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Elicit

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Introduction

AI research assistant for literature review

Added on: Mar 15, 2026

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Elicit Product Information

Elicit Overview

Elicit is an AI research assistant that uses language models to help researchers find and analyze academic literature. It searches across papers to answer research questions, summarizes findings across multiple studies, extracts key information from papers, and helps synthesize what the literature s...

This product stands out with features such as:

•Research Question Search: Find papers that answer your specific research question
•Cross-Paper Synthesis: Understand what multiple papers collectively say
•Data Extraction: Pull specific information from papers in a structured way
•Concept Clarification: Understand how papers define and use key concepts
•Evidence Mapping: Map the strength and consistency of evidence across studies
•Citation Export: Export found papers to reference management tools
•Workflow Integration: Works alongside your existing research process
•Free Plan: Basic research assistance without payment

How to Use Elicit

Get started in a few simple steps

Enter Your Research Question

Sign up at elicit.com and enter your research question in plain language. Elicit searches for papers that address your specific question.

Review Found Papers

Browse the papers Elicit found and review the extracted summaries and key findings. See how different papers address your question.

Synthesize Your Findings

Use Elicit synthesis features to understand what the collective literature says about your question. Export the papers you want to read in full.

Elicit's Core Features in Detail

Powerful features from Elicit

Question-Based Search

Topic keyword search finds papers about a subject. Research question search that finds papers answering specific questions is more useful for researchers with defined inquiry

Synthesis Efficiency

Reading many papers to understand what the collective evidence says takes enormous time. AI synthesis that processes multiple papers simultaneously accelerates this work

Structured Extraction

Pulling specific data points from many papers for systematic review requires tedious manual work. Automated extraction that structures this information saves weeks of work

Evidence Mapping

Understanding how consistent and strong the evidence is across studies requires seeing how many papers reach similar conclusions. Evidence mapping that shows this pattern supports evidence-based conclusions