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Consensus AI search engine extracts insights from scientific literature answering research questions with evidence strength ratings.
Editor's take: “Research-backed AI that surfaces scientific consensus reliably” — Sohail Akhtar
Free tier (verified July 2026): 20 searches/day with basic AI summaries — catch: GPT-4-enhanced analysis is Premium-only
Reviewed by Sohail Akhtar
Lead Editor & Founder
What we like
Limitations
✓ Free tier re-verified July 2026: 20 searches/day with basic AI summaries — GPT-4-enhanced analysis is Premium-only
| Plan | Details |
|---|---|
| Free | $0 — 20 searches per day, basic AI summaries, and access to the underlying papers. |
| Premium | $8.99/month — unlimited AI searches, GPT-4-enhanced result analysis, unlimited study snapshots, and advanced filters (date range, study type, journal quality). |
| Deep | $45/user/month — built for frequent, in-depth literature reviews. |
| Enterprise | Custom pricing — everything in Premium plus API access, team management, and custom integrations for institutions; negotiated by user count. |
Consensus has a free plan and paid upgrades. Free gives 20 searches per day with basic AI summaries and paper access. Premium is $8.99/month for unlimited AI searches, GPT-4-enhanced analysis, unlimited study snapshots, and advanced filters. The Deep plan is $45/user/month for heavy literature reviewers, and Enterprise is custom-priced with API access and team management.
Associated Tags
consensus ai research, scientific question answering, evidence strength rating, literature synthesis ai, consensus percentage ai, clinical evidence ai, policy research ai, phd literature review
Discover practical workflows and real-world scenarios where Consensus delivers key solutions.
Researchers rapidly validating whether scientific consensus exists on a hypothesis before investing in a study
Clinicians reviewing treatment evidence and identifying contradictory findings across published trials
Journalists and policymakers fact-checking scientific claims with evidence-graded sourcing rather than anecdote
PhD students and academics scoping the literature for gaps and consensus strength before writing a review
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