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  • 购买旅程是对话,而非提示词。

    via https://www.searchpilot.com/resources/blog/conversations 购买旅程更适合建模为对话,而不是提示词;每一步的随机性意味着提示词追踪会漏掉大量图景。 这可能听起来显而易见,但你不能把购买旅程建模为向 AI 智能体发出的单个提示词。就像旧式搜索时代一样,真实购买旅程涉及发现、兴趣和研究等多个步骤。与那个时代不同的是,当时每一步可能都会带来一次点击进入你的网站,而现在购买旅程的很大一部分发生在围墙花园内,我们看不到。 这一事实并不会让这些发现平台价值降低。如果说有什么影响,它反而增强了它们的力量,但这确实让营销人员难以将数据与真实业务影响串联起来。 我看到太多 AI 可见性报告本质上只是毫无意义的百分比,与业务影响脱节,与因果无关。无法判断这些数字变化是因为你做的事、平台做的事、消费者使用 AI 的增长、竞争对手做的事,还是季节性。同时,也无法判断将这个可见性数字从…

  • Rank Math AI 整合了 SEO 工具,并新增了 Gemini 可见性追踪功能。

    via https://searchengineland.com/rank-math-ai-unifies-seo-tools-gemini-tracking-490526 此次更新将 Content AI、AI Link Genius 和 AI Visibility 整合在一起,Rank Math…

  • 现在有效的 SEO 并不是更好的写作

    via https://www.productledseo.com/p/the-seo-that-works-now-isnt-better 大多数 SEO 团队仍在用任何 AI 模型现在都能按需生成的内容,争夺同样的关键词,而他们困惑:为什么保持了多年的排名会突然蒸发。 这种困惑来自不理解用户为什么搜索;他们有事情要做,不只是为了读内容。生产内容——即便是研究充分的内容——所需的劳动,在 LLM 能够按需生成同样内容的那一刻,就不再稀缺。资本和人力资源始终才是 SEO 真正的货币,而不是内容本身;一旦任何拥有浏览器和…

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