据 AlphaMoat 统计,2026-06 Llmrefs(llmrefs.com)月访问量为 116,380,环比 +19.7%,在全部 18,897 个有流量数据的 AI 网站中排名第 3,232 位,在「智能营销」分类(1,384 个)中排名第 210 位;最大访问来源为英国(占 16.1%)。
LLMrefs is represented by llmrefs.com. Track brand visibility, rank, citations. Benchmark competitors & optimize for keywords across ChatGPT, AI Overviews, Perplexity, Claude, Gemini + more generative answer engines
| 月份 | 月访问量 | 环比 |
|---|---|---|
| 2025-07 | 24,540 | — |
| 2025-08 | 42,334 | +72.5% |
| 2025-09 | 41,327 | -2.4% |
| 2025-10 | 39,685 | -4.0% |
| 2025-11 | 45,954 | +15.8% |
| 2025-12 | 65,220 | +41.9% |
| 2026-01 | 76,771 | +17.7% |
| 2026-02 | 76,934 | +0.2% |
| 2026-03 | 101,176 | +31.5% |
| 2026-04 | 97,592 | -3.5% |
| 2026-05 | 97,226 | -0.4% |
| 2026-06 | 116,380 | +19.7% |
| 国家/地区 | 月访问量 | 占比 |
|---|---|---|
| 英国 | 18,683 | 16.1% |
| 美国 | 8,725 | 7.5% |
| 印度 | 6,703 | 5.8% |
| 尼日利亚 | 5,580 | 4.8% |
| 葡萄牙 | 4,206 | 3.6% |
FancyAI is represented by fancyai.com. FancyAI empowers marketers and retailers with AI creative agents, professional skill libraries, and elite models like Seedance and Kling. Access 10,000+ real-world business cases and generate stunning visuals instantly.
用于更好的业务管理的智能工具
Feedly是一款内容聚合器，让用户能够订阅并阅读他们感兴趣的新闻源和博客文章。
AI for Doctors 对应 doximity.com。Doximity is the leading platform for U.S. healthcare professionals, trusted by over three million members, including more than 85% of U.S. physicians, to support everyday clinical work.
Ahrefs是一套功能强大但易于学习的SEO工具，可帮助您提高排名并获得更多流量。
Bitdefender 对应 bitdefender.com。Bitdefender is a cybersecurity software leader delivering best-in-class threat prevention, detection, and response solutions worldwide.
Google Arts & Culture 对应 artsandculture.google.com。Google Arts & Culture features content from over 2000 leading museums and archives who have partnered with the Google Cultural Institute to bring the world's treasures online.
具有动态内容的电子邮件营销具有双向对话的SMS营销移动推送通知收集和显示客户撰写的评论客户数据平台，用于集成和激活数据基于人工智能的营销具有预测分析和基准测试的实时细分，用于个性化定位全面的客户数据准确的转化跟踪归因人工智能驱动的内容生成与300多个应用程序和平台的实时数据激活集成
数据月份:2026-06 · 访问量为第三方流量估算,按月聚合更新,适合看量级与趋势。口径说明见数据方法。
