An AI-powered academic search engine that queries a corpus of over 200 million peer-reviewed papers, synthesizing evidence-based answers with citation-level transparency and a proprietary Consensus Meter for gauging scientific agreement.
Deep Search mode conducts iterative, multi-query literature reviews across 50 papers, producing structured outputs with methods sections, evidence tables, research gap matrices, and claim-level evidence strength ratings. Filtering by methodology, study type, journal rank, and publication year supports systematic review protocols.
Rapid evidence synthesis and systematic literature screening — particularly effective for gauging the state of scientific consensus on empirical questions before committing to a full manual review.
Does not provide deep-linked PDF annotations; AI summaries require verification against source texts. Coverage skews toward English-language empirical literature; humanities and non-English scholarship may be underrepresented.
Consensus explicitly states it does not use personal or non-personal user data to train large language models and does not send user data to third parties for model training. SSL encryption is implemented. Standard analytics and device data are collected for service improvement.
All outputs are grounded in indexed peer-reviewed literature sourced primarily from Semantic Scholar and OpenAlex. Citations link directly to source papers. The Consensus Meter classifies evidence as supporting, opposing, or neutral, reducing interpretive fabrication. However, AI-generated summaries should still be verified against original abstracts.
Free tier includes limited Pro and Deep Searches per month. Pro plan unlocks unlimited Pro Searches. Deep plan provides 200 Deep Searches/month for power users. Enterprise and Teams plans available for institutions.
✓ Institutional licensing available
Editorial independence: ScriptorLabs has no commercial relationship with Consensus. This review is independent and based solely on our academic evaluation framework.