An AI-driven academic search engine delivering trustworthy summaries and visual consensus from over 220 million research papers.
Consensus.app is an AI-powered research engine that quickly scans over 200 million peer-reviewed research papers to deliver concise, evidence-based summaries supported by scientific literature. Unlike generic AI chatbots, every answer is linked to real studies by combining semantic and keyword-based search, rigorous quality filtering (based on recency, citations, and journal impact), and high-precision AI ranking.
Features such as Pro Analysis, Consensus Meter, Ask Paper, Study Snapshots, and advanced search filters streamline the literature review process and enhance research productivity.
An AI-powered academic search engine that synthesizes answers from peer-reviewed research, with fact-based, citable summaries.
Every answer relies on real studies. It uses a three-step filtering process for accuracy, including relevance, research quality metrics, and AI ranking.
An advanced mode that generates full literature review–style reports in minutes using structured searches and AI-synthesized insight across 200M+ papers
Paid users can access full PDFs directly and use the Ask Paper feature to query paper content; free users may only see abstracts or snapshots
It performs best in broadly studied fields (health, psychology, science). For highly niche topics, depth may be less consistent.
Unlike Google Scholar’s list-based approach, Consensus provides summarized, visual consensus. Compared to Elicit or Research Rabbit, it focuses more on quick answers and clarity rather than deeper citation mapping or interface complexity.
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