Elicit vs Consensus

Elicit vs Consensus for AI research: compare accuracy, sources and pricing in 2026.

	Elicit Best for: AI research assistant for systematic literature review and paper analysis	Consensus Best for: AI search across 220M+ academic papers with consensus-finding summaries
Overview	AI research tool used by 2M+ researchers for systematic literature review. Finds, summarizes, and extracts data from academic papers. Free 2 reports/mo; Plus ~$10/mo; Pro ~$42/mo.	Academic search engine that finds and synthesizes scientific evidence across 220M+ research papers. Free limited; Pro $15/mo; Teams $9.99/seat/mo. Best for medical, scientific, and policy questions.
Pricing	Freemium	Freemium
Users	2M+	1M+
Advantages	✅Structured data extraction turns paper lists into organized tables of findings ✅2M+ researchers have validated it as a standard systematic review tool ✅PDF upload enables analysis of papers not in the database ✅Automation for recurring research questions that need periodic literature updates ✅Pro API access enables integration into custom research workflows	✅Searches 220M+ peer-reviewed papers — vastly larger than most academic tools ✅Consensus Meter synthesizes whether research supports or contradicts a claim ✅Per-paper AI summaries extract key findings without reading full papers ✅Filter by study type (RCT, meta-analysis) for evidence quality assessment ✅Teams plan at $9.99/seat/mo affordable for research groups
Disadvantages	❌Report limits on Free (2/mo) and Plus (15/mo) restrict high-volume researchers ❌Less useful for qualitative research where insights are contextual ❌Strong bias toward quantitative empirical research — humanities less well-served ❌Pro at $42/mo and Team at $79/mo expensive for academic budgets	❌Less useful for humanities, historical, or legal research domains ❌Biased toward English-language literature ❌Consensus Meter oversimplifies complex scientific debates to a simple metric ❌Free daily search limit too restrictive for active researchers
Rating	…	…
Website	elicit.com	consensus.app
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Verdict: Which Should You Choose?

Choose Elicit if…

✅ You conduct systematic literature reviews and need to extract structured data from many papers
✅ You want to automate the screening and data extraction phase of academic research
✅ You need tables summarizing specific fields (sample size, methodology, outcomes) across studies
✅ You're a researcher doing meta-analysis who processes dozens to hundreds of papers

Choose Consensus if…

✅ You want quick, plain-language answers backed by peer-reviewed papers
✅ You need consensus meters showing how many studies agree or disagree on a claim
✅ You're a student, clinician, or policy professional who needs fast evidence-based answers
✅ You want a simpler interface for finding scientific consensus without data extraction

Frequently Asked Questions

What is Elicit?

Elicit is an AI research assistant designed for systematic literature reviews. It searches academic databases, screens papers for relevance, and extracts structured data into tables — automating the most time-consuming parts of academic research. It's used by researchers, scientists, and evidence synthesis teams.

What is the difference between Elicit and Consensus?

Elicit is built for systematic reviews — it extracts structured data from papers into tables for meta-analysis. Consensus is built for fast Q&A — it synthesizes findings from papers into plain-language answers with a consensus meter. Elicit is for deep research workflows; Consensus is for quick evidence-based answers.

Is Elicit free?

Elicit has a free plan with 5,000 credits per month (roughly 500 paper summaries). Elicit Plus is $12/month for 15,000 credits, and higher tiers are available for teams and institutions.

Can Elicit replace a research assistant?

Elicit can handle the mechanical parts of systematic reviews: paper screening, data extraction, and summarization. It significantly reduces research assistant hours for literature reviews. However, expert judgment for quality assessment and interpretation of findings still requires human researchers.