AI academic search engine for evidence-backed answers
Consensus is a strong choice for Researchers, students, clinicians, analysts and content teams needing paper-backed answers. It is most defensible when buyers need Evidence-focused answers from scientific papers and Consensus Meter and study summaries. The main buying risk is Not all topics have strong evidence.
Consensus is a AI academic search engine for evidence-backed answers for Researchers, students, clinicians, analysts and content teams needing paper-backed answers. Its strongest use cases are Evidence-focused answers from scientific papers, Consensus Meter and study summaries, and Useful for literature discovery.
Consensus is a AI academic search engine for evidence-backed answers for Researchers, students, clinicians, analysts and content teams needing paper-backed answers. Its strongest use cases are Evidence-focused answers from scientific papers, Consensus Meter and study summaries, and Useful for literature discovery. As of May 2026, the important buyer question is no longer only whether Consensus has AI features.
The better question is where it fits in the operating workflow, what limits or credits apply, which integrations provide context, and whether the vendor gives enough source-backed documentation for business use. Pricing note: Free access is available; paid Premium and team plans unlock higher usage and research workflow features. Best-fit summary: choose Consensus when Researchers, students, clinicians, analysts and content teams needing paper-backed answers.
Avoid treating it as a fully autonomous system; teams should validate outputs, permissions, data handling and usage limits before scaling.
Three capabilities that set Consensus apart from its nearest competitors.
Which tier and workflow actually fits depends on how you work. Here's the specific recommendation by role.
Evidence-focused answers from scientific papers
Consensus Meter and study summaries
Clear official sources and comparable alternatives.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Current pricing | See pricing detail | Free access is available; paid Premium and team plans unlock higher usage and research workflow features. | Buyers validating workflow fit |
| Free or trial route | Available | Check official pricing for current eligibility, trial terms and limits. | Buyers validating workflow fit |
| Enterprise route | Custom or plan-dependent | Enterprise pricing usually depends on seats, usage, security, admin controls and support needs. | Buyers validating workflow fit |
Scenario: A small team uses Consensus on one repeated workflow for a month.
Consensus: Freemium ·
Manual equivalent: Manual review and execution time varies by team ·
You save: Potential savings depend on adoption and review time
Caveat: ROI depends on adoption, output quality, plan limits, review requirements and whether the workflow is repeated often enough.
The numbers that matter — context limits, quotas, and what the tool actually supports.
What you actually get — a representative prompt and response.
Copy these into Consensus as-is. Each targets a different high-value workflow.
Role: You are Consensus, an AI that finds, reads, and synthesizes peer-reviewed literature. Task: Answer a single clinical question I will provide. Constraints: search literature from the past 10 years, prioritize randomized trials and systematic reviews, select the top 5 most relevant studies by relevance and sample size, produce one concise 150-word summary that states the overall finding and clinical implication, and give a simple evidence strength label (Strong / Moderate / Weak). Output format: 1) One-line conclusion, 2) 150-word evidence summary, 3) Evidence strength label, 4) Three citations with PMID or DOI. Example input: "Does daily low-dose aspirin prevent preeclampsia?"
Role: You are Consensus, summarizing scientific literature for academic use. Task: Create a 150-word paragraph summarizing evidence for the question I supply. Constraints: include 3 in-text citations formatted as [AuthorYear PMID/DOI], list the three primary supporting studies below the paragraph with sample sizes and exact quoted sentences (<=20 words) from each paper that support the claim. Only include peer-reviewed clinical or human studies. Output format: 1) 150-word paragraph with three in-text citations, 2) Bullet list of three studies with sample size and <20-word quoted supporting excerpt. Example input: "Caffeine intake and miscarriage risk."
Role: You are Consensus summarizing comparative evidence between two interventions I name. Task: Produce a structured comparison to inform a product roadmap decision. Constraints: 1) Limit to human clinical trials and meta-analyses, 2) report effect size range and median (with 95% CI where available), 3) list number of studies, total N, and top 3 supporting and top 2 opposing papers. Output format: a) 3-sentence executive summary, b) side-by-side bullets for Intervention A vs B (efficacy, safety, typical population), c) table-like bullets: number of studies, total N, median effect (95% CI), d) links to top 5 papers. Example input: "Intervention A: digital CBT app; Intervention B: face-to-face CBT for mild-moderate depression."
Role: You are Consensus, a literature-synthesis assistant for researchers. Task: Map current knowledge and propose next experiments for my topic. Constraints: 1) Provide 3 clearly numbered gaps in evidence with supporting citations, 2) propose 3 feasible follow-up experiments (brief methods, sample size justification, expected measurable outcome), 3) list five highest-impact papers with short rationale for impact. Output format: 1) One-paragraph overview, 2) Numbered gaps with citations, 3) Three proposed experiments as short protocol bullets (sample size and primary endpoint), 4) Top-5 papers with 1-line rationale each. Example input: "Microbiome modulation to reduce chemotherapy-induced mucositis."
Role: You are Consensus conducting high-level triage and heterogeneity analysis across many studies. Task: For a literature corpus on my question (I will paste or describe inclusion criteria), identify study clusters, quantify heterogeneity drivers, and provide an evidence-weighted pooled estimate where possible. Multi-step instructions: 1) List inclusion criteria and screening summary (N studies found, excluded, included); 2) Cluster studies by design/population/intervention and summarize each cluster (median sample size, common endpoints); 3) Identify top 5 sources of heterogeneity with citations and examples; 4) Provide a conservative pooled effect estimate and uncertainty with method described (random-effects) or explain why pooling is invalid. Output format: numbered steps with citations and brief numeric summaries. Few-shot example: show a short mock screening result and cluster output for guidance.
Role: You are Consensus acting as evidence synthesis lead for a regulatory briefing. Task: Produce a concise risk-benefit assessment and recommended regulatory actions for a therapeutic or device. Multi-step constraints: 1) Summarize pivotal efficacy trials and safety signals with exact quoted safety endpoints and sample sizes, 2) produce a 3x4 risk-benefit table (benefit rows, risk rows, columns: magnitude, certainty, key citations), 3) list 4 possible regulatory actions ranked by evidence strength with pros/cons, 4) call out any data gaps that would change the recommendation and what specific studies would resolve them. Output format: executive summary (<=200 words), risk-benefit table (bullet rows), ranked actions with citations. Provide a brief example of how to phrase an action and its evidence basis.
Compare Consensus with Elicit, SciSpace, Perplexity AI, Scite, Research Rabbit. Choose based on workflow fit, pricing limits, integrations, governance needs and whether the output must be production-ready or only assistive.
Head-to-head comparisons between Consensus and top alternatives:
Real pain points users report — and how to work around each.