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Research assistant that reasons over documents you provide, not the web.
In short
Upload documents, paste text, or link sources, and NotebookLM answers questions, summarizes, and generates content grounded only on what you gave it, not on general training data. The closed-source property is the point.
Built for: Compliance/Audit Professionals · Solopreneurs · Marketing
| Tier | Model | Key inclusions | Limits |
|---|---|---|---|
| Free | $0 | Notebooks up to 50 sources, 25M tokens per notebook | Notebook and source limits |
| NotebookLM Plus | Per-seat monthly (Google One AI Premium or Workspace) | More notebooks, higher limits, team sharing | Higher caps |
Pricing, version numbers, context-window sizes, and compliance certifications change frequently. Where stated they are accurate as of the as_of date and should be confirmed with the vendor before any procurement or compliance decision. Where they could not be stated confidently they are omitted rather than guessed.
The governance question this raises
The closed-source behavior is the main governance argument for it: the model's answers are grounded on what you uploaded and cite back to passages, which makes hallucination outside the source set much less likely. The remaining question is the data path: documents uploaded to the consumer product are under Google's consumer terms; the same documents in a Workspace deployment are under enterprise terms. Confidential material should only go into a Workspace-governed instance.
No compliance certifications are listed here. Certification status is vendor-specific and time-specific, so it is stated only where verified rather than assumed. Check the vendor’s trust centre and confirm it covers the specific tier you are buying.
API and SDKs: No public API.
Strengths
Drawbacks
Consider instead: Perplexity AI, ChatGPT, Notion AI
Upload documents, paste text, or link sources, and NotebookLM answers questions, summarizes, and generates content grounded only on what you gave it, not on general training data. The closed-source property is the point.
Google's Gemini models, operating over user-provided sources.
Google's data terms apply. Consumer tier data handling differs from Workspace. Confirm before uploading confidential material.
The closest comparable tools are Perplexity AI, ChatGPT, Notion AI. Which fits depends on where the work already lives and what the organization's data terms require.
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