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的网站在 llms.txt 文件上搞错了

We audited 142 websites between May and July 2026. 56% had no llms.txt at all, and 48 of the 63 that published one failed validity. Here are the 3 mistakes that account for nearly every failure.

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Core Web Vitals 在 2026：按正确顺序修复 INP、LCP 和 CLS

Core Web Vitals work fails when teams optimize a headline score instead of the slow template, interaction, or layout behavior behind it. This framework uses field evidence, affected users, and dependency order.

JavaScript SEO 审计：验证搜索引擎能抓取、渲染和索引的内容

A page can work perfectly in a browser and still expose an incomplete document to search engines. This audit separates crawling, rendering, and indexing so teams can identify the exact failure instead of guessing.

Google 的 2026 生成式 AI 搜索指南：将指导转化为审核计划

Google’s July 2026 guidance makes the priority clear: earn inclusion through sound SEO, distinctive content, and pages that remain understandable after rendering. This audit plan turns that guidance into ordered work.

为什么 50% 的网站在 AI SEO 上得分低于 70

来自285个独立网站和250多次已完成审计的证据。结构化数据是AI SEO可见性的最大阻碍。以下是数据、原因以及优先修复事项。

如何一次免费的 AI SEO 审计让 $10M 房地产交易从 Google 获得

A March audit scored my friend's real estate site 68/100. Two weeks of fixes and a publish later, a tablet search sent a $10M lead. Here is what the engine catches and why most audits miss it.

用 Apify 自动化 SEO 审计：AI 驱动的大规模站点分析

Learn how to run automated SEO audits using Apify actors. Combine web scraping with AI analysis to monitor rankings, detect technical issues, and scale site reviews without manual effort.