Consensus is an AI powered academic search engine built by the company Consensus. It helps researchers, students, and clinicians search, understand, and organize scientific literature. The company states it searches more than 220 million peer reviewed papers.
Instead of manually reviewing databases, users type research questions in plain language and receive synthesized answers with citations. The platform retrieves papers through semantic and keyword search first. AI is applied afterward to summarize findings and identify patterns across studies.
According to the company, every AI generated answer links back to the underlying papers rather than producing standalone model output. Consensus reports using a mix of commercial language models and fine tuned open source models depending on the feature.
Distinguishing features include the Consensus Meter, which visualizes whether studies agree on a question, along with a Research Agent, advanced filters, and tools for chatting directly with a paper’s full text. The company reports institutional licensing is available for universities.
Pricing
Consensus offers a free plan with unlimited paper searches, 15 Pro messages per month, 3 Deep Reviews per month, and 10 Study Snapshots per month. The Pro plan costs $15 per month or $120 per year, equivalent to $10 per month billed annually, and includes unlimited Pro searches plus 15 Deep Searches per month. Enterprise and university wide institutional licenses are also available, though the company does not publish pricing for that tier.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
-
✓
Semantic and keyword search across 220 million plus papers
-
✓
AI generated research synthesis with linked citations
-
✓
Consensus Meter shows agreement across cited studies
-
✓
Chat with a paper’s full text for direct questions
-
✓
Research Agent for multi step literature exploration
-
✓
My Library for saving and organizing paper collections
Use Cases
Literature Reviews
Researchers can identify relevant papers and generate evidence summaries quickly. Every conclusion traces back to the cited literature, which shortens the time spent on an initial review.
Student Research Assignments
Students can search scientific questions in natural language and receive summarized findings for coursework. Citations can be generated directly for academic writing, and institutional licenses simplify university wide access.
Evidence Based Clinical Research
Healthcare professionals can search peer reviewed medical literature and review synthesized findings backed by citations. The platform also offers a Medical Mode for this purpose.
Analyzing Individual Papers
Users can select a paper and ask questions about its methodology or conclusions using Chat with Full Text. This makes dense or technical papers easier to interpret without reading the entire document.
Assessing Scientific Consensus
Users asking yes or no research questions can see whether published evidence generally agrees, using the Consensus Meter. The meter also factors in study quality indicators such as methodology and recency.
Strengths & Weaknesses
Strengths
Grounds AI responses in cited scientific literature rather than open ended chat output.
Searches a database the company reports at more than 220 million research papers.
Includes AI tools built specifically for research workflows, such as the Consensus Meter.
Offers advanced academic search filters to improve precision of returned papers.
Supports organizing research through libraries and saved paper collections.
Weaknesses
The free plan limits access to several AI powered features every month.
Unlimited advanced AI functionality requires a paid Pro subscription.
Enterprise and institutional pricing is not published and requires direct contact.
Deep Reviews remain capped even on the paid Pro plan.
Who Is This For?
Academic Researchers: useful for speeding up literature reviews, evidence synthesis, and paper discovery.
University Students: helps find supporting research, understand papers, and generate citations for assignments.
Clinicians and Healthcare Professionals: provides research backed answers sourced from peer reviewed medical literature.
Research Organizations and Universities: institutional licensing enables organization wide access for faculty and students.
Frequently Asked Questions
How large is the paper database Consensus searches?
The company states its database contains more than 220 million peer reviewed research papers.
Does Consensus generate citations automatically?
Yes. AI generated responses include citations, and the platform also has a dedicated citation generator tool.
Is there a free way to try Consensus?
Yes, a free plan is available with unlimited paper searches but monthly limits on Pro messages, Deep Reviews, and Study Snapshots.
What does the Pro plan cost?
Pro costs $15 per month or $120 per year, which works out to $10 per month when billed annually.
Can universities get organization wide access?
Yes, Consensus offers institution wide licensing for universities and research organizations, though pricing is not public.
Is an API available for developers?
Public documentation does not describe API availability, so this is not confirmed as a current offering.
Does Consensus use my data to train its models?
The company states user data is not used for model training and is not shared with third parties.
Who is Consensus best suited for?
It is aimed at academic researchers, students, and clinicians who need literature backed answers rather than general AI chat.
What is the Consensus Meter used for?
It visualizes whether published studies generally agree on a yes or no research question, factoring in study quality indicators.
Does the paid plan remove all usage limits?
No. Pro unlocks unlimited Pro searches, but Deep Searches are still capped at 15 per month on that plan.
Consensus relies on OpenAI models for parts of its AI summarization, and builds its research corpus using Semantic Scholar and OpenAlex as academic data sources. These function as backend data and model providers rather than user facing app integrations. No public user facing integrations, such as reference manager or productivity tool connections, are currently listed.