Consensus
An AI search engine that reads peer-reviewed papers and tells you what the research actually says.
What is Consensus?
Consensus is a search engine built specifically for academic literature. Ask a question in plain English and it pulls findings from peer-reviewed papers, showing what share of studies agree, disagree, or land somewhere mixed on a given claim, instead of handing you a stack of PDFs to read yourself.
Consensus runs on a large database of academic papers paired with a model tuned to extract specific findings rather than merely relevant-sounding snippets. Its signature feature, the Consensus Meter, shows at a glance whether studies on a claim skew toward yes, no, or it's complicated — something a general search engine never attempts and few researchers have the hours to compile by hand.
Key features
- Search across millions of peer-reviewed papers
- Consensus Meter showing agreement across studies
- Plain-English summaries of individual paper findings
- Filters for study type, sample size, and publication year
- Citation export for academic writing
- AI-generated literature review drafts
Pros
- Consensus Meter is a genuinely useful shortcut for gauging research agreement
- Saves real time versus manually screening dozens of papers
- Sticks to peer-reviewed sources instead of the open web
Cons
- Coverage gaps exist in newer or more niche fields
- Summaries can flatten nuance that matters in the original paper
- Not a substitute for reading the studies that actually matter to your work
Best for
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Alternatives to Consensus
Perplexity
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