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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Elicit
✓ verifiedFreemium
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
2.1M visits/mo
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ResearchRabbit
✓ verifiedFreemium
Free-first literature discovery tool that visually maps citation networks and related papers to speed up systematic reviews.
1.2M visits/mo79 saves
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Connected Papers
✓ verifiedFreemium
Widely used visual tool for exploring related academic papers.
873K visits/mo
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Rayyan
✓ verifiedFreemium
AI-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
1.1M visits/mo
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Iris AI
✓ verifiedPaid
Enterprise AI knowledge platform that unifies complex regulated-industry data into trusted, AI-ready intelligence for R&D and agents.
56K visits/mo
Pricing
Basic: Free
Plus: $10 per month, billed annually
Pro: $42 per month, billed annually
Team: $65 per user, per month billed annually
Enterprise: Custom
Free: $0/month (unlimited searches across 310M+ articles)
ResearchRabbit+ Annual: $10/month
ResearchRabbit+ Monthly: $12.5/month
Free: USD 0
Academic: USD 3 /month*
Business: USD 10 /month*
Academic Group: 3 USD / seat / month*
Business Group: 10 USD / seat / month*
Academic Library: Request a Quote
Free: $0 (3 active reviews, 2 free reviewers)
Essential: $8.33/month billed quarterly
Advanced: $13.33/month billed quarterly (9 active reviews, 10 free reviewers)
No public pricing
Core features
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦Citation and author network exploration from a seed paper
- ✦Interactive visualizations of how topics relate over time
- ✦Unlimited library organization and collection sharing
- ✦Zotero integration for syncing saved papers
- ✦Up to 300 seed articles supported on the paid tier
- ✦Alerts for new related research
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦Reference import, organization, and deduplication across large libraries
- ✦AI-powered relevance predictions to prioritize screening
- ✦Collaborative title/abstract and full-text screening workflows
- ✦Structured data extraction and PICO framework support
- ✦Risk of bias assessment tools
- ✦Auto-generated PRISMA flow diagrams and audit trails
- ✦Mobile app for screening on the go
- ✦Axion for turning data chaos into AI-ready intelligence
- ✦Neuralith for converting enterprise knowledge into an AI engine
- ✦RSpace for precision intelligence in complex R&D
- ✦Data unification across fragmented enterprise sources
- ✦Built for regulated, compliance-driven industries
Use cases
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →Building a systematic literature review efficiently
- →Discovering research gaps in an unfamiliar field
- →Tracking new publications related to saved papers
- →Visualizing how a body of research has evolved
- →Getting a visual overview of a new academic field
- →Ensuring no key papers are missed in a field with a large volume of new publications
- →Creating a bibliography for a thesis
- →Discovering relevant prior and derivative works
- →Running systematic literature reviews as a research team
- →Speeding up deduplication and abstract screening for large reference sets
- →Producing PRISMA-compliant documentation for publication
- →Coordinating divided screening workloads across reviewers
- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications
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