Consensus
AI academic search engine that answers questions with evidence from 200M+ papers.
Consensus is a practical pick for evidence-hungry grad students and clinicians who need cited answers fast. The Consensus Meter, Deep Search, and Scopus integration make it a solid pairing with PubMed and Google Scholar, despite gaps in non-STEM coverage and selective full-text access.
Verified 7h ago · liveness 88/100 · cite: rightaichoice.com/tools/consensus
- Graduate students writing literature reviews
- Clinicians checking treatment effectiveness or guidelines
- Researchers exploring a new field and seeking consensus
- Students preparing evidence-based assignments
- Deep single-paper analysis or full-text reading
- Non-STEM fields like philosophy, arts, or literature
- Casual curiosity without need for citations
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Skip Consensus if you need exhaustive full-text reading or work in non-STEM fields where coverage is thin, or if you require real-time data without citations.
Going beyond the free tier's limited searches requires a Premium subscription at $10.99/mo, which might surprise heavy users.
Consensus's freemium model fits students and solo researchers on a budget, with a free tier for occasional use and a modest $10.99/mo Premium for heavy synthesizers. Compared to full literature review suites like Rayyan (which can cost more and have steeper learning curves), Consensus offers a low-cost entry point, though it lacks the deep workflow features of those tools.
In short
Consensus — AI academic search engine that answers questions with evidence from 200M+ papers. Best for Graduate students writing literature reviews, Clinicians checking treatment effectiveness or guidelines, Researchers exploring a new field and seeking consensus. Free to start; paid plans from $10.99/mo.
What people actually say about Consensus — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
73 mentions across 4 sources (Hacker News, Product Hunt, Stack Overflow, Lemmy) · researched Aug 18, 2026.
- +Cites sources for every AI-generated answer, boosting trust.
- +Consensus Meter visualizes agreement across studies clearly.
- +Filters by study type, sample size, and journal tier.
- +Medical Mode restricts results to top medical journals.
- +Chrome extension integrates with PubMed for quick access.
- −Coverage outside STEM and medicine is very limited.
- −Many results are abstract-only, not full text.
- −Free tier has limited searches per day.
- −Advanced features like CSV export require premium.
- −Not a substitute for single-paper deep analysis.
- • Premium required for advanced filters and CSV export
- • Third-party database access (Scopus) may need institutional subscription
Viability Score
How well maintained and how widely used is Consensus? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- AI-generated answers with citations from 200M+ papers
- Consensus Meter visualizes evidence agreement
- Deep Search automates literature reviews
- Medical Mode filters to top medical journals
- Natural language filters for study type, sample size, journal tier, timeframe
- Chrome extension for PubMed integration
- Scopus integration for cross-database search
- AI summaries for Scopus-indexed papers
- Save and organize research collections
- GPT-4 powered summaries (Premium)
- Licensed full-text content from leading publishers
- CSV export of results (Premium)
- Advanced filters (Premium)
About Consensus
Consensus is an AI-powered academic search engine built for researchers, clinicians, and students who need cited answers from peer-reviewed literature. It taps into a corpus of over 200 million papers, including licensed full-text content, and uses natural language processing to surface evidence-based responses. Unlike a traditional search engine, Consensus synthesizes findings and shows you where the science agrees—or doesn't. It's a practical tool for literature reviews, clinical checks, and evidence-based assignments, designed to accelerate the evidence synthesis stage of research. Core features include the Consensus Meter, which visualizes how much the evidence agrees on a question; Deep Search, which automates literature reviews; and Medical Mode, which filters results to top medical journals. You can apply natural language filters for study type (RCT, meta-analysis, clinical trial, systematic review), sample size, journal tier, and timeframe. The Chrome extension integrates with PubMed, and a recent Scopus integration lets you search both databases directly and get AI summaries for Scopus-indexed papers. These tools help you move from broad question to verified answer without manually sifting through dozens of abstracts. Consensus also supports saving and organizing research collections, and Premium users get GPT-4 powered summaries, advanced filters, and CSV export of results. It complements platforms like PubMed and Google Scholar by providing a faster route to consensus, but it doesn't replace deep single-paper analysis or full-text reading. Coverage is strongest in STEM and medicine; non-STEM fields like philosophy, arts, and literature are less represented, and full-text access is selective. Recent community discussions highlight that Consensus is evolving rapidly—six months in, users have been sharing feedback on its direction and memory management improvements. If you need evidence-backed answers fast, and you're willing to work within its
Behind the Verdict
We'd reach for Consensus when you're staring at a question like 'Does intermittent fasting improve metabolic health?' and need a quick, cited summary of what the studies actually say. It's not a substitute for reading papers critically—you'll still want to dive into the full text for nuance—but it cuts the time you spend skimming abstracts to find a consensus. Where it really shines is in medicine and STEM, where the evidence base is dense and the filters (study type, journal tier, sample size) align with how research is actually judged. Medical Mode is a nice touch for clinicians who want to stay within high-impact journals. The Scopus integration is a recent win, letting you search both PubMed and Scopus in one place and get AI summaries for Scopus-indexed papers—handy if you're already working across both databases. But be honest about its limits. Non-STEM coverage is thin, so if you're a philosophy or literature student, this won't be your primary tool. Full-text access is selective—you'll often get abstracts or key excerpts rather than the entire paper. And it's not for real-time data or preprints; you'll need Google Scholar or arXiv for that. Compared to Google Scholar, which returns raw lists, Consensus adds the synthesis layer you'd otherwise build yourself. It's less comprehensive than a full systematic review but far more efficient for quick checks. We'd pair it with PubMed for exhaustive searches and use Consensus to validate or refute a hypothesis quickly. Pricing is reasonable: a free tier for basic searches and a Premium plan ($10.99/mo) that unlocks GPT-4 summaries, advanced filters, and CSV export. For the time it saves, it's a decent trade-off. Community chatter from the first six months shows the product is still maturing—users are giving feedback
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Real-world workflow fit
Concrete scenarios for the personas Consensus actually fits — and what changes day-one when you adopt it.
You need to assess the evidence on whether ketamine is effective for depression. You search Consensus, filter by study type and sample size, and use the Consensus Meter to see the overall support. You save relevant papers to a collection and export the list for your review.
Outcome: You save hours of literature searching and have a clear visual summary of the evidence to cite.
A patient asks about the efficacy of a new medication. You open the Consensus Chrome extension while in PubMed, enter the question, and use the Medical Mode filter to see top journal results and the Consensus Meter.
Outcome: You quickly verify the strength of evidence and can discuss it with the patient, improving shared decision-making.
Use Cases
- Quickly check scientific consensus on a claim before citing it
- Find studies supporting or refuting a hypothesis for a grant proposal
- Generate a literature summary for a class assignment or presentation
- Verify the strength of evidence behind a health or policy claim
- Perform exploratory research on a new topic with limited time
Models Under the Hood
as of 2026-08-23
Limitations
- AI summaries sometimes miss nuances, and free tier limits apply.
- Coverage varies by field and full-text access is limited.
as of 2026-08-15
Verification history
We have re-verified Consensus 67 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 67 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Consensus tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Students or casual researchers who need occasional evidence checks and are okay with basic filters and no GPT-4 summaries.
What this tier adds
Starter tier with AI answers, Consensus Meter, and basic filters—no cost, but limited access to premium features like Deep Search.
Premium
$10.99/mo
Ideal for
Grad students, clinicians, and researchers who need GPT-4 summaries, Deep Search, advanced filters, and CSV export for literature reviews.
What this tier adds
Adds GPT-4 powered summaries, Deep Search, advanced filters, CSV export, and Scopus integration for $10.99/mo.
Where the pricing makes sense
The company stage and team size where Consensus's pricing actually pencils out — and where peers do it cheaper.
Consensus's freemium model fits students and solo researchers on a budget, with a free tier for occasional use and a modest $10.99/mo Premium for heavy synthesizers. Compared to full literature review suites like Rayyan (which can cost more and have steeper learning curves), Consensus offers a low-cost entry point, though it lacks the deep workflow features of those tools.
Setup time & first value
How long it actually takes to get something useful out of Consensus — broken out by persona, not the marketing-page minute.
For a graduate student, you can get your first answer within minutes of signing up, and the Chrome extension takes less than a minute to install. Clinicians can similarly start using the extension immediately. For full feature utilization, including Deep Search and collections, expect under 30 minutes to explore the interface.
Switching to or from Consensus
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Google Scholar: If you're tired of sifting through unranked results, you can use Consensus to get cited answers faster, though you may still need Scholar for comprehensive discovery.
- ↗To a comprehensive review tool like Rayyan: If your project requires systematic review workflows, you can export your Consensus findings and import them into Rayyan for deeper screening.
Integrations
Resources & Guides
Tutorials & Learning
Tools that pair well with Consensus
Common stack mates teams adopt alongside Consensus, with the specific reason each pairing earns its keep.
Semantic Scholar
Free AI search engine for 237M+ scientific papers with TLDR summaries and API access.
Scholarcy
AI academic summarizer that condenses research papers into structured notes and study tools
Metaso AI
Chinese-language search engine that returns cited, synthesized answers instead of link lists.
Featured Head-to-Head Comparisons
Consensus vs Semantic Scholar
If you need synthesized, cited answers for a research question—especially in medicine or STEM—Consensus is the evidence-filtering workhorse. But if your priority is unrestricted, free search across a larger corpus with developer-friendly API access and quick TLDR summaries, Semantic Scholar is the no-brainer. Choose Consensus for depth and consensus visualization; choose Semantic Scholar for breadth and zero cost.
Consensus vs Litmaps
If you're mapping a research landscape and tracking how papers relate over time, Litmaps is the clear winner — its visual, citation-based approach is unmatched. But if you need quick, evidence-backed answers to clinical or STEM questions, Consensus is your tool. Choose based on whether you prioritize seeing the whole field or zeroing in on specific consensus.
Consensus vs Scispace
If your core need is quickly synthesizing evidence from millions of papers—especially in STEM and medicine—Consensus is the sharper tool with its Consensus Meter and medical filters. If you want an all-in-one workspace to read, write, and cite with AI assistance, SciSpace offers a broader feature set, including PDF chat and citation generation. Choose based on whether you lean toward discovery or drafting.
Consensus vs Perplexity
If your work lives in peer-reviewed research — literature reviews, evidence-based medicine, or diving into a new STEM field — Consensus is the clear pick with PubMed/Scopus integration, study-type filters, and consensus visualization. If you need current, broad web answers with citations for everyday or professional research, Perplexity’s real-time search and file uploads are more versatile. Choose based on your primary source domain: academic literature vs. live web.
Alternatives to Consensus
View allSemantic Scholar
Free AI search engine for 237M+ scientific papers with TLDR summaries and API access.
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