Elicit vs Perplexity: 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.

Perplexity is an AI answer engine founded in 2022 by Perplexity AI, Inc. It searches the web, synthesizes responses, and places inline citations beside claims. The service also includes file uploads, Projects, premium data sources, Deep Research, Perplexity Computer, and the Comet browser. Individual plans run from a free Standard tier through Pro and Max, while Education Pro serves verified students and educators. Enterprise Pro and Enterprise Max add organizational administration, shared knowledge tools, and different privacy terms. The product is therefore broader than a conventional search box, although its central use remains finding and explaining current information from linked web pages. Buyers should view it as a cloud research workspace whose value depends on current web access, citation checking, and plan limits. Perplexity does not publish a funding figure.

A typical session begins with a question in the web or app interface. Perplexity retrieves relevant web material, generates an answer, and places inline citations near related claims. Free users receive basic searches and limited Pro Searches. Paid users can select models, use Deep Research, upload files, search connected apps, and work in Projects. Deep Research performs iterative searches, reads documents, reasons about the next step, and writes a report that can be exported to PDF or a document. Computer extends this pattern into multi-step tasks. Comet adds an assistant inside a browser, where users can ask about pages and request actions such as arranging a meeting or sending an email. For buyers, this workflow suits research, briefing, and synthesis more directly than ordinary chat, but consequential outputs still require review before use.

Perplexity's main limitation is that citations still need checking, especially for consequential work, and consumer privacy settings differ from Enterprise and API arrangements. It is less suitable for offline research or self-hosting because the product is cloud based and its documents describe no self-hosted option. ChatGPT is broader for conversation, coding, and custom workflows, Claude is strong for long-form writing and document work, and Google Gemini is closely tied to Google's services. Perplexity is the better pick for people who prioritize current web answers with inline citations, included they can verify important claims and choose a plan whose usage limits fit their work. Choose ChatGPT for broader workflow flexibility, Claude for writing centered projects, or Gemini for Google connected work. For citation led web research, choose Perplexity.