Source-Grounded AI
Unlike traditional chatbots, NotebookLM bases its responses and generations on the documents you provide. This means outputs are directly traceable to your uploaded PDFs, Google Docs, or other text files, aiming for accuracy and relevance to your specific research context.
Information Synthesis
It assists in understanding complex information by summarizing, identifying key themes, and extracting important concepts across multiple sources. This can help reduce the time spent manually reviewing large volumes of text.
Content Generation & Organization
In addition to summarization, NotebookLM can assist with brainstorming, generating outlines, and drafting content within a structured notebook environment.
Privacy-Focused
Uploaded documents are private and are not used to train the underlying AI models or to be shared with other users. Data remains private to the user.
“NotebookLM - Teaching.IU.” Iu.edu, 2025, toolfinder.iu.edu/tools/notebooklm. Accessed 5 Dec. 2025.
Use key phrases instead of whole paragraphs
Utilize fonts and colors that are easy on the eyes
Don't overdo it on the photos! Use blank space for easier readability
Citing a chat prompt from NotebookLM in MLA format:
“Text of prompt” prompt. NotebookLM, Day Month version, Google, Day Month Year accessed, https://notebooklm.google.com/.
Example:
"How do microwaves heat food?" prompt. NotebookLM, Google, 5 Dec 2025, https://notebooklm.google.com/