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Google is bringing NotebookLM into Gemini, and it could change how you use both
Just a couple of days ago, I wrote about how I wish NotebookLM were easier to pair with other tools. In that piece, I focused on how difficult it is pairing NotebookLM with third-party (non-Google) tools. However, the same point also extends to Google's own ecosystem. While Google's AI chatbot, Gemini, integrates with other Google tools like Keep, Calendar, Gmail, and more (and it works the other way around too), NotebookLM barely connects with anything else. If you want NotebookLM to work with any tool, you need to jump through multiple hoops and do everything manually. Well, it looks like that's about to change -- at least for Gemini users. Users are spotting NotebookLM integration in Gemini Users on Reddit and X (formerly Twitter) have begun spotting that Google is rolling out a NotebookLM integration for Gemini. @SaiNemani1 on X noticed this feature in Gemini and shared that you can add notebooks from NotebookLM directly into the Gemini chat. In another image they shared, it appears a NotebookLM option pops up when you tap the plus (+) icon while in a Gemini thread, alongside the other options: Upload files, Add from Drive, Photos, and Import code. In another image, they uploaded a NotebookLM notebook that seems to be focused on past examination papers from Cambridge IGCSE Biology (a UK-based examination board). They uploaded the notebook to a Gemini thread and then asked: what are the most frequently asked questions from chapter 1 of the syllabus based on the past papers provided. Gemini then responded with an answer based on the content of the notebook. Naturally, a question you might have is: can't you already do this with NotebookLM on its own? That was the first question I had too! With this integration, it seems like you will be able to add multiple notebooks and then query them all at once. NotebookLM currently offers no way to "merge" notebooks, so this integration will effectively let Gemini act as a bridge. You'll also be able to pull in insights from the web while interacting with the content within your NotebookLM notebook (in Gemini), effectively letting you combine your own information with information from across the web. This is something I've been doing by pairing NotebookLM with AI browsers (which comes with an AI chatbot built into the side panel). I found this new NotebookLM feature so good, I might stop using all my other productivity apps Might be time to make NotebookLM my only productivity tool. Posts 2 By Mahnoor Faisal Sep 27, 2025 If this were the other way around, I'd be complaining about how this could lead to hallucinations, which defeats NotebookLM's entire source-grounded approach. However, given that Google seems to be adding NotebookLM to Gemini rather than adding bloat to Gemini itself, it looks like they're keeping the NotebookLM data grounded while giving users a more seamless, cross-tool experience. While there seems to be no official word from Google about this capability just yet, some NotebookLM and Gemini users already appear to be getting access to it. So, it's safe to assume that the integration is in a gradual rollout phase, and more users should be able to try it in the coming days or weeks.
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Google has started rolling out a new way to use NotebookLM
It allows you to use Gemini's latest reasoning models while still being able to jump back to NotebookLM when needed. To say NotebookLM is one of the most powerful and useful AI tools Google has introduced is an understatement. Now, Google is simplifying access to the tool by integrating it directly into Gemini. According to Alexey Shabanov of TestingCatalog, NotebookLM is now available in Gemini, allowing users to attach notebooks for added context to their conversations with the AI chatbot. Shabanov first spotted the feature back in November after we discovered it in an APK teardown, and it seems Google initiated a preliminary rollout for it over the weekend. The tipster reports that they currently have NotebookLM access in Gemini on only one of their five accounts. We also checked, and we don't see an option to add a notebook through Gemini's attachment icon (Plus button) in the text input box on a Pro account. Once available, you should see a NotebookLM option in the attachment sheet, as shown in Shabanov X post embedded above. Selecting the option will allow you to attach a notebook and instruct Gemini to perform actions using the information it contains. This is useful because it lets you take advantage of Gemini's latest reasoning models without ever leaving the Gemini app. You can also jump back to your notebook at any time by tapping the Sources button, which opens the NotebookLM interface. As we noted earlier, the rollout of the feature appears to be limited at present. We expect Google to announce the integration officially once a wider rollout begins.
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Google Gemini just got a big NotebookLM upgrade
NotebookLM is easily among Google's best AI tools. It acts as your personal research and writing assistant, using the strength of AI to summarize and explain information from your uploaded sources. In August this year, reports pointed to Google working on bringing NotebookLM integration to Gemini, combining two of its most powerful AI tools together. Four months later, the feature appears to be going live. TestingCatalog first spotted the NotebookLM integration in Gemini going live over the weekend. With this integration, you can tell Gemini to use a specific NotebookLM notebook as context for your queries. It's also possible to use more than one notebook as a source and use the NotebookLM integration within Gems. After selecting a notebook in NotebookLM as a source, you can use Gemini's reasoning capabilities to gather more information about the subject. For now, the NotebookLM integration only seems to have gone live in Gemini on the web. I don't see the option in the Gemini app for Android, though the web version works fine. Even otherwise, the rollout seems to be a slow one, as it is not live across all my Google accounts. If you are a heavy NotebookLM user, this Gemini integration can speed up your productivity and enhance your productivity. You can directly invoke Gemini and get answers based on your trusted sources. NotebookLM keeps getting better and better The Gemini-NotebookLM integration comes hot on the heels of Google rolling out several improvements to the latter. This includes launching an Ultra NotebookLM tier as part of its AI Ultra plan with higher limits and additional features. That's in addition to the mobile app gaining features like image-based sources, Infographics and Slide Decks support, and the ability to save progress in Audio Overviews. If you have not already, it's time to start using NotebookLM. Google keeps rapidly improving its AI-powered notebook to deliver an even better experience.
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Gemini app adds NotebookLM integration, details Thinking/Pro usage limits
Besides Gemini 3 Flash today, the Gemini app on the web is rolling out a new NotebookLM integration. From the 'plus' menu on gemini.google.com, you should see a new "NotebookLM" item that joins: Upload files, Add from Drive, Photos (introduced in recent weeks), and Import code. This brings up an "Add notebook" picker that lists your recent notebooks with the number of sources and created date included. You can select multiple notebooks, which are then added to the prompt box. This is seeing wide availability today, while you might now get a "NotebookLM" shortcut in the "Settings & help" menu. Meanwhile, Google has updated the Gemini app's usage limits with today's launch. "General access" is available for Gemini 3 Flash without thinking across all tiers. The "Thinking & Pro" models for free users are subject to "Basic access" where "daily limits may change frequently." Those without a subscription will get five Deep Research reports with Thinking. Google AI Pro members get up to 100 prompts per day, while it's 500 with AI Ultra. Finally, Gemini 3 Flash works with the "Your past chats with Gemini" setting in Personal context that previously required a Pro model. It's still "Coming soon to Live," and it remains to be seen whether we will need to wait for a Gemini 3 model to power the feature.
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You can now ask Gemini questions about your NotebookLM notebooks
The NotebookLM integration is currently limited to Gemini on the web. We recently learned that Google was prepping a new feature that would allow users to ask Gemini questions about their NotebookLM notebooks. Although Google still hasn't made anything official, this feature now appears to be rolling out to users. According to recent X posts from Sai Nemani and TestingCatalog, the attachment menu in Gemini on the web now includes a NotebookLM button. This option lets users attach a notebook and ask Gemini questions about the attached notebook to get more relevant responses. TestingCatalog reports that the feature lets users attach multiple notebooks as sources. In addition, the NotebookLM integration works with Gemini Gems, meaning users can create custom AI assistants with expertise on the information in their NotebookLM notebooks. Gemini's NotebookLM integration begins rolling out on the web At the moment, the NotebookLM integration appears to be limited to the web version of Gemini. The attachment button is not available in the Gemini for Android on any of our devices. Availability also seems limited overall, with several users reporting that the feature has yet to appear on their Google accounts. Recommended Videos Google may expand access in the coming days and eventually bring the NotebookLM attachment button to the Gemini app for mobile, but there's no confirmation yet. An official announcement with more details could be right around the corner. Over the last few weeks, Google has introduced several major upgrades for NotebookLM, including support for additional file types, such as Google Sheets, Drive files, images, PDFs, and Microsoft Word documents, along with a significantly larger context window, longer conversational memory, and improved response quality. The NotebookLM mobile app has also picked up several improvements, including support for flashcards and quizzes, as well as broader chat improvements that first rolled out on the web version.
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Google Is Connecting NotebookLM to Gemini, and Your Research Just Got Smarter - Phandroid
Remember when you had to choose between Google's different AI tools like picking a favorite child? That awkward dance between NotebookLM and Gemini might finally be over. Users on Reddit and X have noticed that Google is rolling out a NotebookLM integration for Gemini. The company is testing a "NotebookLM" entry in Gemini's Connected Apps list, sitting right alongside Drive, Gmail, and GitHub. Think of it like giving Gemini access to a personal research library it can actually remember. Instead of treating every conversation like meeting you for the first time, Gemini could pull context from your saved NotebookLM projects and deliver answers grounded in your actual work. APK teardowns show Google is building a dedicated NotebookLM button in Gemini's attachment menu, similar to how you'd attach a Drive file. Users could attach entire notebooks as context in a chat, turning Gemini into something closer to a research assistant that actually knows your project history. For students juggling multiple research papers or professionals managing client documentation, this eliminates the friction of maintaining separate workflows in each app. Google has been moving both directions on this integration. NotebookLM recently gained Deep Research capabilities and Drive integration, pulling it closer to Gemini's web-scale research powers. Meanwhile, Gemini is reaching toward NotebookLM's structured, source-grounded memory. The line between the two services is blurring fast. Right now, the integration lives mostly in enterprise documentation and testing environments. Google mentions NotebookLM Enterprise working within Gemini Enterprise, with support for Gemini 2.5 models, but there's no public timeline for when this hits consumer accounts. Leaks suggest Google plans to keep NotebookLM as a standalone research tool while letting Gemini act as the conversational front end that queries and references your notebooks. This approach positions Gemini as the reasoning brain and NotebookLM as the long-term memory, a structure that mirrors how OpenAI uses projects and custom GPTs but with tighter integration across Google's ecosystem. Whether NotebookLM eventually becomes "Gemini Notebooks" or stays independent depends on how Google balances its AI consolidation strategy against keeping specialized tools for power users.
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New NotebookLM Gemini 3 Integration : Write Plans, Reports, Content & Answers Fast
What if your data could think for you? Imagine a world where your notes, research, and ideas don't just sit idly in a folder but actively collaborate with you to solve problems, create content, and streamline your work. That's exactly what Google's latest update, integrating Gemini AI with Notebook LM -- promises to deliver. This isn't just another incremental improvement; it's a bold leap forward in how we interact with and use our knowledge. By combining Gemini's innovative contextual intelligence with Notebook LM's structured organization, Google has created a tool that doesn't just store your information, it transforms it into actionable insights. The result? A system that feels less like software and more like a personal assistant that truly understands your needs. In this coverage, Julian Goldie explains how this new integration redefines AI-driven knowledge management, offering unprecedented levels of efficiency and personalization. Whether you're a researcher looking to extract insights from dense data, a professional aiming to streamline workflows, or a creative seeking inspiration, this update has something for everyone. You'll discover how Gemini can turn static notebooks into dynamic resources, capable of generating tailored content, answering complex questions, and eliminating repetitive tasks. But the real magic lies in how seamlessly these tools work together, unlocking possibilities that feel almost futuristic. Could this be the beginning of a new era in productivity? Let's unpack the potential. At the core of this update is the synergistic relationship between Notebook LM and Gemini. Notebook LM serves as a centralized hub for your research, documents, and other knowledge assets. Once your data is stored, Gemini can access and process it without requiring repeated uploads or explanations. This eliminates redundancies and allows you to focus on extracting actionable insights from your stored information. For example, if you've created a notebook on fitness research, Gemini can instantly use that data to draft workout plans, answer specific questions, or produce personalized coaching scripts. This integration ensures that your stored knowledge is not merely archived but actively used to enhance productivity. The result is a system where your data becomes a dynamic resource, ready to be applied in real-world scenarios. One of the most significant benefits of this integration is its ability to streamline workflows. By organizing your data once in Notebook LM, you can reuse it repeatedly without duplicating efforts. This feature is particularly valuable for professionals, researchers, and educators who manage large volumes of information. Imagine you're developing a business strategy. You can upload market analyses, project plans, and relevant documents into Notebook LM. Gemini can then draw from this repository to create presentations, draft reports, or provide evidence-based recommendations. This approach not only saves time but also ensures consistency and accuracy in your outputs. By automating repetitive tasks, the integration allows you to focus on higher-level decision-making and creative problem-solving. Unlock more potential in Google Gemini 3 by reading previous articles we have written. The integration also excels in content creation and personalization, making it a versatile tool for a wide range of applications. Notebook LM enables you to structure notebooks around specific topics, such as business strategies, educational resources, or personal goals. Using prompts, you can generate summaries, frameworks, and plans based on the high-quality data stored in your notebooks. Gemini enhances this process by delivering tailored responses and evidence-based content. For instance, if you're building a notebook for fitness coaching, you can include research-backed summaries, beginner workout plans, and nutritional advice. Gemini can then act as a virtual coach, answering questions or generating detailed content customized to your needs. This personalized approach ensures that the AI adapts to your unique goals and requirements, offering a level of flexibility that traditional tools cannot match. The potential applications of this integration are vast, spanning both professional and personal domains. Here are some real-world examples of how this technology can be used effectively: These examples highlight the versatility of the integration, demonstrating how it can be tailored to meet diverse needs, from professional projects to personal endeavors. To fully harness the potential of this update, it's essential to adopt best practices that enhance its functionality. Consider the following strategies: By following these guidelines, you can optimize the integration's performance and achieve more effective results, whether you're managing complex projects or pursuing personal goals. This update is being rolled out gradually, with availability varying by user group. Some advanced features may initially be limited to enterprise accounts, offering enhanced functionality for business users. Google has indicated plans to expand access over time, so it's important to stay informed by monitoring official announcements and updates. As of December 2025, the integration represents a significant step forward in AI-powered tools, with the potential for further enhancements as the technology evolves. Future updates may include additional features, improved accessibility, and expanded use cases, making this tool even more versatile and impactful. The integration of Google Gemini with Notebook LM represents a pivotal advancement in the field of AI-driven knowledge management. By combining robust organizational tools with sophisticated contextual processing, this update enables users to work more efficiently and effectively. Whether you're a professional, researcher, educator, or content creator, this innovation offers a personalized, streamlined approach to managing and using your knowledge. As artificial intelligence continues to evolve, tools like this will play an increasingly vital role in enhancing productivity, creativity, and decision-making. By embracing this integration, you can unlock new possibilities for organizing and applying your knowledge, setting the stage for greater success in both professional and personal pursuits.
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Google AI is rolling out a NotebookLM integration for Gemini, allowing users to attach notebooks directly to conversations. The feature lets you use NotebookLM as a context source while leveraging Gemini reasoning capabilities, effectively bridging two powerful AI tools. Users can now query multiple notebooks at once and combine personal research with web insights.

Google AI has begun rolling out a significant integration that allows users to connect NotebookLM with Gemini, its AI chatbot, fundamentally changing how both tools work together
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. Users on Reddit and X first spotted the feature over the weekend, with TestingCatalog reporting that NotebookLM access appeared in Gemini on at least one of their five accounts2
. The rollout appears gradual and limited, with availability varying across different Google accounts3
.The integration adds a NotebookLM option to the attachment menu on gemini.google.com, accessible through the plus icon alongside existing options like Upload files, Add from Drive, Photos, and Import code
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. When selected, an "Add notebook" picker displays recent notebooks with source counts and creation dates. Users can select multiple notebooks and attach them directly to the prompt box, enabling Gemini to use NotebookLM as a context source for queries1
. This addresses a longstanding limitation where NotebookLM barely connected with other tools, requiring manual workarounds1
.The integration delivers enhanced productivity by letting users ask Gemini questions about notebooks while leveraging Gemini reasoning capabilities
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. Since NotebookLM currently offers no way to merge notebooks, this effectively lets Gemini act as a bridge between multiple research sources1
. Users can also pull insights from the web while interacting with notebook content, combining personal information with broader internet data1
. The feature works with Gemini Gems, enabling users to create custom AI assistants with expertise drawn from their NotebookLM notebooks5
.Related Stories
Google AI has updated usage limits alongside the integration launch. Free users receive "Basic access" with daily limits that may change frequently, including five Deep Research reports with Thinking
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. Google AI Pro members get up to 100 prompts per day, while AI Ultra subscribers receive 5004
. Currently, the NotebookLM integration remains limited to the web version of Gemini, with the attachment button absent from the Gemini app for Android5
. The AI-powered research and writing assistant integration also allows users to tap a Sources button to jump back to the NotebookLM interface at any time2
.This development matters because it addresses a critical gap in Google's ecosystem where NotebookLM functioned in isolation despite Gemini integrating with Keep, Calendar, Gmail, and other Google tools
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. By adding NotebookLM to Gemini rather than the reverse, Google AI preserves the source-grounded experience that defines NotebookLM while creating a more seamless cross-tool workflow1
. For heavy NotebookLM users, this integration can significantly speed up productivity by enabling direct queries based on trusted sources without switching between applications3
. As the rollout expands in coming days or weeks, more users should gain access to this productivity tool enhancement, though Google has yet to make an official announcement2
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