Consensus

Consensus is an AI academic search engine for peer-reviewed literature. It is built for researchers, students, clinicians, and library users who need to find papers, compare evidence, and review the state of a topic with cited AI analysis.

Key Highlights

• Searches and analyzes scholarly sources, including licensed full text from leading publishers
• Deep Search expands search terms, checks conflicting arguments, and explores the citation graph
• Medical mode focuses on about 50,000 clinical guidelines and 8M articles from top medical journals
• Natural language filters handle dates, populations, study designs, sample size, and similar constraints
• Consensus Meter shows agreement or disagreement for clear yes-or-no research questions

What Makes It Different

Consensus starts from academic search rather than general chat. The homepage centers peer-reviewed literature, transparent cited analysis, and workflows for finding consensus, drafting reports, and building comparison tables.

The more advanced layer is Deep Search. It builds a broader strategy, expands key terms, identifies conflicts, and follows citations so a literature review starts from an evidence map, not a single answer.

Features & Capabilities

You can ask a research question in plain language, inspect papers, and use cited AI responses to analyze results. Filters can be written into the prompt, such as large human studies, controlled studies, or work from a specific timeframe.

For clinical work, Medical mode narrows the corpus to guidelines and major journal articles. For heavier research, Deep reviews are designed for literature review tasks that need term expansion, disagreement checks, and citation exploration.

User Ratings and Testimonials

Check the cited evidence against your research question and inspect study methods and limitations. Compare results across relevant papers before drawing a conclusion. Free includes capped AI analysis, while frequent Deep reviews need a paid allowance.

Pricing & Value

• Free: $0/month, basic paper search, 10 Pro messages per month, and up to 3 Deep reviews per month
• Pro: $20/month, or $144/year ($12/month billed annually), unlimited Pro messages, 15 Deep reviews per month, and unlimited access to research tools
• Deep: $65/month, or $540/year ($45/month billed annually), everything in Pro, 200 Deep reviews per month, and unlimited access to research tools

Eligible students, faculty, and US clinicians can claim up to 40% off. Free is useful for testing search quality, while Pro or Deep fits regular cited analysis and review work.