Consensus
Find the science, skip the noiseAI-powered academic search engine indexing 220M+ peer-reviewed papers, with evidence-based summaries and a GPT-5 Scholar Agent for deep literature reviews.
- Maker
- Consensus
- Founded
- 2021
- Pricing
- Free tier
- Last checked
- October 2026
Verdict
AI-powered academic search engine indexing 220M+ peer-reviewed papers, with evidence-based summaries and a GPT-5 Scholar Agent for deep literature reviews.
Score breakdown
vs Gemini Notebook, the category leaderGraduate students, clinicians, and researchers who need rapid, evidence-grounded answers from peer-reviewed literature
Key features
- Natural-language semantic search across 220M+ peer-reviewed papers
- Consensus Meter: yes/no/possibly visualization aggregated from top cited studies
- Scholar Agent: multi-agent GPT-5 system that automates full literature review workflows
- Deep Search: automated overview reports for a research question
- Study Snapshots: per-paper AI summaries with methods, sample size, and key finding
- Ask Paper: conversational Q&A against individual uploaded or linked papers
- Medical Mode: filtered corpus of clinical guidelines and high-impact medical journals
- Custom lists and bookmarks for organizing findings across projects
Strengths
- +220M+ paper corpus sourced from OpenAlex, Semantic Scholar, and exclusive partnerships with Taylor & Francis, Sage, and ACS
- +Scholar Agent (GPT-5 + OpenAI Responses API) automates multi-step literature reviews end-to-end
- +Consensus Meter gives an instant yes/no/possibly verdict across top 20 cited papers
- +Medical Mode (launched Oct 2025) filters to 50K clinical guidelines and 8M top-journal articles
- +40% student discount makes Pro $6/month — among the cheapest serious academic AI tools available
Weaknesses
- −Coverage noticeably weaker in humanities and social sciences compared to STEM and health sciences
- −Deep Search runs (full automated literature reviews) are quota-gated even on the $65/month Deep plan
- −Full-text access depends on publisher partnerships; many papers still return abstract-only results
- −Summaries can oversimplify nuanced or contested research findings
Overview
Overview
Consensus is an AI-powered academic search engine founded in 2021 by Eric Olson (CEO) and Christian Salem. Headquartered in the US, the company has built a corpus of 220M+ peer-reviewed papers drawn from OpenAlex and Semantic Scholar, supplemented by exclusive full-text partnerships with Taylor & Francis, Sage, and the American Chemical Society. As of 2026, Consensus has relationships with 170+ university libraries.
The product’s core premise is answering research questions with citations rather than hallucinations. Users type a natural-language question and receive ranked paper results, per-paper Study Snapshots, and a Consensus Meter that aggregates findings across top-cited studies into a yes/no/possibly verdict. In late 2025, Consensus launched Scholar Agent — a multi-agent system built on GPT-5 and the OpenAI Responses API — enabling fully automated literature review workflows that previously took days. A concurrent Medical Mode filtered the corpus specifically for clinical guidelines and high-impact medical journals, strengthening the tool’s appeal for evidence-based medicine.
A September 2025 head-to-head evaluation against Google Scholar across 500 queries gave Consensus 4.6% higher average precision. Coverage is strongest in life sciences, medicine, and physical sciences; humanities and qualitative social science research are noticeably thinner.
Key Benefits
- Evidence-grounded answers: Every claim links directly to peer-reviewed sources; the Consensus Meter shows whether the literature broadly agrees or is split.
- GPT-5 Scholar Agent: Automates multi-step literature reviews end-to-end, compressing days of reading into minutes with structured, cited outputs.
- Affordable academic pricing: At $10/month annually (or $6/month with a student discount), it undercuts direct competitors like Scite (
$20/month) and Elicit Pro ($50/month). - Medical Mode: Clinicians get a purpose-filtered corpus of clinical guidelines and top-journal articles, useful for rapid evidence checks at the point of care.
Use Cases
- Graduate thesis research — Run a Deep Search on a complex research question and receive a structured literature overview with methodology breakdowns and citation maps.
- Clinical evidence checks — Use Medical Mode to quickly surface guideline-level evidence on a treatment question without manually searching PubMed.
- Science journalism and policy writing — Verify factual claims against the academic record and surface the Consensus Meter verdict on contested scientific questions.
- Corporate R&D scoping — Assess prior art and published findings in a technical domain before investing in a research direction.
Pricing
Checked October 2026 · USD- Unlimited searches across 220M+ papers
- 10 Pro Analyses per month (GPT-4 powered)
- 10 Study Snapshots per month
- 10 Ask Paper messages per month
- 10 bookmarks, 1 custom list
- 15 Deep Searches per month
- Unlimited Pro Analyses
- Unlimited Study Snapshots and Ask Paper messages
- Unlimited bookmarks and custom lists
- 40% student discount available (.edu email)
- 200 Deep Searches per month
- All Pro plan features included
- Designed for power users with frequent review needs
- 25% clinician discount available
- All Pro features per seat
- 50 Deep Searches per user per month
- Centralized billing, up to 200 seats
- Individual logins and usage tracking
- 200+ users
- University and institute licensing
- Custom integrations and onboarding