
Consensus Review
AI Research ToolsAI-powered academic search engine for peer-reviewed research with consensus measurement
๐ฏ Our Verdict
Consensus is the best tool for quickly finding what peer-reviewed science says about a question. The Consensus Meter and Deep Search are unique capabilities not found elsewhere. Ideal for evidence-based decision making. For full systematic review workflows, pair it with Elicit.
Quick Decision Factors
What is Consensus?
Consensus is an AI-powered search engine built specifically for finding, understanding, and analyzing peer-reviewed academic research. The platform searches a corpus of over 200 million academic documents, including peer-reviewed journal articles, conference papers, and preprints aggregated from Semantic Scholar, OpenAlex, and Consensus's own scholarly web crawl. This database covers nearly all high-impact journals and the entirety of PubMed, making it one of the most comprehensive academic search tools available.
The platform's signature feature is the Consensus Meter, which visually indicates the level of scientific agreement on yes-or-no research questions by showing what percentage of studies support or contradict a claim. Deep Search automates comprehensive literature reviews by expanding key terms, identifying conflicting arguments, exploring citation graphs, and generating detailed reports that include methodology context, evidence patterns, a results timeline, top authors, and research gaps. Study Snapshots provide quick, structured summaries of individual papers with methodology, findings, and key takeaways. Medical Mode narrows results to high-quality medical sources, including clinical guidelines and top-ranked medical journals.
Consensus emphasizes AI reliability by grounding all responses in its database of peer-reviewed literature. The AI tools only summarize content from retrieved papers and do not generate answers from outside knowledge, which means the system cannot fabricate sources. Checker models verify relevance before summarization to reduce misinterpretation of source material. Every claim is cited and clickable, allowing users to trace information back to its original paper. The platform supports queries in multiple languages and integrates with reference managers including Zotero, Mendeley, and EndNote, with LibKey support for accessing paywalled articles through university libraries.
Pricing follows a tiered model. The free plan includes basic search and limited Deep Search access. Pro costs $10 per month (or $120 annually) with unlimited search and 15 Deep reviews per month. Deep costs $45 per month with 200 Deep reviews. Team and Enterprise plans add shared research libraries, centralized billing, and university site licensing. Students, faculty, and clinicians with valid credentials can receive up to 40 percent off subscriptions.
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โ ๏ธ Not Ideal For
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โ ๏ธ Limitations
Pricing
Free tier (limited) ยท Premium $8.99/mo ยท Pro $10-15/mo ยท Deep $45/mo ยท Teams $9.99/seat/mo ยท Subscription with tiered feature access
Free
Premium
Pro
Deep
Teams
๐ก Pricing Notes
Ratings
Scored on our 11-dimension framework (1-5 scale) Each score includes a written justification.
As simple as typing a research question
Affordable tiers with student discount; Deep Search quotas limit flexibility
Teams plan exists with shared libraries; basic compared to enterprise tools
University licensing available; limited broader enterprise features
MCP server is promising; no full REST API
Limited - fixed search interface with filtering options
High-quality academic synthesis; Consensus Meter is unique
Fast basic searches; Deep Search takes longer (by design)
Search โ Deep Search โ Scholar Agent workflow is good but not as deep as Elicit
Very low - standard citation formats exportable
Help center adequate; limited developer documentation
Consensus Comparisons
See how Consensus stacks up in head-to-head feature and pricing breakdowns
Consensus Alternatives in AI Research Tools
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AI Research ToolsElicit
AI research assistant that automates systematic review workflows with structured data extraction
๐ Data Gaps & Unknowns
๐ Sources
Based on publicly available features, pricing, documentation, and real user feedback. We do not accept payment for rankings or favorable coverage.