这是基线案例，不是“优化后成功案例”。测试覆盖 8 类买家问题 × 3 个平台 × 每题 5 轮；现有证据只支持 0% 基线和执行路线，优化后同口径复测尚未完成。This is a baseline case, not a post-optimization success claim. Eight buyer-query groups × three platforms × five runs each; evidence supports the 0% baseline and execution route, while like-for-like post-build re-testing is pending.
在 ChatGPT、Perplexity 与 Gemini 的 120 条归档答案中，妍创出现率为 0%。这只能证明企业在该测试范围内未被提到，不能推断产品能力不合格，也不能用来概括所有 AI 平台或当前实时状态。Across 120 archived answers on ChatGPT, Perplexity and Gemini, Yanchuang's mention rate was 0%. This only proves absence in the tested scope; it does not judge product capability or describe every platform or the current live state.
下列是基于基线的执行计划，不是已经发生的结果。The following is a baseline-informed plan, not a completed result.
用真实买家问法定位「香水玻璃瓶」这一战场，并解剖出 AI 在该问法下到底吃哪些信源。
🔒 具体问法清单与信源权重为专有方法proprietaryPin the perfume-bottle battlefield and map which sources AI actually cites.
在英文站围绕该品类系统化建设可被 AI 抽取的知识内容 + 结构化数据 + llms.txt。
🔒 内容结构与模板为专有方法proprietaryBuild AI-extractable knowledge content + schema + llms.txt for the category.
在 AI 最常引用的几类信源上完成占位与优化，让"答案的来源"里出现妍创。
🔒 具体信源与进榜路径为专有方法proprietaryPlace Yanchuang into the source types AI cites most.
补充可验证案例、目录与行业信源；按相同平台、问法和轮次复测，比较五类审计输出。Add verifiable cases, directories and industry sources; re-test the same platforms, queries and runs across five outputs.
真实问法多轮实测，确认起点出现率 0%、信源与竞品格局。Confirm 0% baseline, map sources & rivals.
出现率 0%rate 0%在香水玻璃瓶相关问法中，选定一个可赢的细分问法集中突破。Pick one winnable perfume-bottle query to focus on.
验收索引、直答内容、结构化数据与页面事实一致性。Validate indexing, direct answers, structured data and page-fact consistency.
核对公司名、官网、品类能力、目录与第三方证据。Validate company name, domain, capability claims, directories and third-party evidence.
复用基线平台、问法与轮次；复测完成前不填写提升比例。Reuse baseline platforms, queries and runs; no uplift is claimed before completion.
状态：待复测Status: pending说明：一次问法 × 一个平台 × 一轮计 1 条；数据为归档项目基线。AI 答案会变化，不承诺固定排名或推荐。One query × one platform × one run = one record. This is an archived project baseline; answers change and no fixed rank or recommendation is promised.
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