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Scite.ai

4.0/ 5

by Scite

Editorial review
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AI research platform with Smart Citations that show how papers are cited (supporting, contrasting, mentioning) across 1.2B+ citation statements. Personal $20/mo; Organization custom.

Scite.ai is the AI research platform built around Smart Citations — the company's defining capability that classifies how research papers are cited (supporting, contrasting, or mentioning) across 1.2 billion+ citation statements indexed from scientific literature. Founded in 2018 in Brooklyn, Scite.ai has grown into a leading specialized brand in the AI citation analysis category, with adoption among researchers, universities, pharmaceutical companies, and research-intensive organizations needing to understand the credibility and reception of scientific findings. Pricing is tiered with transparent personal pricing: Personal at $20/month (monthly) covers individual researchers with full Scite Assistant, Full-Text Search, Custom Dashboards, Paper Citation Reports, Citation Alerts, and MCP Access. Annual billing saves 40% (effective $12/month). Organization tier is custom-priced for companies and universities with everything in Personal Plan plus flexible access via domain/IP/email, API and MCP access, tiered volume pricing, user analytics, additional datasets (Patents, Clinical Trials), advanced AI models, shared dashboards, and enhanced data exports. Free 7-day trial available for Personal plan. Scite.ai's differentiation versus traditional academic search engines (Google Scholar, PubMed), citation databases (Web of Science, Scopus), and AI research tools (Elicit, SciSpace, Consensus) is the Smart Citations methodology combined with citation context analysis: rather than just showing how many times a paper is cited (citation count) or whether it's cited (binary), Scite.ai classifies the type of citation — supporting evidence, contrasting evidence, or mentioning — providing materially better signal on whether a paper's findings are validated, contested, or simply referenced by subsequent literature. Scite.ai capabilities include Smart Citations classification (1.2B+ citation statements), Scite Assistant for research questions, full-text search across scientific literature, custom dashboards for paper tracking, citation alerts for new citations, MCP (Model Context Protocol) access for AI agents, API access (Organization tier), and additional datasets including Patents and Clinical Trials. The platform serves academic researchers, pharmaceutical companies, universities, and research-intensive organizations globally. Scite.ai operates under SOC 2 Type II, GDPR, and standard academic compliance.

Pricing

subscription · $20

Segment

b2c

Setup

easy

Verified

May 2, 2026

Capabilities

citation-analysisfact-checkingpeer-reviewcredibility

Pros & Limitations

Editorial assessment

Pros

  • Smart Citations methodology is genuinely differentiated — classifying citations as supporting/contrasting/mentioning provides materially better signal on research validity than citation counts alone, addressing a category gap that Google Scholar and PubMed cannot fill
  • 1.2B+ citation statements provides comprehensive coverage — extensive citation database is materially better than smaller AI research tools that index narrower literature, valuable for researchers needing comprehensive citation analysis
  • MCP access positions Scite for AI agent workflows — Model Context Protocol integration lets AI research agents access Scite's citation analysis programmatically, materially better positioning for the agentic research future than tools without API/MCP access

Limitations

  • Specialized for citation analysis limits general-purpose research use cases — Scite.ai is purpose-built for citation context and lacks the broader literature synthesis, paper discovery, and general AI research capabilities that Elicit, SciSpace, or Gemini Deep Research provide
  • $20/month Personal pricing materially higher than free academic alternatives — Google Scholar provides basic citation tracking free, which means Scite.ai's Smart Citations value must outweigh the cost differential for budget-conscious individual researchers
  • Citation classification accuracy depends on AI model quality — like all AI research tools, Smart Citations classification has occasional errors that researchers should validate manually, particularly for high-stakes research decisions

Technical Details

Deployment
webbrowser-extension
Model architectureProprietary
Avg setup time< 15 minutes (sign up free 7-day trial, run first Smart Citations search, configure dashboards and alerts)
Autonomous rateConfigurable: Scite Assistant AI handles autonomous citation analysis and research question answering; researchers review and validate citation classifications and findings
Integrations
ZoteroGoogle ScholarPubMed
Security
SOC 2 Type IIGDPR

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Rating

4.0/ 5

Editorial score

Industries

PharmaHealthcareLegal

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