Elicit vs NotebookLM: pricing, features and which to choose

Elicit is made by Elicit Research, PBC, an AI company that grew from Ought and focuses on scientific research and evidence-backed decisions. Its product searches academic literature, organizes papers into tables, extracts information, and guides systematic reviews. Elicit announced a $22 million Series A in February 2025 at a reported $100 million valuation, led by Spark Capital and Footwork. The company said it had more than 400,000 monthly researchers at that time, while its homepage later claimed more than five million researchers. Those figures use different dates and definitions. Elicit is active and has expanded from paper search into reports, routines, libraries, and organizational research workflows. This makes it useful for recurring work where teams need a consistent structure for reviewing literature and recording study details.

A normal Elicit workflow begins with a natural-language research question. Search returns relevant papers, after which the user can inspect titles, abstracts, full text, and extracted fields in a table. The user can add columns describing population, intervention, outcome, method, or another question, then export results. Research Reports automate search, screening, extraction, and report writing around a selected question and template. Systematic Reviews provide setup, paper gathering, title and abstract screening, optional full-text screening, data extraction, and a final report. Users can upload PDFs, import from Zotero, save papers in a library, chat with papers, and use a browser extension for institutional full-text access. In practice, the table format helps reviewers compare studies without moving repeatedly between separate documents or tools.

Elicit is strongest for researchers who need structured literature work rather than a general chatbot answer. It can reduce repetitive screening and extraction, but generated fields still need checking against papers, especially for nuanced methods, contradictory findings, and incomplete full text. Compared with Consensus, Elicit offers deeper table extraction and systematic-review workflows. Compared with SciSpace, it emphasizes structured review automation and research reports. Compared with NotebookLM, it searches a large paper corpus rather than relying mainly on user-uploaded sources. Choose Elicit for repeatable literature reviews, academic teams, and research operations; choose a general assistant for broad web research or creative writing. Its main tradeoff is that users gain review structure while accepting plan limits and the need for expert judgment.

Gemini Notebook is Google’s source-grounded research and study workspace, formerly called NotebookLM. Google introduced it as Project Tailwind at Google I/O 2023, then renamed it on July 16, 2026. The company says more than 30 million people and over 600,000 organizations use it. It remains a standalone product, while notebooks also connect with the Gemini app and are planned for Google Search. The name change matters for directory searches, but the product identity is continuous: Google says existing notebooks remain accessible. Its strongest distinction is a workflow built around user-provided material rather than an open-ended chat window. That makes it a practical fit for study, document review, internal knowledge, and source-based research.

A typical notebook starts with source collection. Users can add PDFs, web pages, Google Docs, handwritten notes, worksheets, photos, and recordings, then ask questions about the material. Gemini Notebook returns answers grounded in those sources and can provide citations. From the same workspace, users can create reports, flashcards, quizzes, mind maps, infographics, slide decks, Audio Overviews, and Video Overviews. Notes sit alongside sources, allowing users to edit, cite, and reuse them. The September 2026 study update adds real-time spoken conversations with notebooks in nearly 100 languages through the mobile app, mobile audio recording, interactive learning overviews, and additional quiz formats. Public notebook sharing is available for consumer accounts, while paid users receive advanced sharing.

Gemini Notebook is less suitable when you need a public developer API, local hosting, or a fully independent research index. Google identifies the consumer product as hosted, and its plan pages describe access through Google AI, Workspace, or Cloud rather than an open-source distribution. SciSpace is stronger for paper discovery and academic reading, while scite emphasizes citation context and Elicit focuses on structured literature review. ChatGPT is broader for general conversation, but it lacks Gemini Notebook’s narrow source-grounded notebook workflow. Individual data is not used to train Gemini Notebook unless feedback is submitted, while Workspace uploads, queries, and responses are not used to train AI models. Pick Gemini Notebook for source-based study and document work with multimedia outputs.