Google combines NotebookLM and Gemini — what this means for business
In April 2025, Google took a step that changes the familiar logic of working with AI tools: NotebookLM capabilities are now built directly into the Gemini app. There is no longer a need to switch between two services — everything is in one place.
For Russian entrepreneurs and marketers who already use AI at work, this is not just an interface update. It is a new model for working with information: research, documents, sources, and content generation in a single workspace.
In this article, we will look at how the Gemini + NotebookLM combination works and show specific business use cases.
What NotebookLM is and why it matters
NotebookLM is a free AI assistant from Google built on Gemini models. Its main feature is working with your own sources. You upload documents, PDF files, website links, videos, or notes, and NotebookLM analyzes exactly those rather than relying on general knowledge from the internet.
This fundamentally sets it apart from a regular chatbot. When you ask a question, the system refers to specific passages in your uploaded materials. No guesswork — only what is in the sources.
Previously, NotebookLM was a separate service. Now your notebooks (Notebooks) are available directly from the left sidebar of the Gemini app, sync in real time, and extend Gemini’s capabilities with a new level of context.
How the integration works: the essentials in 2 minutes
After the update, a Notebooks section appeared in the Gemini interface in the side menu. Here is what it offers in practice:
- Unified history — chats from Gemini and research from NotebookLM are stored together and not lost.
- Notebook context in any chat — by clicking “Add files,” you connect the needed notebook to the current conversation with Gemini.
- Agent memory — notebooks extend Gemini’s “memory,” allowing it to rely on your specific data when generating answers.
- Instructions for each notebook — in settings, you can define the tone, format, and behavior of the model separately for each project.
5 practical scenarios for entrepreneurs and marketers
1. A knowledge base for a product or market
Create a notebook and upload: market reports, competitor research, internal presentations, and CustDev interview results. Now, while working in Gemini, you can ask questions in the context of exactly this data — without the risk of getting a generic answer with no substance.
Example query: “Based on the uploaded interviews: what are the main objections customers mention when making a purchase?”
2. Content marketing with up-to-date data
AI models are trained up to a certain date and do not know about the latest product updates, new case studies, or fresh statistics. The solution is to create a notebook with up-to-date sources using NotebookLM’s deep research feature, and then write content in Gemini based on that notebook.
Example: notebook with the latest cases of AI implementation in Russian retail → Gemini writes a blog article with fresh examples.
3. Long-term projects without losing context
Think of notebooks as project folders. One notebook — one project: a tender, a product launch, an advertising campaign. All materials, chats, and conclusions are stored together. A month later, you open the notebook and instantly return to the context.
4. Team training and onboarding
Upload policies, sales scripts, service standards, and FAQ into a notebook. A new employee gets an AI assistant that answers strictly according to your internal documents, not based on “best practices from the internet.”
5. Preparing for negotiations and presentations
Before an important meeting, create a notebook: upload everything you know about the client — their website, public reports, news, previous correspondence. Ask Gemini to prepare a list of likely questions, arguments tailored to their pain points, and a brief company summary.
How to set up a notebook: step-by-step instructions
- Open the Gemini app (gemini.google.com).
- In the left menu, find the Notebooks section and click “Create new”.
- Give the notebook a clear name — for example, “Competitive Analysis Q2 2025”.
- Add sources: PDFs, website links, text, files from Google Drive.
- In the notebook settings (three dots → Notebook settings), enable notebook memory.
- If desired, add instructions: “Respond briefly and to the point,” “Use a business tone,” “Always cite the source.”
- Start working in Gemini — if needed, connect the notebook to the chat using the “Add files” button.
What is not yet integrated (and where NotebookLM is still needed directly)
Some of NotebookLM’s studio features still work only on the original website (notebooklm.google.com): audio overviews, slides and mind maps, and video overviews.
Recommended approach: use NotebookLM for deep research and studio content, and Gemini for generating text and quickly working with data from those same notebooks.
Gemini + NotebookLM vs. alternatives
| Criterion | Gemini + NotebookLM | ChatGPT + Projects | Notion AI |
|---|---|---|---|
| Working with your sources | ✅ Strong point | ✅ Yes | ✅ Yes |
| Links to specific fragments | ✅ Yes | ⚠️ Partially | ❌ No |
| Audio/video overviews | ✅ Unique | ❌ No | ❌ No |
| Price | Free (basic) | Paid (Plus) | Paid |
| Russian language | ✅ Good | ✅ Good | ⚠️ Limited |
Conclusion: how to implement this in your work today
The Gemini + NotebookLM combination is most valuable where accuracy and alignment with specific data matter. This is especially relevant for Russian business: the market is specific, and generic answers often do not work.
Start small: create one notebook for your biggest pain point right now — competitive analysis, a product knowledge base, or an archive of client interviews. After just a week of work, you will feel the difference between “AI in general” and “AI that knows your business.”
FAQ
Is NotebookLM free?
Yes, the basic version is available for free. Advanced features (more sources, priority access) are included with the Google One AI Premium subscription.
Does NotebookLM work in Russian?
Yes. You can upload Russian-language documents and have conversations in Russian — the answer quality is high, although the interface is in English by default.
What is the difference between a notebook and a regular chat in Gemini?
A regular chat does not retain uploaded files between sessions. A notebook permanently stores all sources, chat history, and settings — it is a long-term project, not a one-off request.
Can NotebookLM be used for team collaboration?
For now, collaboration capabilities are limited. For team AI with a shared knowledge base, it is worth considering specialized solutions or custom implementations based on a RAG architecture.
Is a VPN needed to access it in Russia?
Google services may be unavailable without a VPN. We recommend checking availability and using a reliable VPN if necessary.