NotebookLM is now available in Gemini notebooks starting today.

      NotebookLM is now integrated into Gemini, signifying a change in how Google approaches personal research within its AI tools. Starting today, users can access their existing notebooks directly within the app, eliminating the need to toggle between different products.

      This enhancement builds on last year’s feature that allowed notebooks to be used as sources. With this update, saved materials are available alongside chats and prompts, enabling real-time usage rather than merely being stored away.

      Previously held conversations can now be included in collections for reuse, strengthening the connection between research and chat. Gemini increasingly resembles a system that retains context throughout various tasks.

      The rollout begins on the web for Google AI Ultra, Pro, and Plus subscribers, with mobile support and broader access expected soon. However, Google has not provided a timeline for free users.

      Most AI chatbots offer basic “projects,” but Gemini has now created a second brain for users. 🧠Introducing Notebooks, incorporating some of the functionalities from @NotebookLM directly into @GeminiApp. Here’s what changes for you today:📚 Upload 100 sources for free📂 Organize your chats – the… pic.twitter.com/0oeo9B5grA— Josh Woodward (@joshwoodward) April 8, 2026

      How Gemini utilizes stored materials

      The most significant change is how Gemini manages saved materials. Rather than being static references, collections now serve as live context during conversations. Once chosen, their contents automatically influence responses, reducing the need for repetitive inputs.

      Google

      This builds on the strengths of NotebookLM, which effectively grounded outputs in user-provided content. Now, this functionality operates within the same interface, linking responses directly to documents or research sets without requiring additional steps.

      Google is also enhancing how sources function. Existing chats can be incorporated into collections, allowing past interactions to serve as reusable input. Research and conversations can now mutually support each other over time.

      Why this is a game-changer for AI workflows

      This development shifts Gemini closer to a comprehensive workspace rather than just a basic chatbot. Merging NotebookLM with the core experience minimizes friction between saving information and utilizing it.

      Additionally, it reflects a broader trend toward memory and continuity in AI tools. Instead of starting anew each time, the system can leverage a growing collection of materials, altering how longer projects are managed.

      Google

      There is, however, a downside. The quality of responses is still contingent on how well that material is organized; thus, disorganized inputs may hinder effectiveness.

      What to keep an eye on next

      The rollout is currently limited, targeting higher-tier subscribers on the web. Mobile support and wider access are anticipated, but specific timing remains uncertain.

      If Google enhances this integration further, Gemini could become a key hub for research-intensive workflows, increasing the pressure on competitors to offer consistent context and document-aware responses.

      For now, this update indicates a clear trajectory. Gemini is transforming into a tool for ongoing projects, not just immediate answers, with its next phase linked to broader rollout and feature equivalence.