ElicitvsConsensus

Two AI tools for finding and using academic research. Elicit is built around extracting structured data from many papers into a table for systematic reviews. Consensus is built around answering a question with a quick read of what the literature agrees on.

At a glance

ElicitConsensus
CategorySearchSearch
FunctionResearch assistantAcademic search
PricingFreemiumFreemium
Starting priceFree credits; Plus from $12/moFree tier (limited), Premium from around $9/mo
Editor rating4.6 / 5
ReleasedJanuary 2021July 2026

Elicit

Pros

  • Data extraction across papers is a genuine time-saver for reviews
  • Strong citation discipline — you can check every claim
  • Designed for researchers, not general chat

Cons

  • Credits run out quickly on heavy extraction
  • Coverage skews to open-access and life sciences
  • Not a substitute for reading the key papers

Consensus

Pros

  • Consensus Meter is a genuinely useful shortcut for gauging research agreement
  • Saves real time versus manually screening dozens of papers
  • Sticks to peer-reviewed sources instead of the open web

Cons

  • Coverage gaps exist in newer or more niche fields
  • Summaries can flatten nuance that matters in the original paper
  • Not a substitute for reading the studies that actually matter to your work

Which one should you pick?

Pick Elicit if

You are doing a literature review or meta-analysis and need to pull specific fields — sample size, method, outcome — from dozens of papers into a comparable table you can export.

See Elicit details →

Pick Consensus if

You have a yes-or-no or how-much question and want a fast, cited summary of where the evidence leans before you decide which papers to read in full.

See Consensus details →

Bottom line

Elicit for rigorous extraction across many papers. Consensus for quick evidence checks. Researchers tend to use Consensus to orient and Elicit to do the work.