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Consensus
Consensus is an AI research search engine that helps users find, analyze, and synthesize peer-reviewed literature quickly.
Consensus
AI search for peer-reviewed research
What is Consensus?
Consensus is an AI-powered research platform for searching and analyzing peer-reviewed literature. It uses a large paper index to help users review evidence, compare findings, and get faster answers from academic sources.
How to use Consensus?
- 1Enter a research question or topic.
- 2Use Deep Search to expand terms, surface related evidence, and explore citations.
- 3Apply filters for timeframe, population, study design, or source type.
- 4Review the evidence summaries and compare supporting or conflicting results.
- 5Use the Consensus Meter for quick yes-or-no questions to see overall agreement in the literature.
Consensus Key Features
- Searches peer-reviewed literature at scale
- Deep Search for expanded research strategies
- Citation graph exploration
- Evidence summaries and conflict detection
- Filters for timeframes, populations, and study designs
- Consensus Meter for yes-or-no questions
- Clinical source narrowing for medical research
Consensus Use Cases
- Literature reviews
- Academic research
- Clinical evidence lookup
- Evidence synthesis
- Topic exploration for students and faculty
- Fast background research for researchers and clinicians
Consensus Pricing & Free Credits
Consensus currently operates on a Free, Paid model.
Consensus Pros & Cons
Pros
- Searches a large body of peer-reviewed research
- Useful for faster literature reviews
- Deep Search helps broaden and organize queries
- Evidence-focused output supports academic use
- Includes medical and clinical filtering options
Cons
- Not a substitute for reading full studies
- Coverage and access may vary by source
- Advanced features may require a paid plan
What is Consensus best for?
- Researchers
- Students
- Clinicians
- University libraries
- Academic teams