Gemini Notebook vs ChatGPT Projects for Studying Source Materials

You have a set of readings, notes, and questions for a course. Should you put them in Gemini Notebook or a ChatGPT Project? The more useful comparison is not which assistant writes a smoother summary. It is how easily you can check an answer against the material and continue the work next week.

Google renamed NotebookLM to Gemini Notebook in July 2026. This article uses the current name and compares the standard source-grounded notebook chat with ChatGPT Projects. It is a documentation-based workflow comparison, checked on September 29, 2026—not a live accuracy test or a claim that one product always gives better answers. Features, plans, and regions can change.

Use the same small source packet

To try either product fairly, prepare three short documents you have permission to upload. Here is an author-written practice packet; it does not represent a real course:

• Course brief, September 1: The workshop lasts 45 minutes and ends with a short exercise.
• Revised agenda, September 8: The workshop lasts 30 minutes; the exercise will be assigned afterward.
• FAQ, September 9: Registration is required. It gives no submission deadline for the exercise.

Ask the same three questions in each workspace: “What is the current workshop length, and which document changed it?” “When is the exercise due?” “Make a two-item study checklist using only these sources.” The first tests a revision, the second tests whether the assistant admits missing information, and the third tests whether it can turn verified facts into a useful action.

Keep the originals open while you test. A response that confidently invents a deadline fails regardless of its formatting. “30 minutes” needs a pointer to the revised agenda, not merely a plausible explanation.

Compare the workspaces, not imagined scores

Google says you can select which notebook sources to use. Its help describes the ordinary notebook chat as answering from those sources and letting you open a citation in context. Google also documents additional agentic functions in the same product; do not assume every mode is restricted in exactly the same way. Check the mode you are using.

OpenAI describes Projects as a way to keep related conversations, files, and instructions together. A project can be useful when studying the packet is one part of a continuing task—for example, drafting questions, revising a study plan, and returning to previous discussions. The Projects help page does not promise that every answer will give a passage-level citation to each uploaded file. Require a source pointer where that matters and verify it yourself.

Choose for the next action

Start with Gemini Notebook's source chat if your main task is to question a bounded collection and inspect cited passages repeatedly. Start with a ChatGPT Project if you need the documents alongside continuing conversations and reusable project instructions. If both jobs matter, try the same packet in each before moving a larger collection. Consider your account's upload, sharing, and data rules before adding private material.

Whichever you choose, do the same final check: identify the source that controls the workshop length, leave the absent deadline unanswered, and make the study checklist from supported facts. The assistant can organize the material; deciding which version is authoritative and whether an answer is ready to use remains your task.

References

• Google: NotebookLM is now Gemini Notebook: confirms the product rename.
• Google: Use chat in Gemini Notebook: explains source selection, citations, and the distinction from newer agentic functions.
• Google: Add notebook sources: explains source handling and supported inputs.
• OpenAI: Projects in ChatGPT: explains project files, chats, and instructions.