What Is Gemini Notebooks? How Google's New Feature Compares to Claude Projects and ChatGPT
Gemini Notebooks lets you organize chats, add files, and sync with NotebookLM. Learn how it stacks up against Claude Projects and ChatGPT memory.
Organizing AI Conversations Is Now a Three-Way Race
AI chat tools have gotten powerful fast. But powerful doesn’t always mean organized. If you’ve used ChatGPT, Claude, or Gemini for any length of time, you’ve probably hit the same wall: a mess of unrelated conversations, no easy way to group related chats, and context that disappears the moment you open a new thread.
Google’s answer to that problem is Gemini Notebooks — a feature that lets users organize Gemini conversations into named workspaces, attach files, and connect to Google’s NotebookLM for deeper research workflows. It’s a direct response to Claude Projects and ChatGPT’s own organizational features, both of which launched in the past year.
This article breaks down what Gemini Notebooks actually does, how it compares to what Anthropic and OpenAI offer, and which option makes the most sense depending on how you work.
What Gemini Notebooks Actually Is
Gemini Notebooks is a workspace feature inside Google’s Gemini platform. Instead of treating every conversation as a one-off interaction, Notebooks lets you group related chats under a single named container — similar to how you’d use folders in Google Drive.
Within a Notebook, you can:
- Start and save multiple conversations related to a specific project or topic
- Upload files — documents, PDFs, and other source material — that Gemini can reference across chats within that Notebook
- Connect to NotebookLM, Google’s research-focused AI tool, to turn your Gemini sessions into structured notes or deeper research sessions
- Return to previous conversations without losing context
The feature is available to Gemini Advanced subscribers (part of Google One AI Premium). It’s not a standalone product — it’s built directly into the Gemini interface at gemini.google.com.
The NotebookLM Integration
This is probably the most interesting differentiator. NotebookLM is a Google product designed specifically for working with source documents — you upload PDFs, research papers, or notes, and it helps you analyze and synthesize them. The Gemini Notebooks connection means you can move fluidly between open-ended AI conversation and structured document research without switching tools.
That’s a workflow most productivity-focused users will actually care about — especially anyone doing research, writing long-form content, or managing complex projects with a lot of reference material.
How Claude Projects Works
Anthropic launched Claude Projects in mid-2024, and it remains one of the more thoughtful implementations of persistent AI workspaces.
A Claude Project is a named container that holds:
- A persistent conversation history across sessions within that project
- Uploaded files (documents, code, data) that Claude can reference throughout the project
- Custom instructions — a project-level system prompt that shapes how Claude behaves within that workspace
The custom instructions piece is significant. You can tell Claude to always respond in a particular format, assume a specific role, or follow rules relevant to that project. For example, a marketing team might set up a project where Claude always writes in their brand voice, or a developer might configure a project where Claude always responds with code comments included.
Claude Projects is available to Claude Pro subscribers and Claude Team plan users. The context window within a project can retain a substantial amount of conversation history, though there are limits depending on how much you’ve uploaded.
What Makes Claude Projects Stand Out
The ability to set project-level instructions is genuinely useful. It saves the repetitive step of re-explaining context at the start of every conversation. If you work in a specific domain — legal, technical writing, product development — you can configure a project once and have Claude behave consistently across all sessions within it.
The file handling is also solid. Claude handles PDFs, text files, code files, and more, and can reason across multiple uploaded documents simultaneously.
How ChatGPT Handles Persistent Context
OpenAI has approached the organization problem in two ways: Memory and Projects.
ChatGPT Memory
Memory is ChatGPT’s cross-conversation feature. When enabled, ChatGPT learns things about you over time — your preferences, your job, how you like responses formatted — and applies that context to future conversations automatically. You can view what ChatGPT remembers, delete specific memories, or turn the feature off entirely.
Memory is broad but shallow. It’s useful for personalizing responses across unrelated conversations, but it doesn’t give you the structured workspace that Notebooks or Projects provides.
ChatGPT Projects
OpenAI rolled out ChatGPT Projects in late 2024 and early 2025. Like Claude Projects, this is a named container that groups related conversations and lets you attach files. Key features include:
- Persistent file access — upload documents once and reference them across multiple chats within the project
- Custom instructions at the project level — similar to Claude’s approach
- Conversation history that persists within the project
- A pinned sidebar in the ChatGPT interface for quick access
ChatGPT Projects is available to Plus, Pro, and Team subscribers. Enterprise and Edu users also have access.
One notable difference: ChatGPT’s Memory can work in conjunction with Projects, so the AI carries both project-specific context and your general preferences simultaneously. That layered approach is unique to OpenAI’s implementation.
Side-by-Side Comparison
Here’s how the three features stack up across the dimensions that matter most for everyday use.
| Feature | Gemini Notebooks | Claude Projects | ChatGPT Projects |
|---|---|---|---|
| Named workspaces | Yes | Yes | Yes |
| File uploads | Yes | Yes | Yes |
| Custom instructions | Limited | Yes (per project) | Yes (per project) |
| Cross-session memory | Within Notebook | Within Project | Project + global Memory |
| External tool integration | NotebookLM | None native | None native |
| Availability | Gemini Advanced | Claude Pro / Team | Plus, Pro, Team |
| Model used | Gemini 1.5 Pro / 2.0 | Claude 3.x (varies) | GPT-4o / o-series |
| Starting price | $19.99/month (Google One AI Premium) | $20/month (Pro) | $20/month (Plus) |
Where Gemini Notebooks Has an Edge
The NotebookLM integration is a genuine advantage for research-heavy workflows. No other AI assistant has a built-in connection to a dedicated document research tool. If your work involves synthesizing large volumes of source material — academic papers, legal documents, market research reports — Gemini’s ecosystem is currently the most integrated option.
Gemini also benefits from deep Google Workspace connectivity. If your team lives in Google Docs, Drive, and Gmail, Gemini Notebooks slots naturally into that environment.
Where Claude Projects Has an Edge
Claude’s custom instructions system is more flexible and granular. The ability to write a detailed system prompt at the project level — specifying tone, format, domain knowledge, and behavioral rules — gives power users more control over how the AI behaves. Claude also tends to perform well on nuanced writing tasks and long-document analysis.
For teams doing complex knowledge work — research, legal, technical writing — Claude Projects offers more configurability per workspace.
Where ChatGPT Projects Has an Edge
The combination of project-level context and global Memory is hard to replicate. ChatGPT effectively learns your working style over time and applies it within structured workspaces simultaneously. For individual power users who work across many different project types, that layered context is valuable.
OpenAI also has the broadest model selection within Projects — you can use GPT-4o, the o-series reasoning models, or others depending on your task.
Which One Should You Actually Use?
The right answer depends on how you work, not which platform has the flashiest feature list.
Choose Gemini Notebooks if:
- You’re already in the Google ecosystem (Gmail, Drive, Docs)
- Your work involves research and you want NotebookLM integration
- You value deep integration with Google Search and real-time information
Choose Claude Projects if:
- You need precise, configurable AI behavior within each workspace
- Your work is writing-intensive or requires consistent tone and format
- You want the most control over project-level instructions
Choose ChatGPT Projects if:
- You want both project organization and persistent personal memory
- You switch between different types of work frequently and want the AI to know your preferences broadly
- You use OpenAI’s reasoning models (o1, o3) for complex analytical tasks
None of these is objectively better. They reflect different philosophies about what persistent AI context should mean.
Going Beyond Notebooks: Building Actual AI Workflows
Notebooks, Projects, and Memory are all useful — but they’re fundamentally conversation organizers. They help you find past chats and add some persistent context. They don’t automate anything, trigger actions, or connect to external systems on their own.
If you need AI to actually do things — not just remember things — that’s a different problem, and it’s where MindStudio comes in.
MindStudio is a no-code platform for building AI agents and automated workflows. Where Gemini Notebooks helps you organize your conversations with Gemini, MindStudio lets you build agents that use Gemini, Claude, GPT-4o, and 200+ other models to complete multi-step tasks automatically — no conversation required.
Here’s a concrete example of where that matters: Say you’re using Gemini Notebooks to manage research for a weekly report. With Notebooks, you still have to manually read through sources, prompt Gemini with questions, and compile findings yourself. With a MindStudio agent, you could automate the entire pipeline — pull sources, summarize them, format the output, and deliver it to Slack or Google Docs — on a schedule, without touching a prompt.
MindStudio connects to 1,000+ integrations including Google Workspace, Notion, Slack, HubSpot, and Airtable. You can build an agent in 15 minutes to an hour using the visual builder, and you don’t need to write code. You also get access to all major AI models — Gemini, Claude, GPT, and more — without managing separate API keys or accounts.
You can try MindStudio free at mindstudio.ai.
If you’re interested in how AI agents compare across different use cases, the MindStudio blog covers AI agent workflows in depth — including how to pick the right model for the right task.
Frequently Asked Questions
What is Gemini Notebooks and how do I access it?
Gemini Notebooks is a workspace feature inside Google Gemini that lets you group conversations, upload files, and connect to NotebookLM. You access it directly at gemini.google.com. It’s available to Gemini Advanced subscribers, which is included in the Google One AI Premium plan at $19.99/month.
How is Gemini Notebooks different from NotebookLM?
They’re separate products with different focuses. NotebookLM is built specifically for working with uploaded source documents — it helps you analyze, cite, and synthesize research material. Gemini Notebooks is a general-purpose conversation organizer that can connect to NotebookLM. Think of Gemini Notebooks as the conversational workspace and NotebookLM as the specialized research layer.
Does Claude Projects remember things across all conversations?
No — context in Claude Projects is scoped to the project. Within a project, Claude retains conversation history and file context across sessions. But if you start a new project or a standalone conversation, that context doesn’t carry over. Claude doesn’t have a global memory feature equivalent to ChatGPT’s Memory.
Can ChatGPT Projects and Memory work at the same time?
Yes. ChatGPT’s global Memory and project-specific context can operate simultaneously. This means ChatGPT can know your general preferences (from Memory) while also applying project-specific files and instructions. It’s one of the more layered context systems among the three platforms.
Which AI notebook feature is best for research?
Gemini Notebooks has an advantage here because of its direct integration with NotebookLM. For research-heavy workflows involving large volumes of source documents, that combination is hard to beat. Claude Projects is also strong for document analysis, particularly if you need precise formatting or reasoning about complex text. ChatGPT Projects works well too, but doesn’t have a dedicated research companion tool.
Are these features available on free plans?
Not fully. Gemini Notebooks requires Gemini Advanced (paid). Claude Projects requires a Pro or Team subscription. ChatGPT Projects requires Plus, Pro, or Team. ChatGPT’s basic Memory feature is available on the free plan in limited form, but full project functionality is behind a paywall for all three platforms.
Key Takeaways
- Gemini Notebooks organizes Gemini conversations into named workspaces with file support and NotebookLM integration — best for Google-ecosystem users and research-heavy workflows.
- Claude Projects offers the most configurable project-level instructions, making it ideal for teams that need consistent AI behavior across writing or technical tasks.
- ChatGPT Projects combines workspace organization with global Memory, giving individual users the most layered persistent context across different types of work.
- All three are paid features, starting around $20/month, with broadly similar core functionality.
- If you need AI to act — not just remember — building automated workflows with a platform like MindStudio takes you further than any notebook feature can.
The competition between these platforms is good news for users. Organizational features that would have seemed remarkable two years ago are now table stakes. The real question is which ecosystem fits your existing tools and workflows — and whether you need AI that organizes conversations or AI that completes tasks on your behalf.
