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Google renamed NotebookLM to Gemini Notebook on July 16. The product remains a standalone service — it is not being folded into the main Gemini app — but the rebrand brings it under the Gemini umbrella as Google consolidates its AI product naming. Gemini AI Studio, Gemini Code Assist, and now Gemini Notebook form an increasingly unified product family even as each remains distinct.

What’s Changing

The rename is accompanied by a preview of two capabilities coming for AI Pro subscribers:

• Gemini 3.5 model upgrade — replacing the current model powering NotebookLM’s analysis and Q&A features with Gemini 3.5’s improved reasoning
• Antigravity integration — bringing coding execution into the notebook workflow, allowing AI Pro users to run code directly against uploaded documents and data sources

Antigravity is Google’s coding agent platform, launched at I/O 2026, which includes a native browser, code execution environment, and file system access. Folding Antigravity into Gemini Notebook represents the most significant functional expansion of the product since its launch.

Why the Rebrand Now

NotebookLM launched as a Research at Google project in 2023 and has quietly become one of Google’s highest-engagement AI products, popular among researchers, students, and knowledge workers for its source-grounded Q&A and podcast-style audio overviews. Its user base skews toward professional users who value citations over chat.

The rebrand is strategic positioning. Google needs its AI product line to read as a coherent family rather than a collection of experimental projects. Gemini Notebook sits alongside Gemini Advanced, Gemini API, and Google AI Studio in a naming structure that signals integration even where the product remains distinct.

The Antigravity Expansion

The Antigravity tie-in is the substantive news. NotebookLM’s historical limitation is that it could summarise and query documents but not act on them — a user could ask “what does this dataset show?” but not then generate a chart or run a calculation inside the session.

With Antigravity, that boundary collapses. A researcher can upload a dataset, ask Gemini Notebook to analyse it, have the model write and execute code against the data, and receive verified outputs — all grounded in cited source documents. The combination of Antigravity’s execution environment with NotebookLM’s source-attribution model is more capable than either product achieves alone.

Pricing

NotebookLM has been available at no cost for basic usage and through Google One AI Pro ($19.99/month) for advanced features. The Gemini 3.5 upgrade and Antigravity integration are previewed specifically for AI Pro subscribers. No pricing changes were announced.

Coverage Comparison

Google’s deep research space has grown crowded. Perplexity Pro, OpenAI’s deep research mode (GPT-5.5 + search), and Claude Research compete for the same knowledge-worker use case. Gemini Notebook’s structural differentiator remains its source-grounding approach — every answer is traceable to an uploaded document — which the Antigravity integration preserves while adding execution capability.