Consensus

About

Consensus is an AI academic search engine purpose-built for finding and understanding peer-reviewed scientific literature. Unlike general search engines, Consensus searches across over 200 million scientific papers and uses AI to extract key findings, synthesize results across multiple studies, and present clear answers grounded in real research. The Consensus Meter shows at a glance whether studies generally support or oppose a given claim, making it easy to gauge scientific consensus on any topic. Deep Search mode provides comprehensive literature reviews with synthesized findings across dozens of papers. Every answer includes direct citations to the source papers, eliminating the hallucination problem common with general AI tools. Features include study snapshots with methodology and sample size details, advanced filters by study design and journal, and a ChatGPT plugin (ConsensusGPT) for conversational research. Used by researchers, students, clinicians, and science writers who need evidence-based answers fast.

Features

• •Search across 200M+ peer-reviewed scientific papers
• •AI-synthesized answers with direct paper citations
• •Consensus Meter showing scientific agreement on claims
• •Deep Search for comprehensive multi-paper literature reviews
• •Study snapshots with methodology, sample size, and key findings
• •Advanced filters by study design, journal, and date range
• •ConsensusGPT plugin for ChatGPT integration
• •Research lists for organizing and saving papers
• •No AI hallucinations — every claim backed by real papers
• •API access for developers and research platforms

Use Cases

• •Researchers conducting rapid literature reviews across hundreds of papers
• •Medical professionals finding evidence-based answers for clinical decisions
• •Students writing thesis papers with properly cited scientific evidence
• •Science journalists fact-checking claims against peer-reviewed research
• •Policy analysts gauging scientific consensus on contested topics