Elicit vs ResearchRabbit: 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.

ResearchRabbit is a literature discovery service organized around papers, authors, collections, and citation relationships. Its central identity is a visual recommendation and mapping tool: users begin with work they know, then examine related papers, earlier and later studies, authors, and emerging themes. Litmaps, a New Zealand company, acquired ResearchRabbit in May 2025 during its first-close $1 million funding round. ResearchRabbit remains active under its own name and domain rather than being folded into the Litmaps brand. A 2025 release described a database containing more than 280 million academic sources from Semantic Scholar, Crossref, and OpenAlex. That history gives the product a distinct position between academic search, citation mapping, and collaborative literature organization for individuals and teams.

The supported workflow begins with seed papers or a keyword search. ResearchRabbit displays connected literature visually, enabling inspection of similar, earlier, and later work, along with authors and citation paths. Users can save discoveries into collections, write notes, share collections, and collaborate. A reading list holds articles for later review without requiring collection membership, while users can upload or connect reference libraries. The 2025 redesign added iterative searching, searches from arbitrary article sets, built-in notes, and a larger database. This workflow is valuable when a credible starting paper exists and the goal is to expand outward through relationships. It is less direct for a single factual question, because users must interpret maps, judge relevance, and often open papers themselves rather than receive one synthesized response.

The visual approach can reveal relationships that keyword lists miss, but recommendations inherit the limits of citation coverage, metadata quality, and network structure. ResearchRabbit does not provide Consensus-style sentence-level evidence synthesis, and many users may still need a reference manager, full-text reader, or systematic-review screening and extraction system. The acquisition adds uncertainty because Litmaps owns the product and future boundaries or pricing may change. Privacy materials state that saved articles and notes are not sold or used to train AI models, while the DPA identifies Litmap Limited as processor and names AWS, Stripe, Mixpanel, CloudWatch, SES, Brevo, and Intercom as subprocessors or service providers. Choose ResearchRabbit for visual, iterative discovery and shared citation trails; choose Consensus for direct cited answer synthesis, and consider Connected Papers, Litmaps, Elicit, or Scite for different discovery and evidence needs.