{
  "endpoint": "timeline",
  "generatedAt": "2026-09-19T13:22:03.416Z",
  "source": "geoloopos/data (core-*.jsonl) · data",
  "count": 11,
  "items": [
    {
      "date": "2026-09-19",
      "kind": "case",
      "kindLabel": "案例登记",
      "title": "geoloopos.com",
      "detail": "AI 时代数字资产实验平台。核心机制是 Loop：真实做事 → 沉淀为数字资产 → 观察并重测 AI 认知 → 再做事。",
      "href": "/cases"
    },
    {
      "date": "2026-08-18",
      "kind": "experiment",
      "kindLabel": "实验结束",
      "title": "Experiment #001 · 中文 AI 搜索环境下的实体认知基线",
      "detail": "5 个被测对象（个人品牌 / 企业品牌 / 网站 / 行业术语 / 决策场景）× 2 个模型。张无假（问句为问句原文未公开）：DeepSeek 0，豆包 70，总分 35，判定「AI 尚未认知」。对照：海底捞 70 / 70，总分 70。",
      "href": "/lab/experiment-001"
    },
    {
      "date": "2026-08-18",
      "kind": "run",
      "kindLabel": "一次实测",
      "title": "DeepSeek · 0 分",
      "detail": "实测结论：DeepSeek 双问直接拒答，属于「测到了，AI 完全未认知」——与「未测到」是两回事，0 分是真实测量结果。",
      "href": "/lab/experiment-001"
    },
    {
      "date": "2026-08-18",
      "kind": "run",
      "kindLabel": "一次实测",
      "title": "豆包 · 70 分",
      "detail": "实测结论：豆包提到了名字并给出部分描述得分，但绑定不到「GEO 与 AI 搜索可见度独立顾问」这个实体。",
      "href": "/lab/experiment-001"
    },
    {
      "date": "2026-08-18",
      "kind": "content",
      "kindLabel": "内容发布",
      "title": "《GEOloop：AI可见度闭环方法论》",
      "detail": "自有数据层",
      "href": "/journal"
    },
    {
      "date": "2026-08-18",
      "kind": "opinion",
      "kindLabel": "观点成形",
      "title": "被 AI 知道，不等于被 AI 引用 —— Recognition 与 Attribution 是两个不同层级。",
      "detail": "Experiment #001：海底捞在两个模型均得 70 分，但 source = false",
      "href": "/ideas"
    },
    {
      "date": "2026-08-18",
      "kind": "opinion",
      "kindLabel": "观点成形",
      "title": "模型理解一个需求，不等于模型推荐一个实体 —— 认知与推荐是两个解耦的层级。",
      "detail": "Experiment #001：两个模型都能专业描述「GEO 顾问」的职责，但都没有推荐任何具体顾问；（姓名已隐去） 0 曝光",
      "href": "/ideas"
    },
    {
      "date": "2026-08-18",
      "kind": "opinion",
      "kindLabel": "观点成形",
      "title": "GEO 要解决的不只是「让 AI 知道你」，还有「AI 知道的是不是你」。",
      "detail": "Experiment #001：zkoner.com 被豆包绑定为「可能是钓鱼的网站」；（姓名已隐去）被描述为普通中文人名（Entity Misbinding）",
      "href": "/ideas"
    },
    {
      "date": "2026-08-18",
      "kind": "opinion",
      "kindLabel": "观点成形",
      "title": "GEO 优化的第一对象应该是实体，而不是文章数量。",
      "detail": "Experiment #001：拥有官网、博客与公开内容的个人实体，仍未形成稳定 AI 认知",
      "href": "/ideas"
    },
    {
      "date": "2026-08-16",
      "kind": "project",
      "kindLabel": "项目启动",
      "title": "张无假 Loop",
      "detail": "把张无假真实做事的过程持续记录为可被机器读取的数字资产，并观察 AI 对张无假的认知如何变化。",
      "href": "/projects/zhangwujia-loop"
    },
    {
      "date": "2026-08-16",
      "kind": "experiment",
      "kindLabel": "实验开始",
      "title": "Experiment #001 · 中文 AI 搜索环境下的实体认知基线",
      "detail": "个人实体拥有官网与公开内容，不等于 AI 已形成稳定认知；长期、跨平台、公开、可被机器获取的信息资产，可能是个人实体形成稳定 AI 认知的重要因素之一。",
      "href": "/lab/experiment-001"
    }
  ]
}