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Consensus - AI Scientific Search Engine | AI.info
Consensus searches 200M+ peer-reviewed papers and shows you the science consensus on any claim with a visual Consensus Meter and AI-synthesized evidence summaries.
Consensus is an AI academic search engine and research workspace. It searches peer-reviewed literature, ranks relevant papers, summarizes findings, compares studies, extracts study details, and provides citations.
Researchers, clinicians, students, educators, and professionals use it for literature reviews, evidence checks, and research discovery. It does not replace reading or evaluating the underlying papers. Paid plans and usage charges apply for expanded features and API calls.
Features
- Searches peer-reviewed research using natural language, keywords, Boolean operators, titles, authors, and DOIs
- Generates citation-backed summaries and comparisons across research papers
- Filters results by study type, publication date, journal quality, citations, population, and other criteria
- Extracts methodology, sample size, outcomes, and study duration with Study Snapshot
- Analyzes saved papers, collections, and uploaded research documents in My Library
- Maps relationships among papers with Citation Graph
- Provides an API for embedding academic search and paper metadata in applications
- Connects with ChatGPT, Claude, and Microsoft 365 Copilot
Use cases
- Find relevant studies for a literature review
- Compare interventions, populations, methods, or outcomes across papers
- Check claims against cited scientific evidence
- Organize papers and analyze a research collection
- Automate research discovery in an internal application