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aeo-visibility-tracking

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Original

English
🇨🇳

Translation

Chinese
Use when AI-search visibility needs measuring: which engines mention the brand, for which buyer questions, citing which sources. Produces a visibility baseline, a trend line, and a ranked list of the sources worth influencing. Exact commands live in 
references/commands.md
.
当需要衡量AI搜索可见性时使用：哪些引擎提及了品牌，针对哪些买家问题，引用了哪些来源。可生成可见性基线、趋势线，以及值得针对性运营的引用来源排名列表。具体命令位于
references/commands.md
。

Set the baseline

设定基线

  1. define the brand (and competitor brands — ranking against them is the readout that lands) and its topics
  2. seed prompts with the questions buyers actually ask an AI engine — "best X for Y," "X vs Z," "how do I solve W" — in the buyer's words, not the category's marketing language. Batch-create per topic, spread across target engines and countries
  3. read the visibility timeline and brand ranking for the baseline: who gets mentioned, for what, where
  1. 定义品牌（以及竞争对手品牌——与它们的排名对比是最具说服力的结果）及其相关话题
  2. 用买家实际会向AI引擎提出的问题预置种子prompt——比如“最适合Y的X”、“X对比Z”、“我该如何解决W”——要用买家的话术，而非品类的营销语言。按话题批量创建，覆盖目标引擎和国家
  3. 查看基线对应的可见性时间线和品牌排名：哪些品牌被提及、针对哪些问题、分布在哪些引擎和国家

Read the results

解读结果

  • visibility explain shows why a score moved — which prompts and engines drove it
  • citations and sources are the actionable half: which domains, URLs, and domain types the engines actually cite for these prompts. This is the target list — if engines cite three Reddit threads and two comparison posts for the category, that's where content effort goes
  • sentiment explain shows how the brand is characterized when it does appear — visible-but-mispositioned needs different work than invisible
Report per topic: visibility vs competitors, trend, top cited sources, and one concrete content action per gap.
  • visibility explain 展示得分变动的原因——由哪些prompt和引擎驱动
  • citations and sources 是可落地的核心部分：引擎针对这些prompt实际引用了哪些域名、URL和域名类型。这就是目标清单——如果引擎在该品类中引用了三个Reddit帖子和两篇对比文章，那么内容运营就应该投入到这些方向
  • sentiment explain 展示品牌被提及时的公众认知定位——“有曝光但定位偏差”和“完全无曝光”所需的改进工作截然不同
按话题维度输出报告：品牌与竞品的可见性对比、趋势、顶级引用来源，以及针对每个缺口的一项具体内容行动建议。

What good looks like

优秀标准

A great AEO readout names the prompts that matter commercially, ranks the brand against named competitors per engine, and ends with a short cited-source hit-list — "these 5 URLs drive the category answers; here's where the brand can plausibly earn a mention." Mediocre tracking reports one aggregate score with no explain and no source mining. What gets overlooked: country and engine splits (visibility in one engine says nothing about another) and prompt drift — refresh seeded prompts as the buyer language evolves.
MUST seed prompts in buyer language, not brand language. NEVER report a score without its explain and its cited sources — an unexplained number invites wrong conclusions.
一份出色的AEO分析报告需要明确具有商业价值的prompt，按引擎维度将品牌与指定竞品进行排名，并最终给出一份简短的引用来源目标清单——“这5个URL主导了该品类的回答；以下是品牌有机会获得提及的位置”。平庸的追踪报告只会给出一个总得分，既无解释也无来源挖掘。容易被忽略的要点：国家和引擎的拆分数据（单个引擎的可见性完全无法代表其他引擎）以及prompt漂移——需要随着买家话术的演变更新种子prompt。
必须使用买家的话术预置种子prompt，而非品牌自有的营销话术。绝对不要在没有解释和引用来源支撑的情况下单独报告得分——一个缺乏解释的数字会引导出错误结论。