
Consensus
AI research agents
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$10 per month
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What is Consensus
Consensus is an AI-powered research assistant focused on finding and summarizing evidence from peer-reviewed scientific literature. It is used by researchers, clinicians, students, and knowledge workers to ask questions and retrieve paper-backed answers with citations. The product emphasizes surfacing relevant studies and extracting key findings rather than general web search.
Science-first retrieval and summaries
Consensus is oriented around academic literature and attempts to ground responses in peer-reviewed papers. It returns citations and links to source studies to support follow-up reading and verification. This focus can reduce time spent filtering general web content when the user’s question is scientific or evidence-based.
Question-to-evidence workflow
The interface is designed for asking a natural-language question and quickly getting an evidence-oriented synthesis. It supports rapid triage of what the literature says and which papers appear most relevant. This workflow aligns well with early-stage literature review, clinical questions, and research scoping.
Citation-forward output
Outputs typically include references, enabling users to trace claims back to specific papers. This is useful for drafting, internal reviews, and academic work where provenance matters. Compared with more general AI answer engines, the product’s value is strongest when citations to scholarly sources are required.
Coverage limited to indexed literature
Results depend on what sources are indexed and accessible through the product’s underlying content pipelines. It may not cover proprietary databases, paywalled full text, internal documents, or niche repositories comprehensively. Users may still need additional tools for exhaustive systematic reviews or specialized corpora.
Not a full review platform
Consensus supports discovery and summarization but does not replace end-to-end evidence synthesis workflows. Features commonly needed for formal reviews—such as screening management, PRISMA-style tracking, extraction templates, and audit-ready collaboration—may require separate tooling. Teams with regulated or publication-grade processes may find gaps.
AI summarization risk remains
As with other LLM-assisted research tools, summaries can omit nuance, misinterpret study context, or overgeneralize findings. Users must validate conclusions by reading the underlying papers, especially for clinical or high-stakes decisions. Citation presence does not guarantee that the summary accurately reflects the cited text.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 | 3 Deep Searches per month; 15 Pro Analyses per month; 10 Study Snapshots per month; 10 Ask Paper messages per month; unlimited searches and access to free features (bookmarks, custom lists, quality indicators). |
| Pro | $15 per month (monthly) or $120 per year (billed annually, equivalent to $10/month) | 15 Deep Searches per month; Unlimited Pro Analyses; Unlimited Study Snapshots; Unlimited Ask Paper messages; Unlimited bookmarks and custom lists; Unlimited searches across 220M+ research papers; Unlimited research quality indicators. |
| Deep | $65 per month (monthly) or $540 per year (billed annually, equivalent to $45/month) | 200 Deep Searches per month; includes all Pro features (Unlimited Pro Analyses, Study Snapshots, Ask Paper messages, bookmarks, lists, searches, quality indicators). |
| Teams | Custom pricing (click Get Started under Teams) | Designed for research groups/labs/academic departments; all Pro features plus 50 Deep Searches per month per user; discounts for up to 200 seats; centralized billing and account management; coming soon: Consensus Search API. |
| Enterprise | Custom pricing (email [email protected] for a quote) | Tailored for large organizations (200+ users); greater volume discounts; manage thousands of users; library integrations; product training and search optimization; development partner program for 500+ users. |