AI 推荐 ≠ Google 排名；而且各个 AI 之间也常常彼此矛盾。不实测，你永远不知道品牌在哪个 AI 里悄悄流失了订单。AI recommendations aren't Google rankings — and the AIs often disagree with each other. Without testing, you never know which AI is quietly losing you deals.
一个工厂可能 Google 前 10 名都进不去，却被某个 AI 当成「行业第一」反复推荐；反过来，它在另一个 AI 里可能彻底缺席。原因很简单：每个 AI 取信源的偏好不同——有的偏好你的官网，有的只从目录站、榜单、社区里捞名字。所以「AI 可见度」从来不是一个数字，而是一张逐平台的分诊单。A factory can be absent from Google's top 10 yet be named #1 by one AI — and be missing entirely from another. Each AI sources differently: some favour your site, others only pull from directories, lists and communities. AI visibility is never one number; it's a per-platform diagnosis.
同样几道「找这类工厂」的真实采购问法，在两个主流 AI 上跑出来的结果，截然相反。The same sourcing queries, run on two major AIs — opposite results.
每一道吸油纸 / 吸油膜问法都被列为第 1，大量引用其官网、零幻觉。Gemini 甚至直接称它是「中国最主要的微孔吸油膜制造商」。
出现率 ≈ 100% · 位次 #1Named #1 on every oil-paper / oil-film query, with heavy citation of its own site and zero hallucination.
~100% mention · #1
同样的问法，一次都没被提到。Perplexity 把订单推给了别的工厂——因为它只从目录站、榜单、社区捞名字，而这家厂没在那些地方占位。
出现率 0% · 未上榜Not mentioned once. Perplexity recommended rivals — it pulls from directories, lists and communities, where this factory wasn't present.
0% mention · not listed
💡 诊断结论：这家工厂的官网内容已经是冠军（Gemini 证明了），问题根本不在内容，而在「Perplexity 取源偏好」。所以不必再花钱写官网——把预算精准投到 Perplexity 偏好的源即可。这就是「平台分诊」帮你省下的冤枉钱。💡 Diagnosis: the site content is already winning (Gemini proves it). The gap isn't content — it's how Perplexity sources. So don't spend on more content; invest precisely where Perplexity looks. That's the money platform-split diagnosis saves.
把「找你这类工厂」的真实采购问题，按市场 × 买家 × 场景裂变成几十道 AI 问法。Split real sourcing questions into dozens of queries by market × buyer × scenario.
每道问法在 ChatGPT / Gemini / Perplexity / Claude 等主流 AI 上真实跑一遍。Run each query across ChatGPT / Gemini / Perplexity / Claude and more.
出现率 / 引用率 / 域名准确率（防幻觉） / 答案位置 / 声量份额。Mention rate / citation / domain accuracy / position / share of voice.
拆开每个 AI 单独看，找出「哪个平台赢、哪个平台盲」，把钱花在刀刃上。Read each AI on its own — find which platform wins and which is blind, and spend where it counts.
说明：样例为某中国油控 OEM 工厂的真实实测，已对工厂身份、具体问法与信源做脱敏处理。AI 引用池高速轮换，需持续运营维持位次。Note: a real but anonymized oil-control OEM example; identity, exact queries and sources redacted. AI pools rotate — ongoing work maintains the position.
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