Google has renamed its AI research tool NotebookLM to Gemini Notebook, effective today. The name change is a clear signal that Google wants its various AI products to feel like a coherent family rather than a scattered collection of experiments. As reported by Engadget, the product stays standalone for now, but the Gemini branding puts it firmly in line with the rest of Google’s AI offerings.
The timing makes sense. Google folded NotebookLM into the Gemini app back in April, so the rebrand is more of a formality than a surprise. The product already had millions of users well before this announcement, and Google clearly wants to build on that momentum under a unified brand.
Along with the new name, Google has added some meaningful improvements to the tool itself. The most notable is native code writing and execution. Users can now run complex data analysis directly inside their notebooks, using only the sources they’ve already uploaded. That removes the need to export data or switch between tools, which has been a real friction point for researchers and analysts using the product.
Google also says more is coming soon. Notebooks created inside Gemini Notebook will be accessible through AI Mode in standard Google Search, which could make the tool far more useful for people who do a lot of research directly in the search bar. That’s a meaningful connection between two products that previously had no real link.
The numbers behind this rebrand are worth noting. Google says Gemini Notebook now has more than 30 million individual users and over 600,000 organizations on board. That level of adoption puts it well beyond the hobbyist category and into serious productivity territory. For context, many dedicated research and note-taking tools would consider those numbers a success after years on the market.
The broader picture here is that Google is working hard to make its AI products feel less like a grab bag and more like a platform. Renaming NotebookLM is part of that effort, as is connecting it to Search. Whether that strategy pays off depends on how well these tools actually work together, but the direction is clear enough.
