Elicit
AI research assistant trained on academic papers.
01 What is Elicit?
Elicit is an AI research assistant specifically trained on academic literature. It finds relevant papers, extracts key findings, and lets you compare results across studies, an essential tool for systematic reviews and academic research.
02 Best For
- ▸Academic literature reviews
- ▸Systematic reviews
- ▸Evidence synthesis
- ▸Finding key papers on a topic
03 How to Get Started
- 01
Visit elicit.com and create a free account.
- 02
Type your research question, Elicit surfaces the most relevant papers.
- 03
Use extraction columns to pull key findings side-by-side across studies.
Pro Tips
- ◆Ask a specific research question, not a keyword — Elicit works like a research assistant and rewards full questions.
- ◆Use the table view to extract the same field (sample size, method, outcome) across many papers at once.
- ◆Always open the source paper before citing — Elicit surfaces and summarizes, but you're responsible for accuracy.
- ◆Star and organize papers into a workspace so a literature review builds up over sessions.
04 At a Glance
Strengths
- +Academic literature reviews
- +Systematic reviews
- +Evidence synthesis
- +Finding key papers on a topic
- +Free tier you can start with today
Things to consider
- !The free plan has limits; advanced features need a paid plan.
- !Pricing and features change often — confirm current details on the official site.
- !AI output should be reviewed before you rely on it.
Placement reflects our editorial assessment of fit for this use case, not paid placement. Some links may be affiliate links — this never changes our rankings. How we rank →
06 Frequently Asked Questions
What is Elicit for?
A research assistant that finds, summarizes, and extracts data from academic papers — built for literature reviews and evidence gathering.
Is Elicit free?
A free tier covers basic searches and summaries; paid plans add higher limits and advanced extraction.
Is Elicit accurate?
It surfaces real papers and structured summaries, but it can miss nuance — verify claims against the original source before relying on them.