Google should have kept NotebookLM’s name and sold the code tools

30 million users now get a more powerful notebook, but a worse name.

Google should have kept NotebookLM’s name and sold the code tools as an upgrade, not a rebrand.

Brand clarity matters more than Gemini consolidation

NotebookLM earned its place by being legible. The name told users exactly what the product did: a notebook built around your materials, not a general-purpose chatbot. That clarity helped the product grow to more than 30 million individual users and over 600,000 organizations, which is not the footprint of a lab experiment. Once a product reaches that scale, renaming it is no longer housekeeping. It is a decision that can either sharpen understanding or blur it.

Google chose blur. “Gemini Notebook” sounds like one more tile in a crowded AI suite, not a focused tool with a distinct job. Google already has Gemini in the app, notebooks inside Gemini, and now Gemini Notebook as a standalone product. That is not simplification. It is a taxonomy problem. Users do not need a brand architecture lesson before they can summarize a source packet or compare documents.

The product upgrade is real, but the packaging is backward

The code-execution feature is the meaningful change. Google says every notebook now gets a secure cloud computer that can write and execute code, and that means the tool can move from summarizing documents to analyzing them. For AI Ultra users and eligible Workspace business customers, that is live now. For Pro users on the web, it is coming in the coming weeks. That is a genuine capability jump, because it turns the notebook into an analysis environment, not just a reading assistant.

But that is exactly why the rename feels mismanaged. The code tools are the story. The new name is not. Google should have led with “NotebookLM now runs code” and kept the established product identity intact. Instead, it buried the upgrade inside a brand reset that forces users to relearn a product they already understood. In product terms, the company spent attention on the wrong variable.

Google keeps creating naming debt

This is not an isolated slip. Google has spent years collapsing products into overlapping labels, then asking users to infer the difference from context. Here, the confusion is especially sharp because Gemini already has notebooks inside the Gemini app, and the newly renamed Gemini Notebook remains a separate standalone product that syncs with them. That means users now have Gemini Notebook and notebooks in Gemini, which is the kind of naming that makes documentation, support, and onboarding harder than they need to be.

That matters because AI products succeed or fail on trust and repetition. If a teacher, analyst, or operations lead has to stop and ask whether two similarly named surfaces are the same thing, the product has already lost a little credibility. The rename does not just change a logo. It adds friction at the exact moment Google should be reducing it. A stronger brand strategy would have preserved the old name as the stable anchor and used Gemini as the platform layer, not the headline.

The counter-argument

The best case for the rename is straightforward: NotebookLM was too small a name for what the product is becoming. Google has spent months consolidating its AI lineup under Gemini, and the company says the notebook will do more across the Google ecosystem, including inside Gemini and Google Search. In that framing, the old name looked like a relic from the Project Tailwind era, while Gemini Notebook signals that the product belongs to the company’s main AI platform.

There is also a practical argument for consistency. Enterprise buyers do not want a patchwork of disconnected AI brands. A unified Gemini label can make procurement, training, and future integrations easier to explain. If the notebook is going to live alongside search, the app, and Workspace, a shared name can reduce the sense that users are adopting a one-off side project.

That case is real, but it does not justify this execution. Google could have unified the platform while preserving the product name, the way many companies keep a product’s identity even as the backend or suite changes. The problem is not that Gemini appears. The problem is that Google replaced a precise, useful name with a broader one at the exact moment precision mattered most. The company gained consistency and lost specificity, and for a tool built on source-grounded work, specificity is the asset.

What to do with this

If you are an engineer, PM, or founder, treat this as a branding lesson with product consequences: keep the name that describes the user’s job, and use the platform brand as the parent layer. If you are shipping a new capability, lead with the capability and protect the mental model users already have. In AI, the products that win are not the ones with the most unified naming charts. They are the ones people can explain in one sentence without pausing.