Elicit vs scite.ai

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Shared:literature-reviewresearchanalysisinsights

Elicit

AI research assistant for literature reviews, paper search, evidence tables and automated research reports with freemium access and paid tiers.

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scite.ai

scite.ai helps researchers judge evidence by adding context to citations with Smart Citations that label whether later papers support or challenge a claim, and it includes an assistant for literature exploration plus dashboards for tracking a topic over time.

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At a glance

Elicitscite.ai
PriceFree / From $12 per month7-day free trial / Custom pricing
DifficultyBeginnerBeginner
TypeWeb AppWeb App
StatusActiveActive

Elicit — Key features

  • Paper search with AI ranked relevance and filters
  • PDF upload with table and claim extraction
  • Auto generated evidence tables and reports
  • Keyword search across PubMed and clinical trials
  • Research Agent workflows for broad overviews
  • Alerts that notify when new studies match topics

scite.ai — Key features

  • Smart Citations: Adds citation statements and classifies them as supporting challenging or mentioning for evidence context
  • Assistant workflow: Provides an assistant interface to explore literature and answer questions from coverage in the index
  • Pricing published: Personal plan is listed at $6 per month with $72 billed annually on the official pricing page
  • Organization access: Offers organization licensing for teams and institutions that need shared access and administration
  • Reference checks: Helps verify whether sources support a statement by showing relevant citation context from papers
  • Dashboards tracking: Supports tracking topics or papers so you can monitor how evidence evolves across time

Elicit — Best for

  • Accelerate literature reviews for grant proposals
  • Build evidence tables for clinical or policy briefs
  • Map competitive landscapes and prior art quickly
  • Monitor new trials and studies with automated alerts
  • Extract outcomes and populations from uploaded PDFs

scite.ai — Best for

  • Claim verification: Check whether a highly cited claim is supported or challenged by later work before quoting it
  • Related work mapping: Build a quick map of supporting and challenging papers around a method or dataset
  • Manuscript review: Validate key statements in drafts by inspecting citation context and reducing weak references
  • Systematic screening: Triage large reading lists by prioritizing works with strong supporting citation patterns
  • Grant justification: Identify the most supported lines of evidence and flag contested areas for careful framing