction is significant for teams that need to understand where a conclusion originated and which interactions form part of the accessible record. | Workflow element | AI Mode in Google Search | Gemini and Gemini Notebook | |---|---|---| | Create and manage notebooks | Supported | Supported across Gemini interfaces | | Notebook syncing | Syncs with AI Mode, Gemini, and Gemini Notebook | Shares notebooks and sources across the connected workspace | | Chat syncing back to AI Mode | Does not receive Gemini or Gemini Notebook chats | Gemini and Gemini Notebook chats do not sync back to AI Mode | This is not necessarily a limitation for every use case, but it should shape process design. A team using AI Mode for discovery and Gemini Notebook for deeper source work should not assume that the AI Mode view provides a full audit trail of later Gemini conversations. Where provenance, review, or retention requirements apply, teams should determine which interface is the system of record for a given workflow. Google's new cloud-enabled capability gives each notebook a secure cloud computer that can run code natively. This extends Gemini Notebook beyond organizing and reasoning over sources into tasks that may require computation. Google has described the initial availability as limited to AI Ultra users and Google Workspace customers with AI Ultra Access or AI Expanded Access, followed by a broader rollout to Pro users. That staged availability means organizations should separate two decisions: adopting the connected notebook workflow and enabling cloud-based code execution. The first is tied to the wider rename and integration rollout. The second depends on a customer's plan and Google's phased release schedule. Treating them as distinct capabilities can help technology leaders avoid assuming that all users receive the same functionality simultaneously. Google emphasizes source-grounded responses and privacy terms for notebook content. Those attributes are relevant to enterprise governance https://scalevise.com/resources/ai-governance/ , but they do not remove the need for internal controls. The new cross-interface model increases the number of places where users can initiate work on the same notebook, making clear ownership and operating practices more important. Organizations evaluating Gemini Notebook should focus on three practical questions: The broader strategic implication is that Google is making notebooks a common layer between search and Gemini. Rather than competing as an isolated note-taking destination, Gemini Notebook is becoming a workspace that carries context across Google AI products. Its value for a business will depend less on the new name than on whether teams can establish repeatable, governed ways to collect sources, conduct analysis, and share outcomes. For businesses, connected AI research can reduce context switching, but it also makes fragmented ownership and unclear data-handling practices more costly. Scalevise can help assess where Gemini Notebook and AI Mode fit within your existing research, governance, and AI adoption processes, then define practical controls for the workflows that matter most. Explore our AI consultancy for governed AI implementation https://scalevise.com/contact and request a consultation. What is Gemini Notebook? Gemini Notebook is Google's new name for NotebookLM. Google says it remains a standalone research tool while becoming more integrated across Google products. Can Gemini Notebook notebooks be used in AI Mode in Google Search? Yes. Google says users can create and manage notebooks in AI Mode, with notebooks syncing across AI Mode, Gemini, and Gemini Notebook. Do Gemini chats sync back into AI Mode? No. Google states that chats from Gemini and Gemini Notebook do not sync back to AI Mode, even though the notebooks themselves sync across the connected interfaces. Who can use Gemini Notebook's cloud computer capability? Google says the native code execution capability is initially available to Google AI Ultra users and eligible Google Workspace customers with AI Ultra Access or AI Expanded Access. A rollout to Pro users is planned in the following weeks. Google's Gemini Notebook rollout makes the former NotebookLM a more connected part of its AI ecosystem, linking source-based research with Gemini and AI Mode in Google Search. The shared notebook model can make research workflows more continuous, while the chat-sync boundary and phased cloud-computer access give enterprises concrete details to consider before standardizing how teams use the tool.