Consensus
AI search engine for scientific evidence: ask a question and get answers backed by real citations from 200M+ papers, ideal for quick research verification.
Tool overview
Consensus is an AI-driven search engine designed to answer research questions with evidence from the scientific literature. Users input a question in natural language, and the system retrieves relevant findings from over 200 million peer-reviewed papers, synthesizing a concise answer with direct citations. It is particularly effective for quickly checking the state of evidence on specific interventions, relationships between concepts, or simple yes/no research queries, saving hours of manual screening.
The key strength is trustworthiness – every claim is linked to an actual paper, reducing the risk of hallucinated references common in general-purpose chatbots. Filters for study type, publication date, and journal quality help refine results. It can also help users decode discipline-specific jargon by cross-referencing the literature, making it valuable both for early-stage exploration and for constructing a quick mental map of a new field.
However, Consensus is a question-answering tool, not a literature review generator.