Watch: It is not a replacement for expert literature review
Tool Research freemium active Below 8
Consensus
Consensus is an AI academic search engine indexing 220M+ peer-reviewed...
7.5/10 Useful
Active
Monthly $0-$65/month Annual Teams/Enterprise custom
Best plan
$0-$65/month
Risk: It is not a replacement for expert literature review
Try Consensus freeAffiliate link; no extra cost to you.
Rankings stay editorial.
Should you use it?
Consensus is an AI academic search engine indexing 220M+ peer-reviewed papers. The Consensus Meter shows what share of returned studies support, oppose, or qualify a yes/no claim. Free includes limited Pro and Deep use; Pro is $15/month or $120/year for unlimited Pro messages and 15 Deep reviews/month; Deep is $65/month or $540/year for 200 Deep reviews/month. Pick it for fast evidence orientation in scientific and academic literature. Skip for software docs, current events, formal systematic reviews, or high-stakes decisions that require expert review.
- Buy if Researchers running literature reviews
- Pick $0-$65/month; Teams/Enterprise custom
- Skip if Software, documentation, or current-events research
Plan guidance
What to buy
Use the official pricing page before purchase because AI plans change often.
It is not a replacement for expert literature review
Fit
Use it for this, skip it for that
Best for
- Researchers running literature reviews
- Medical and clinical professionals checking evidence
- Students writing cited papers
- Journalists verifying scientific claims
Avoid if
- Software, documentation, or current-events research
- Humanities topics where the best evidence is outside journal literature
- Nuanced interpretation of contested topics
- Users who need full-paper retrieval every time
- Watch out
- It is not a replacement for expert literature review. Check the underlying papers, inclusion criteria, and recency before making clinical, legal, or investment decisions.
Alternatives
Best swaps
Semantic Scholar
Build comparison Free AI-powered academic search engine from Ai2 with 234M+ live searchable papers, citation trails, recommendations, datasets, a
Free · 8.8/10 ElicitAI research assistant that automates systematic literature review, paper screening, and structured data extraction from 138M+ ac
$0-$169/user/month · 8.5/10 HarveyDomain-specific AI platform for legal and professional services. Assistant, Vault, Knowledge, Contract Intelligence, Command Cen
Contact sales (reported ~$1,000-$1,200 per lawyer/month) · 8.3/10Consensus comparisons
See all →Proof and score math Verified Jun 28
Proof
Why this recommendation is trusted
Evidence Consensus official site
- Source
- Registered source
- Freshness
- Current
- Confidence
- Medium confidence
- Verified
- Review
- Volatility
- Volatile
High-volatility evidence needs frequent review.
Editorial score
Unweighted average of 4 axes · confidence high
- Utility 8/10
How much real work it can do for a competent operator, end to end.
- Value 8/10
What you get for the dollar relative to the closest alternative.
- Moat 7/10
How hard it would be for a competitor to replicate the underlying advantage.
- Longevity 7/10
How likely the product is to still be best-in-class 24 months out.
Verified facts
- Best For Research teams and students who need literature search with paper-level answers, study summaries, and a quick read on whether the evidence agrees.
- Pricing Anchor Freemium research-search product. The June 28 pricing and subscription check confirmed Free, Pro at $15/month or $120/year, Deep at $65/month or $540/year, and Team/Enterprise custom sales paths; the older Premium wording is stale.
- Watch Out For It is not a replacement for expert literature review. Check the underlying papers, inclusion criteria, and recency before making clinical, legal, or investment decisions.
- Evidence Surface Consensus is strongest when the question can be answered from academic literature rather than general web sources; its product centers paper search, summaries, and evidence synthesis.
- Deep Search Update Consensus 2.0 lets Deep Search run inside Library and Collections, with longer analysis across up to 50 relevant papers and custom outputs such as PICO or SPIDER reviews, reading lists, scoping maps, and custom reports. The June 22 changelog also added collection sharing and expanded uploads for private research documents.
- Workflow Surface Use it before drafting or buying research databases: ask a focused question, inspect cited papers, then move durable conclusions into notes or editorial evidence.
Full review notes Long-form details, FAQ, and source history
Consensus is an AI-powered academic search engine built by Consensus Inc. Its current help docs say it searches over 220 million peer-reviewed papers and synthesizes findings into cited answers. The signature feature is the Consensus Meter, which visualizes study agreement for yes/no research questions.
Consensus says more than 7 million researchers, students, and professionals use it. Its best fit is questions where the answer lives in peer-reviewed academic literature, not general web pages, software docs, or current events.
June 28, 2026 pricing check: the old $11.99/mo Premium language is no longer the safest buyer wording. Consensus now presents a cleaner Free / Pro / Deep ladder, with Pro at $15/month or $120/year and Deep at $65/month or $540/year. Team and Enterprise plans are custom. The June 18 Consensus 2.0 changelog also makes Deep more useful for saved-paper workflows because Deep Search now works inside Library and Collections, and the June 22 changelog adds collection sharing and expanded uploads for private research documents.
System Verdict
Pick Consensus for fast evidence orientation on research questions with a clear yes/no framing. The Consensus Meter reads at a glance and links straight to source papers. Pro messages and Deep reviews compress evidence triage into minutes when the question fits the academic corpus.
Skip it for contested debates where nuance matters more than direction. The meter does not weight study quality, effect size, or publication bias. Engineering and humanities coverage is thinner than biomedical or social science.
Who pays which tier: Free for students and occasional users with limited Pro/Deep use, Pro for routine research and unlimited Pro messages, Deep for frequent literature reviewers who need 200 Deep reviews/month, and Teams/Enterprise for labs, departments, and universities.
Key Facts
| Product type | AI-powered academic paper search with evidence synthesis |
| Papers indexed | 220M+ peer-reviewed papers; search docs also describe scientific documents from Semantic Scholar, OpenAlex, Consensus’s own crawl, and publisher partnerships |
| Signature feature | Consensus Meter (study agreement visualization) |
| Free tier | Basic paper search plus limited Pro/Deep usage; June 28 subscription docs showed 15 Pro messages/month and 3 Deep reviews/month |
| Pro | $15/month or $120/year; includes unlimited Pro messages and 15 Deep reviews/month |
| Deep | $65/month or $540/year; includes 200 Deep reviews/month |
| Teams / Enterprise | Sales path for teams, labs, departments, and institutions |
| Pro features | Unlimited Pro messages, Study Snapshots, Ask Paper, and a monthly Deep review allowance |
| Recent product change | Deep Search now works inside Library and Collections and can produce custom literature-review outputs; collection sharing and expanded uploads landed June 22 |
| User base | 7M+ researchers, students, and professionals |
| Best-fit coverage | Scientific and academic questions with dense peer-reviewed literature; weaker for software docs, current events, and sources outside journal literature |
Every data point above was verified against vendor documentation on 2026-06-28. See Sources.
What it actually is
A natural-language academic search. Users ask a research question in plain language. Consensus returns cited findings from peer-reviewed papers plus the Consensus Meter for yes/no questions.
Pro adds unlimited Pro messages, Study Snapshots, Ask Paper, and a monthly Deep review allowance. Deep is the higher-use plan for frequent literature-review work. Filters narrow by study design, publication date, sample size, and journal impact.
The moat: a curated academic index, relevance ranking, publisher full-text partnerships when available, and the Consensus Meter as a product-defining UX element. The weakness: it is still a literature-discovery layer, not a substitute for database searching, methods appraisal, or access to every paywalled paper.
When to pick Consensus
- Running a literature review on a question with a clear scientific or academic evidence base. The Consensus Meter orients the state of evidence in under 30 seconds.
- Clinical or healthcare evidence checks. Fast cross-reference against peer-reviewed studies before reading guidelines, source papers, or a clinician-authored review.
- Student papers needing cited sources. Citation export in RIS, BibTeX, APA, or MLA saves hours.
- Journalist verifying a scientific claim. Direct links to abstracts and year-of-publication metadata support fast fact-checking.
- Pro messages and Deep reviews across study sets. Pro messages summarize up to a focused set of papers; Deep reviews are the higher-effort mode for more complex literature-review questions.
When to pick something else
- Structured systematic review workflow: Elicit. Deeper custom analyses and review templates.
- Broadest academic database with no AI: Semantic Scholar (free). Wider field coverage than Consensus.
- Citation context and smart citations: Scite. Highlights supporting and contrasting citations within papers.
- General cited AI search beyond academia: Perplexity.
- Neural web search API for research pipelines: Exa.
Pricing
Pricing via consensus.app/pricing:
| Plan | Price | What you get |
|---|---|---|
| Free | $0 | Unlimited Papers searches, 15 Pro messages/month, 3 Deep reviews/month, and 10 Study Snapshots/month |
| Pro | $15/mo or $120/yr | Unlimited Pro messages, 15 Deep reviews/month, Study Snapshots, Ask Paper, core research tools |
| Deep | $65/mo or $540/yr | 200 Deep reviews/month and the Pro feature set |
| Teams / Enterprise | Custom | Centralized billing, team/institutional access, admin and higher-volume paths |
Prices verified 2026-06-28 via Consensus pricing and the Consensus subscription plans help page.
Against the alternatives
| Consensus Pro | Elicit Pro | Semantic Scholar | |
|---|---|---|---|
| Price | $15/mo or $120/year | Starts higher than Consensus for formal review workflows | Free |
| Papers indexed | 220M+ | Large academic corpus | Large academic corpus |
| Evidence meter | Consensus Meter | None | None |
| Workflow depth | Quick synthesis | Structured systematic review | Raw search |
| Data extraction | Pro messages / Deep reviews / Study Snapshots | Column-based extraction | None |
| Best viewed as | Evidence orientation tool | Systematic review toolkit | Free academic baseline |
Failure modes
- Meter oversimplifies contested topics. Percentage agreement can hide effect size, evidence quality, and publication bias. Use it as orientation, not as a verdict.
- Coverage depends on academic-index fit. Software docs, current events, books, archival humanities sources, and niche older materials need a second search path.
- Free tier caps bite fast. Limited Pro/Deep usage kills heavy-use days. Active researchers should go Pro; frequent literature reviewers should evaluate Deep.
- Full-text access is conditional. Consensus can use full text from open-access papers, institutional/library connections, and selected publisher partnerships when available. Paywalled articles may still require publisher or library access.
- Not a substitute for reading originals. Nuanced interpretation still requires the full paper. Consensus surfaces candidates; it does not replace close reading.
- Uploaded-paper chat depends on source quality. Treat Ask Paper answers as a reading aid and check citations, methods, and extracted details before relying on them.
Methodology
This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and model details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-28 against Consensus pricing, the Consensus subscription plans help page, How Consensus Works, the Consensus product changelog, and Consensus Search Best Practices.
FAQ
Is Consensus free? Yes. Free includes basic paper search plus limited AI analysis. The June 28 pricing check found Pro at $15/month or $120/year, and Deep at $65/month or $540/year.
How many papers does Consensus index? Consensus says its database covers over 220 million peer-reviewed research papers. Its public search guide says the broader corpus includes scientific documents across domains, primarily peer-reviewed journal articles plus some conference papers and preprints.
Can the Consensus Meter be trusted for clinical decisions? Use it as orientation, not as final guidance. The meter shows directional agreement across returned papers, but it does not replace risk-of-bias review, effect-size analysis, guidelines, or expert judgment. Read originals before acting.
Consensus vs Elicit? Consensus is fast evidence orientation with the Meter. Elicit is a structured systematic review toolkit with deeper custom extraction. Pick Consensus for speed; pick Elicit for formal review workflows.
Does Consensus analyze full papers? Sometimes. Consensus can use available full text from open-access papers, selected publisher partnerships, and connected institutional access. When full text is not available, treat its answer as a discovery layer and verify against the original paper or your library access.
Is there an enterprise tier? Yes. Consensus ships Teams for research groups and Enterprise for 200+ seat institutions with SSO and team analytics. Pricing is custom.
Sources
- Consensus pricing: current Free, Pro, Deep, and team/enterprise pricing surface
- Consensus subscription plans help: current Free, Pro, Deep, Teams, and Enterprise allowances
- How Consensus Works: current corpus size, user-count claim, and search process
- Consensus Search Best Practices: corpus composition, data sources, and publisher partnership context
- Consensus product changelog: June 18, 2026 Consensus 2.0 and Deep Search in Library update
Related
- Category: AI Research
- Plan guide: Consensus Pricing for Students and Researchers
- Comparisons: Consensus vs Elicit
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According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/consensus/) aipedia.wiki Editorial. (2026). Consensus: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/consensus/ aipedia.wiki Editorial. "Consensus: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/consensus/. Accessed July 2, 2026. aipedia.wiki Editorial. 2026. "Consensus: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/consensus/. @misc{consensus-editorial-review-2026,
author = {{aipedia.wiki Editorial}},
title = {Consensus: Editorial Review},
year = {2026},
publisher = {aipedia.wiki},
url = {https://aipedia.wiki/tools/consensus/},
note = {Accessed: 2026-07-02}
} Spotted an error or want to share your experience with Consensus?
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