Based on user reviews
Rating Distribution
Marcus Chen
about 2 months ago
Been using Consensus for about three months on my thesis research. The Consensus Meter is genuinely useful for yes/no questions - seeing that 73% of papers agree on something beats scrolling through abstracts for hours. Deep Search saved me probably two weeks of lit review work. The free tier felt limiting after a few searches, so I grabbed the Pro plan. My main gripe? Still misses some niche papers in my field, and occasionally the summaries oversimplify complex methodology. Zotero integration works smoothly though.
Marcus Chen
about 2 months ago
Spent three months comparing this to traditional databases. The Consensus Meter actually shows me where studies disagree, not just what's popular. Deep Search saved hours on my literature review, though the pricing stings if you're doing this casually.
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How To Use Consensus AI - Don’t Get Left Behind!
Dr. William Bobos
Dr. William Bobos, an expert in AI tools, has evaluated Consensus for Scientific Research and rates it 4.0/5 based on 2 user reviews. The tool demonstrates particular strength for scientists who need AI tools capabilities.
Pricing: $0 – $65 / month(Updated December 2025)
Free tier at $0/month with limited features (3 Deep Searches, 25 Pro Analyses, 10 Study Snapshots per month). Pro plan at $15/month or $120/year ($10/month annually). Deep plan at $65/month or $540/year ($45/month annually). Teams plan with custom pricing starting at $9.99 per seat per month. Enterprise plan with custom pricing available upon request.
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
The free tier of Consensus provides scientists with a risk-free way to experience scientific research capabilities. Free users get access to fundamental features that are perfect for learning and basic workflows. Paid subscriptions unlock advanced tools, increased capacity, and professional features tailored for scientists with complex scientific research needs.
Consensus is an AI-powered academic search engine that analyzes and summarizes findings from over 200 million peer-reviewed research papers. It uses semantic AI embeddings combined with keyword searching to understand research queries in natural language, and provides evidence-based answers through AI-generated summaries grounded in academic literature. Key features include the Consensus Meter for yes/no questions showing research agreement, Deep Search for comprehensive literature reviews, Study Snapshots for quick paper overviews, Ask Paper for direct document interaction, advanced filtering by publication year, journal rank, citation count, study methodology and field of study, and integration capabilities with citation managers like Zotero and Mendeley.
Understanding the core functionality and approach of Consensus.
Consensus charges based on real activity, making it ideal for variable workloads. Budget planning becomes simpler when costs directly reflect output volume. Usage-based billing keeps costs aligned with real adoption.
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Official API docs and clear auth flows—ideal for custom automations. Automation handles the repetitive work so teams can focus on strategy.
Official SDKs handle authentication, retries, and error handling automatically.
Trigger-based flows keep work moving without extra check-ins. Automation handles the repetitive work so teams can focus on strategy.
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Operations teams rely on Consensus to orchestrate tasks across departments. Integrations with Plugin/Integration keep work connected.
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