Consensus AI Adds Full-Text Analysis of 300M Research Papers
Consensus has expanded its AI-powered research engine to analyze the full text of over 300 million scientific papers, moving beyond abstract-only analysis to provide deeper, more nuanced evidence-based answers.
Consensus, the AI-powered academic search engine, has announced a major expansion of its platform to analyze the full text of over 300 million scientific papers. Previously limited to analyzing abstracts, the upgrade enables significantly deeper evidence synthesis and more nuanced answers to research questions.
Full-text analysis allows Consensus to find relevant evidence buried in methodology sections, results tables, discussion paragraphs, and supplementary materials that abstracts do not capture. In internal testing, full-text analysis identified 3x more relevant evidence per query compared to abstract-only analysis.
The platform introduces Study Quality Assessment, where the AI evaluates the methodology, sample size, statistical rigor, and potential biases of each cited study. Answers now include quality indicators that help users distinguish between strong and weak evidence, addressing a common criticism of AI research tools.
Consensus has also added a Synthesis Report feature that generates structured literature reviews on any topic, complete with methodology descriptions, evidence tables, meta-analytic summaries, and identification of research gaps. Reports typically synthesize 50-200 relevant papers and take 2-5 minutes to generate.
The expanded platform is available on Consensus's Premium plan at $9.99/month for individuals and $6.99/month per seat for institutions. The company reports over 2 million monthly active users, with strong adoption among graduate students, medical professionals, and policy researchers.
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