Rayyan is an AI-assisted systematic review platform that helps research teams import, deduplicate, screen, extract data from, and report on literature across the full evidence synthesis workflow.
网站月访问量估算
数据为该域名的 Similarweb 流量估算，不是活跃用户数。仅展示有数据的统计月份；采集时间与流量统计月份分别标注。
采集于 2026年11月11日
这是编辑给出的评估，满分 5 分，不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳，不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Rayyan（rayyan.ai）是一个收录在 AI Research Tool 下的 AI 平台，月访问量为 111.64万，月度环比流量变化为 +8.19万（+7.9%）。其主要地理市场为美国（18% 流量份额），采用免费增值定价模式。按月流量计算的主要竞争替代方案包括 Perplexity（8831.02万次访问/月），Airtable AI Assistant（2491.79万次访问/月），Kimi AI（1963.23万次访问/月）。
做 Meta 分析和系统评价的神器，救命恩人！
去重和盲审功能太丝滑了。
偶尔服务器会有点卡顿。
团队协作做文献筛选效率直接翻倍。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成，旨在呈现不同使用场景下的常见槽点与亮点，非实名真实用户评价。
The Systematic Auto-Resolver deduplicates up to 200,000 references using your own inclusion and exclusion protocol with one click.
ResearchPilot delivers zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and auto-extraction to speed up search, screening, and data capture.
Work through title, abstract, and full-text screening with inclusion and exclusion tagging, conflict resolution, and blinded reviewer modes.
Capture structured study data with configurable extraction fields, apply PICO frameworks, and export results with auto-generated PRISMA diagrams.
Randomly sample subsets, divide workloads, manage roles, and screen offline via the mobile app, with full audit trails for reproducibility.
Rayyan is an AI-assisted systematic review platform that helps research teams import, deduplicate, screen, extract data from, and report on literature across the full evidence synthesis workflow.
Run end-to-end reviews with deduplication, AI-assisted screening, data extraction, and PRISMA export in one platform.
Handle large reference sets with AI prioritization, risk-of-bias assessment, and audit-ready reporting.
Divide workloads across reviewers with sampling, roles, and conflict resolution on shared libraries.
Assess study quality with consistent Risk of Bias criteria and generate publication-ready outputs.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | Rayyan | 111.64万 | +7.9% | 61% 直接流量 | 免费增值 | 当前产品 |
| 1 | Perplexity | 8831.02万 | -3.7% | 72% 直接流量 | 免费增值 | 对比 Perplexity |
| 2 | Airtable AI Assistant | 2491.79万 | -3.5% | 76% 直接流量 | 免费增值，免费试用，付费，定价请咨询 | 对比 Airtable AI Assistant |
| 3 | Kimi AI | 1963.23万 | -23.4% | 71% 直接流量 | 免费 | 对比 Kimi AI |
| 4 | Prolific | 1869.77万 | -1.8% | 69% 直接流量 | 付费 | 对比 Prolific |
| 5 | Thomson Reuters | 1791.94万 | +5.5% | 42% 直接流量 | 定价请咨询 | 对比 Thomson Reuters |
| 6 | Semantic Scholar | 819.87万 | +5.8% | 23% 直接流量 | 免费 | 对比 Semantic Scholar |
Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.
Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
精准研究受众搭配 AI 校验的数据质量
WolframAlpha is a computational knowledge engine that answers factual, mathematical, and scientific queries by computing results from curated data and algorithms rather than just searching for them.
WolframAlpha is a computational knowledge engine that answers factual, mathematical, and scientific queries by computing results from curated data and algorithms rather than just searching for them.
