Elicit

Your AI research assistant — automatically extracting answers, summaries, and related studies from 200M+ papers.

Elicit is an AI literature research assistant built for researchers, with one core idea: replacing keyword search with questions. Enter a research question, and Elicit retrieves relevant literature from over 200 million academic papers, automatically extracting the key information from each one — research questions, methods, samples, findings, limitations, and more — then organizing it all into exportable tables or review summaries. It’s a huge help for scholars and students who need to get up to speed on a field quickly, write a literature review, or prepare a research proposal.

Pricing follows a freemium model. The free plan comes with a fixed monthly query allowance and access to the core search and summarization features; a paid subscription (around $10-20/month) unlocks more queries, advanced filtering, bulk export, and team collaboration. For students and individual researchers, the free plan is usually enough; for labs and corporate research teams, the paid plan can significantly boost literature research efficiency.

In terms of positioning, Elicit sits in the AI research tools space alongside Consensus and SciSpace. Consensus leans harder on “evidence strength” and question-driven evidence retrieval; SciSpace focuses more on paper reading and writing assistance; Elicit’s edge is a complete workflow that takes you “from question to review table.” If you need to do systematic literature mapping or generate a research overview fast, Elicit is one of the handiest tools out there.

Note: Elicit’s answers are drawn from paper abstracts and metadata, so complex argumentation details still call for reading the original papers; conclusions in high-stakes fields such as medicine and law must be cross-checked against the original sources. Free plan quotas are limited — heavy users are advised to subscribe.

Source: Agentopia · Full site-wide machine catalog at /llms.txt