What Is Gemini Notebooks? How Google's New Feature Compares to Claude Projects and ChatGPT

Google Just Added Notebooks to Gemini — Here’s What That Actually Means

If you’ve been keeping track of how AI assistants handle persistent context, 2024 and 2025 have been busy. Anthropic shipped Claude Projects. OpenAI added ChatGPT Projects and expanded memory. And now Google has introduced Gemini Notebooks — a feature that lets you organize conversations, attach files, and tie everything into NotebookLM.

But what exactly is Gemini Notebooks? How does it compare to what Claude and ChatGPT already offer? And if you’re trying to decide which platform to build your AI workflow around, which one actually holds up?

This article breaks down all three, feature by feature, so you can make an informed call.

---

What Gemini Notebooks Actually Does

Gemini Notebooks is a workspace feature inside the Gemini app that lets you group chats, files, and context into named collections. Think of it as a folder structure for your AI conversations — but with some smarter behavior underneath.

The core features

When you create a notebook in Gemini, you get:

• Organized chat history — Conversations within a notebook are grouped together, making it easier to find past exchanges on a specific project or topic.
• File attachments — You can upload documents, PDFs, spreadsheets, and other files that Gemini can reference across sessions within that notebook.
• Persistent context — Gemini retains the context of your uploads and prior chats within the notebook, so you don’t have to re-explain your situation every session.
• NotebookLM integration — This is the standout detail. Notebooks can sync with NotebookLM, Google’s AI research and note-taking tool, giving you a connected workspace that spans both products.

The NotebookLM angle is significant. NotebookLM is purpose-built for working with source documents — you upload research, reports, or transcripts, and it lets you ask questions, generate summaries, and explore themes across all of them. Connecting Gemini’s conversational interface to that document intelligence layer is a meaningful combination.

Who it’s for

Gemini Notebooks is aimed at people who use Gemini regularly and want more structure than a flat list of conversations. Researchers, students, writers, and business users who frequently return to the same topics will get the most out of it.

It’s available to Gemini Advanced subscribers (part of Google One AI Premium) and in some cases to Gemini for Workspace users.

---

What Claude Projects Offers

Anthropic introduced Claude Projects in mid-2024, and it’s been one of the more well-regarded implementations of persistent AI context.

How Claude Projects works

When you create a project in Claude.ai, you get:

• A persistent system prompt — You write custom instructions that apply to every conversation in the project. Claude follows these instructions automatically, so you don’t have to repeat yourself about your preferences, role, or context.
• A knowledge base — You can upload files (documents, code, spreadsheets, reference material) that Claude can draw from across all conversations in the project.
• Conversation organization — All chats within a project are grouped together and listed in a sidebar.
• Shared context across sessions — Unlike a standard chat that starts fresh, project conversations inherit the custom instructions and uploaded files every time.

What makes it strong

The custom instructions feature is genuinely useful. You can specify things like your communication style preferences, your role, relevant background on your company or project, and how you want Claude to format responses. That prompt persists across every conversation in the project without you having to copy-paste it in.

The knowledge base works well for document-heavy workflows. If you’re working on a long report, maintaining a codebase, or doing research with specific sources, having those files always accessible inside Claude is a real time-saver.

Claude Projects is available on the Pro, Team, and Enterprise plans.

---

What ChatGPT Brings to the Table

OpenAI’s approach to persistent context has two separate layers: memory and projects.

ChatGPT Memory

Memory is a cross-conversation feature that lets ChatGPT remember facts about you over time. It’s not tied to any specific project — it’s more like a background profile that ChatGPT builds and references automatically.

Examples of what memory might store:

• Your name and job title
• Your preferred response style (e.g., “be concise”)
• Ongoing projects you’ve mentioned
• Tools and languages you use

You can view, edit, or delete individual memories at any time. Memory is available on Plus, Pro, and Team plans (and some free tier users).

ChatGPT Projects

OpenAI added Projects to ChatGPT in late 2024. Like Claude Projects and Gemini Notebooks, it gives you a way to group conversations and files together.

With ChatGPT Projects you get:

• Custom instructions per project — Similar to Claude’s approach, you can write project-specific instructions that apply to every chat.
• File uploads — Documents can be attached and referenced across conversations in the project.
• Conversation grouping — Chats are organized under each project.
• Memory integration — ChatGPT’s existing memory feature works alongside projects, so remembered facts also apply within project conversations.

The combination of persistent memory and project-level context is one of ChatGPT’s distinguishing angles. You get both macro-level memory (who you are) and micro-level context (what you’re working on right now).

---

Side-by-Side Comparison

Here’s a structured look at how the three platforms compare across the features that matter most for productivity and knowledge work.

Feature	Gemini Notebooks	Claude Projects	ChatGPT Projects + Memory
Persistent file uploads	✅ Yes	✅ Yes	✅ Yes
Custom instructions per workspace	⚠️ Limited	✅ Yes (robust)	✅ Yes
Cross-conversation memory	⚠️ Within notebook	✅ Within project	✅ Global + project-level
Integration with external tools	✅ NotebookLM	❌ Limited	✅ (browsing, plugins, DALL·E)
Context window size	✅ Very large (Gemini 1.5+)	✅ Large (200K tokens)	⚠️ Varies by model
Available on free tier	⚠️ Partial	❌ No	⚠️ Memory limited on free
Multimodal file support	✅ Strong	✅ Good	✅ Good
Research document workflows	✅ NotebookLM sync	⚠️ Decent	⚠️ Decent

A few things worth calling out from this table:

Context window: Gemini’s models (1.5 Pro and 2.0 Flash in particular) have very large context windows — up to 1 million tokens in some configurations. This means Gemini can hold a lot of document content in active memory within a conversation. Claude 3.x models support up to 200K tokens, which is still substantial. ChatGPT varies by model.

Custom instructions: Claude’s project instructions are the most structured. You write a detailed system prompt and it applies cleanly to every conversation. ChatGPT offers similar functionality. Gemini Notebooks’ custom instruction capability is less prominent — the focus is more on file organization and NotebookLM sync.

NotebookLM sync: This is Gemini’s unique differentiator. If you already use NotebookLM for research or document analysis, connecting it with Gemini conversations is a workflow that neither Claude nor ChatGPT can match natively.

---

Strengths and Weaknesses of Each

Gemini Notebooks

Best for:

• Users already in the Google ecosystem (Docs, Drive, Gmail)
• Research workflows that combine NotebookLM with conversational AI
• Working with large documents — Gemini’s long context window is a genuine advantage
• Teams on Google Workspace

Limitations:

• Custom instruction controls are less granular than Claude’s
• The feature is still relatively new and maturing
• Full functionality requires a paid Google One AI Premium subscription

Claude Projects

Best for:

• Professionals who want tight control over how the AI behaves within a project
• Writing, editing, and analysis workflows where consistency of tone and behavior matters
• Teams that share projects and want standardized AI interactions
• Document-heavy knowledge work

Limitations:

• No cross-project memory — each project is isolated
• Fewer native integrations with external tools compared to ChatGPT
• Requires a paid plan

ChatGPT Projects + Memory

Best for:

• Users who want the AI to remember them across everything — not just within a project
• Workflows that benefit from integrated tools (image generation, web browsing, code execution)
• Variety seekers who switch between GPT-4o and other models frequently

Limitations:

• Memory can sometimes surface information at unexpected moments
• Project-level custom instructions feel slightly less polished than Claude’s implementation
• Context can feel inconsistent depending on which model version you’re using

---

The NotebookLM Angle: Why It Matters

It’s worth spending more time on the NotebookLM integration because it’s the most distinctive thing Gemini Notebooks brings to the table.

NotebookLM is designed to work with source documents. You upload your research — academic papers, PDFs, transcripts, meeting notes — and it creates an AI assistant that’s grounded specifically in those sources. It won’t speculate or hallucinate beyond what’s in your documents. It cites passages. It can generate study guides, FAQs, timelines, and briefing docs from your sources.

When Gemini Notebooks syncs with NotebookLM, you can use Gemini’s conversational flexibility to explore and extend your research, then ground your outputs back in the source documents via NotebookLM. It’s a two-tool workflow that covers both open-ended ideation and document-grounded analysis.

Neither Claude Projects nor ChatGPT has an equivalent native integration. You can get similar results by uploading documents into both platforms, but you lose the purpose-built document analysis layer that NotebookLM provides.

---

How to Choose Based on Your Workflow

Rather than picking a “winner,” the right tool depends on what you’re actually trying to do.

Choose Gemini Notebooks if:

• You’re a heavy Google Workspace user
• You do research-intensive work and already use or want to use NotebookLM
• You regularly work with very large documents where context window size matters
• You want AI chat and document analysis in a connected ecosystem

Choose Claude Projects if:

• You want precise, consistent AI behavior across a project — especially for writing or analysis
• You’re building internal workflows where AI persona and instructions matter
• You work with a team and want shared project contexts with standardized prompts
• Document-grounded reasoning without as much need for external tool integrations

Choose ChatGPT Projects + Memory if:

• You want long-term memory that follows you across all your conversations
• You need integrated tools like image generation, web browsing, or code execution
• You switch between different tasks frequently and want the AI to remember your overall context
• You’re on a free tier and want some memory capability without a full paid plan

---

Where MindStudio Fits Into This Picture

The feature competition between Gemini, Claude, and ChatGPT is largely about which platform gives you the best persistent AI workspace. But there’s a ceiling to what any single chat interface can do — especially if you want AI that acts on things, not just answers questions.

That’s where MindStudio comes in. Rather than being locked into one AI model’s ecosystem, MindStudio lets you build workflows that use any of these models — Gemini, Claude, GPT-4o, and 200+ others — and combine them with real actions.

The use case is different from Notebooks or Projects. Instead of organizing your chats and files, you’re building AI agents that actually do work: pulling data from Google Docs, generating drafts, sending emails, updating a CRM, or running a multi-step research pipeline — all without code.

For example, you could build a MindStudio agent that:

• Ingests a new research document from Google Drive
• Summarizes it using Gemini 1.5 Pro (for its large context window)
• Cross-references key claims using web search
• Outputs a structured briefing to Notion or Slack

That’s not something Gemini Notebooks, Claude Projects, or ChatGPT can do natively. It requires connecting models to actions — which is exactly what MindStudio is built for.

If you’re thinking about building AI workflows for business use cases, MindStudio is worth exploring. You can try it free at mindstudio.ai.

---

Frequently Asked Questions

What is Gemini Notebooks and how does it differ from a regular Gemini chat?

Gemini Notebooks is an organized workspace inside the Gemini app that groups related conversations and uploaded files together. Unlike a standard Gemini chat — which starts fresh each time — a notebook maintains persistent context across sessions. You can attach documents that Gemini can reference in future conversations, and notebooks can sync with NotebookLM for deeper document analysis. It’s designed for ongoing projects or topics you return to repeatedly.

Does Gemini Notebooks replace NotebookLM?

No. They serve different purposes and work better together than as substitutes. NotebookLM is built specifically for working with source documents — it grounds AI responses in uploaded files and cites specific passages. Gemini Notebooks is a broader conversational workspace. The integration between the two means you can use Gemini for open-ended conversation and exploration, then use NotebookLM for precise, document-grounded analysis.

How do Claude Projects and ChatGPT Projects compare to Gemini Notebooks?

All three let you organize conversations with files and persistent context. Claude Projects is strongest on custom AI behavior — you write specific instructions that shape how Claude responds throughout the project. ChatGPT adds a global memory layer that works across projects and regular chats. Gemini Notebooks differentiates with its NotebookLM integration and the advantage of Gemini’s very large context window. The right choice depends on your workflow — see the comparison table above for a detailed breakdown.

Is Gemini Notebooks free?

Some basic organization features are available to free Gemini users, but full Notebooks functionality — including NotebookLM sync and persistent file uploads — requires a Google One AI Premium subscription, which includes Gemini Advanced. Pricing for Google One AI Premium starts at $19.99/month.

Can I use Gemini Notebooks for work or team projects?

Yes. Gemini for Workspace (available through Google Workspace plans) includes access to Gemini features including Notebooks. Teams using Google Workspace can use Notebooks to organize work-related AI conversations alongside their existing Google Docs, Drive, and Gmail workflows. For more robust team collaboration features, Claude’s Team plan and ChatGPT’s Team plan also offer shared Projects with admin controls.

Which AI platform has the best long-term memory?

ChatGPT has the most expansive approach to memory — it learns facts about you over time and applies them across all your conversations, regardless of which project you’re in. Claude and Gemini scope their memory to the current project or notebook. If you want AI that builds a persistent understanding of who you are across months of use, ChatGPT’s memory feature is currently the most developed for that purpose. If you want precise, controllable context within a defined workspace, Claude Projects gives you the most fine-grained control.

---

Key Takeaways

• Gemini Notebooks organizes chats and files with a standout NotebookLM integration — best for Google Workspace users and research-heavy workflows with large documents.
• Claude Projects offers the most precise custom instruction controls — best for writing, editing, and analysis work where AI consistency across sessions matters.
• ChatGPT Projects + Memory combines project-level context with global cross-conversation memory — best for users who want the AI to build a long-term profile of their preferences and work.
• None of these are definitively “best” — the right choice depends on your workflow, your existing tool stack, and how you prefer to interact with AI.
• If your goal is to move beyond chat and build AI that takes real actions across tools, MindStudio lets you combine any of these models into automated workflows without writing code.