Consensus

What is Consensus?

Consensus is an AI-powered academic search engine that searches over 200 million peer-reviewed research papers to deliver evidence-based answers to any question. Instead of returning a list of papers to read like Google Scholar, Consensus synthesises findings across multiple studies and tells you what the research actually shows — with direct citations to the source papers.

The core technology combines semantic search with AI synthesis. When you ask "does intermittent fasting reduce cardiovascular risk?" Consensus finds the most relevant studies across PubMed, Semantic Scholar, arXiv, and major academic databases, then summarises their findings in plain language while linking to each paper. Every claim traces back to a verifiable source.

What makes Consensus different from general AI tools like ChatGPT or Perplexity is that it only answers from peer-reviewed literature. It cannot hallucinate a citation because it only cites papers that exist in its index. For any question where scientific evidence matters, this reliability is the defining advantage.

Who is it for?

Consensus is built for academic researchers conducting literature reviews who need to identify the weight of evidence on a topic quickly, medical and healthcare professionals seeking clinical evidence to inform treatment decisions, graduate students writing theses who need to map the research landscape before diving deep, science journalists and fact-checkers who need to verify claims against peer-reviewed evidence, and policy analysts who need evidence-based research summaries on complex topics.

Key Features

• Evidence synthesis — AI summarises findings across multiple papers simultaneously, not just a single study
• Consensus Meter — visual indicator showing whether the overall research supports, disputes, or is mixed on a specific claim
• 200M+ paper database — searches PubMed, Semantic Scholar, arXiv, and major academic publishers
• Study type filters — filter results by RCT, meta-analysis, systematic review, or cohort study for higher-quality evidence
• Citation links — every answer links directly to the source paper with DOI
• Study snapshots — one-paragraph summaries of individual papers without reading the full text
• Copilot — AI assistant that helps refine searches and interpret complex findings
• GPT-4 synthesis — premium plan uses GPT-4 for higher-quality evidence synthesis and interpretation
• Year filters — limit results to recent literature to get the most current research

Consensus vs Competitors 2026

Consensus vs Elicit: Both are top-tier academic AI tools. Consensus excels at quick evidence-based answers and showing the overall research consensus on a claim. Elicit is better for structured literature reviews, extracting specific data points from papers, and building research workflows. Many serious researchers use both — Consensus for orientation, Elicit for deep extraction.

Consensus vs Perplexity: Perplexity is a general web search engine that includes some academic sources. Consensus searches only peer-reviewed literature and synthesises findings with academic rigour. For scientific questions, Consensus is significantly more reliable — Perplexity may cite blog posts or news articles alongside papers, blurring the evidence quality.

Consensus vs Google Scholar: Google Scholar finds papers but does not synthesise them. You get a list of titles and abstracts to read yourself. Consensus tells you what those papers collectively say. For literature discovery, Scholar. For understanding what the evidence shows, Consensus is faster and more useful.

Consensus vs ChatGPT: ChatGPT can fabricate citations that look real but don't exist. Consensus only cites papers in its verified database. For any research context where citation accuracy matters, Consensus is far more trustworthy.

Pricing 2026

The free plan is genuinely useful for occasional research — 20 searches per day covers most casual use. Premium at $11/mo is excellent value for anyone doing regular academic work: unlimited searches plus GPT-4 powered synthesis that noticeably improves answer quality.

Use Cases

Medical literature review: A physician wants to know the current evidence on a new treatment approach. Search Consensus, filter for systematic reviews and RCTs from the past 3 years, and get a synthesised summary of the clinical evidence in minutes rather than hours of reading.

Academic thesis research: A PhD student starting a literature review searches their topic to map the research landscape — identifying major findings, key debates, and gaps in the literature before narrowing their focus.

Health claim verification: Someone reads a headline claiming "coffee causes cancer" and wants to know what the actual research says. Consensus searches the literature and shows a nuanced picture — some studies show association, others show protective effects, with important caveats about dosage and study populations.

Science journalism: A journalist writing about sleep research searches Consensus to quickly identify the strongest peer-reviewed evidence on a claim, with citations they can reference in their article.

Corporate research: A team evaluating the evidence base for a new product formulation uses Consensus to map the scientific literature on key ingredients, identifying what's well-established versus what's still contested.

FAQ

Is Consensus AI accurate? Consensus is highly accurate for identifying what peer-reviewed research says on a topic. It only cites papers that exist in its database, eliminating hallucinated citations. However, research quality varies — use the study type filters to prioritise systematic reviews and RCTs for the strongest evidence.

Is Consensus free to use? Yes. Consensus offers 20 free searches per day with no credit card required. The free plan includes basic search and synthesis. Premium at $11/mo unlocks unlimited searches and GPT-4 powered synthesis.

How does Consensus differ from Google Scholar? Google Scholar finds papers and returns a list for you to read. Consensus synthesises findings across multiple papers and tells you what they collectively show, with citations. Scholar is better for discovering papers; Consensus is better for understanding what the evidence says.

Can Consensus replace reading research papers? No — it is a navigation and synthesis tool, not a replacement for primary sources. Use Consensus to identify which papers are most relevant and what they collectively show, then read the key papers in full for important decisions.

What databases does Consensus search? Consensus searches PubMed, Semantic Scholar, arXiv, and major academic publishers covering medicine, biology, psychology, economics, computer science, and social sciences. The database contains over 200 million peer-reviewed papers.

Is Consensus good for non-scientists? Yes. Consensus translates complex research findings into plain English with enough context to understand the evidence. You do not need a scientific background to use it effectively — the Consensus Meter and plain-language summaries make the evidence accessible to anyone.

How current is the Consensus database? Papers are indexed from major academic databases with regular updates. Most recent publications appear within weeks of publication. You can filter by publication year to limit results to the most recent literature.

Our Verdict

Consensus is the most reliable AI tool for evidence-based research in 2026. The core value proposition is simple and powerful: ask any scientific question and get an answer grounded exclusively in peer-reviewed literature, with every claim linked to a verifiable source. In a world where AI tools regularly hallucinate citations, this reliability is genuinely valuable.

The main limitation is database coverage — Consensus covers the major academic databases well but may miss very recent preprints or papers from smaller regional journals. The free tier's 20 searches per day is also restrictive for heavy users, though the $11/mo Premium plan is affordable for anyone doing regular research.

Best for: Academic researchers, medical professionals, graduate students, science journalists, and anyone who needs trustworthy evidence-based answers with verifiable citations.

Not ideal for: General web search, current events, topics without a significant peer-reviewed literature base, or quick answers where citation accuracy is not critical — Perplexity or ChatGPT are faster for those use cases.

Bottom line: If you need to know what science actually says on any topic, Consensus is the most reliable AI tool to find out.