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Consensus

Find the science, skip the noise

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Free tierFrom FreeConsensusFounded 2021Reviewed Jun 2026

Our take

Our verdict

7.6/10

AI-powered academic search engine indexing 220M+ peer-reviewed papers, with evidence-based summaries and a GPT-5 Scholar Agent for deep literature reviews.

Best for: Graduate students, clinicians, and researchers who need rapid, evidence-grounded answers from peer-reviewed literature

Overall score7.6/10
Capability8.0
Ease of use8.0
Value for money8.0
Reliability7.0
Support & docs6.0

Pros

  • 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

Cons

  • 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

  1. Graduate thesis research — Run a Deep Search on a complex research question and receive a structured literature overview with methodology breakdowns and citation maps.
  2. Clinical evidence checks — Use Medical Mode to quickly surface guideline-level evidence on a treatment question without manually searching PubMed.
  3. Science journalism and policy writing — Verify factual claims against the academic record and surface the Consensus Meter verdict on contested scientific questions.
  4. Corporate R&D scoping — Assess prior art and published findings in a technical domain before investing in a research direction.

Tags

Academic Search
Literature Review
Scientific Research
Evidence-Based

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

Pricing

Free
$0/month
  • 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

Pro
$15/month ($10/month billed annually)
  • 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)

Deep
$65/month ($45/month billed annually)
  • 200 Deep Searches per month

  • All Pro plan features included

  • Designed for power users with frequent review needs

  • 25% clinician discount available

Teams
Custom
  • All Pro features per seat

  • 50 Deep Searches per user per month

  • Centralized billing, up to 200 seats

  • Individual logins and usage tracking

Enterprise
Custom
  • 200+ users

  • University and institute licensing

  • Custom integrations and onboarding

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