Consensus is an AI search engine for scientific research that finds relevant peer-reviewed papers and extracts a direct consensus finding — answering your research question based on what the evidence …
Consensus is built on a simple and powerful idea: when you ask a research question, you should get an answer that reflects the state of scientific evidence, not just a list of papers. The platform searches over 200 million peer-reviewed papers, extracts key findings from each relevant result, and synthesizes them into a Consensus Meter — showing what percentage of papers agree, disagree, or are inconclusive on the question asked.
The signature feature is the Consensus Meter, which appears at the top of results for empirical research questions. If you search "Does intermittent fasting reduce blood pressure?", the meter shows a breakdown across relevant studies — say 67% support, 18% inconclusive, 15% mixed — along with the individual study findings below. This is fundamentally different from Google Scholar, which returns a ranked list with no synthesis. The meter gives you the shape of the evidence before you read a single paper.
Consensus is most useful for evidence-based professionals: clinicians doing rapid evidence checks, health journalists verifying medical claims, nutrition researchers, and science communicators who need to accurately represent what the literature says. It also serves students learning to evaluate evidence quality rather than just finding papers. The Consensus Meter makes it excellent for fact-checking health and science claims — particularly useful in contexts where misinformation is common.
The 200M+ paper database skews toward biomedical, psychology, and social sciences — STEM coverage is strong while humanities and law are limited. The Consensus Meter is computed probabilistically and can be misleading if the included studies vary dramatically in quality; a meta-analysis carries more weight than five small observational studies but the meter doesn't always reflect that weighting. Premium filters for study type and journal quality help mitigate this.
The free tier allows 20 searches per day with study snapshots and basic filters — enough for occasional research. Premium at $8.99/month adds unlimited searches, GPT-4 synthesis, advanced filters, and citation export. Annual pricing at $74.99 ($6.25/month effective) is the best value for regular users.
Try it at consensus.app — no sign-up needed for free searches.
Visual breakdown showing what percentage of peer-reviewed papers agree, disagree, or are mixed on your research question.
One-sentence findings extracted from each paper with population, methods, and sample size metadata.
Premium AI-written paragraph summarizing the state of evidence with inline citations across top results.
Filter results by RCT, systematic review, meta-analysis, or observational study to focus on the strongest evidence.
Export references in APA, MLA, or BibTeX format directly from search results.
For Clinicians: Rapidly check the evidence base for clinical questions without manually reviewing individual studies.
For Health journalists: Verify medical claims against peer-reviewed evidence before publishing to avoid misinformation.
For Students: Learn to evaluate evidence quality and understand scientific consensus on course topics.
For Science communicators: Accurately represent the state of research on health, nutrition, and behavioral science questions.
AI Research Tools
Basic features included
20 searches/day, study snapshots, basic filters.
Unlimited searches, GPT-4 synthesis, advanced filters, citation export.
All Premium features billed annually — $6.25/month effective.
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