Consensus 记录了 6,014,388 月访问量,月度环比增长为 -1.2%,定价为免费增值。PubCompare.ai 记录了 0 月访问量,增长率为 0%,定价为免费增值。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | consensus.app | pubcompare.ai |
| 定价模式 | 免费增值 | 免费增值 |
| 月访问量 | 601.44万 (6,014,388) | 0 (0) |
| 月度环比流量变化 | -7.14万 (-1.2%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (12.8%) | 🌐 全球 (—) |
| 直接访问 / 月 | 291.87万 | 0 |
| 用户评分 | 4.7 | 4.4 |
| 支持的平台 | 网站 | 网站 |

面向同行评审文献的 AI 学术搜索引擎
用自然语言提出研究问题,即可获得由同行评审研究综合而成的答案,每条结论都链接到来源论文。
以可视化方式展示科学文献在某个是/否问题上的倾向,标明一致、分歧或证据混杂。
按研究设计、样本量、期刊质量、发表年份等条件过滤结果,优先呈现高质量证据。
将大量研究的结果汇总为结构化摘要,勾勒已知结论与尚存空白。

为实验方案打造的 AI 搜索与比较
用自然语言搜索实验方法,获得实验方案层级的结果而不只是论文标题,让你看到某项技术实际上如何执行。
将不同论文或实验室的实验方案并排放置,找出彼此一致与分歧之处,这对重现方法至关重要。
从文档和实验方案中提取结构化细节,让步骤、试剂和条件更易浏览和复用。
浏览并贡献不断增长的实验方案知识库,帮助你的实验室和他人更快找到经过验证的方法。

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.
Metaso AI (秘塔AI搜索) is a Chinese AI search engine that returns synthesized, source-backed answers instead of an ad-filled list of links. It searches the open web, document libraries, and academic literature, then organizes results into structured reports with citations you can trace.
Metaso AI (秘塔AI搜索) is a Chinese AI search engine that returns synthesized, source-backed answers instead of an ad-filled list of links. It searches the open web, document libraries, and academic literature, then organizes results into structured reports with citations you can trace.
专项更强由用户付费、没有广告的搜索引擎
专项更强Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
专项更强Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
专项更强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.
专项更强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.
基于 3 亿 + 篇学术全文的 AI 答案

专项更强Excellent for visual citation mapping and literature discovery, but lacks automated paper Q&A and evidence synthesis.
专项更强Excellent for visual citation mapping and literature discovery, but lacks automated paper Q&A and evidence synthesis.
用可视化论文图谱探索学术文献
Patsnap Eureka is a suite of domain-specific AI agents for research and development and intellectual property work. It combines Patsnap's patent, scientific literature, and market data with reasoning agents that help teams generate ideas, draft and evaluate patent claims, explore materials and life-science questions, and produce structured research reports.
Patsnap Eureka is a suite of domain-specific AI agents for research and development and intellectual property work. It combines Patsnap's patent, scientific literature, and market data with reasoning agents that help teams generate ideas, draft and evaluate patent claims, explore materials and life-science questions, and produce structured research reports.