Elicit · AI Research Assistant
An AI assistant designed for academic research, helping users find, summarize, and extract structured data from scientific papers.
Best for
Researchers and students who need to process large volumes of academic literature efficiently
Not ideal for
Real-time web research, non-academic topics, or tasks requiring expert validation of findings
Who it's for
Academics and policy researchers conducting systematic reviews of scientific literature
Elicit is an AI research assistant built specifically for literature review and academic research workflows. It searches across a large corpus of scientific papers — primarily from Semantic Scholar — and produces structured summaries of relevant studies. Users can define custom data extraction columns to pull specific information from each paper, such as sample size, methodology, or key findings, and view results in a comparable table format. This makes it significantly faster to process a large volume of papers than reading each one individually. Elicit is not a general-purpose search engine — it is designed for structured research questions where you want to understand what a body of evidence says. It works best for systematic reviews, literature overviews, and evidence synthesis tasks common in academic, scientific, and policy contexts. A free tier is available with limited monthly usage; paid plans add higher query limits and advanced extraction features.
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