品牌 GEOBrand GEO
介绍Introduction
把品牌送进豆包、DeepSeek、千问,让 AI 在回答里提到你。Getting the brand into Doubao, DeepSeek and Qwen so the AI mentions you in its answer.
客户找服务的入口正在从搜索框搬到对话框。以前是搜「附近的口腔」,现在是直接问 AI「这个城市哪家口腔靠谱」。The entry point for finding services is moving from the search box to the chat box. People used to search for nearby clinics; now they ask an AI which clinic in the city is worth trusting.
GEO 做的就是这件事:让 AI 的回答里有你的品牌。我们有完整技术能把品牌送进豆包、DeepSeek、千问。That is what GEO addresses: making sure your brand appears in the AI's answer. We have the full technique for placing a brand into Doubao, DeepSeek and Qwen.
和 SEO 不一样的地方在于,AI 不给你排名次,它直接替用户下判断。搜索结果排第五用户还会点进去,AI 回答里没提到你,就等于不存在。The difference from SEO is that an AI does not rank you, it makes the judgement on the user's behalf. A fifth-place search result still gets clicked; an answer that never mentions you is indistinguishable from not existing.
我们不押单一模型。豆包、DeepSeek、千问、Kimi、元宝各有各的信源偏好,同一个问题在五个模型里能给出完全不同的答案,所以铺设和核查都得逐个模型来。We do not bet on a single model. Doubao, DeepSeek, Qwen, Kimi and Yuanbao each favour different sources, and one question can get five different answers, so both the placement and the checking are done model by model.
合规上我们走白帽。2026 年 5 月 Google 已经把操纵 AI 输出写进垃圾内容政策,国内信通院也启动了 GEO 服务可信评测——靠刷出来的覆盖现在是负债,不是资产。On compliance we stay white-hat. Google wrote manipulation of AI output into its spam policy in May 2026, and CAICT has started a trustworthiness assessment for GEO services in China: coverage bought by gaming the system is now a liability, not an asset.
- 现状诊断报告:多模型可见性基线Diagnostic report: a visibility baseline across multiple models
- 品牌问答词库与意图矩阵A brand question bank and intent matrix
- 品牌信源梳理与内容铺设Brand source mapping and content placement
- 结构化内容改造(结论前置、数据带出处)Structural rewrite of the content: conclusion first, data with a source
- 多模型收录与提及情况核查Coverage and mention checks across multiple models
- 问答覆盖清单与迭代记录A question-coverage list and a record of each iteration
怎么做How it runs
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盘现状Take the baseline
先把品牌词、品类词、竞品对比词各问一遍,逐个模型记录 AI 现在怎么回答、有没有提到你、提到的对不对。这份基线决定后面所有动作。Ask the brand terms, the category terms and the competitor-comparison terms once each, and record model by model how the AI answers today: whether you are mentioned at all, and whether what it says is correct. That baseline drives everything after it.
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建问答词库Build the question bank
围绕品牌词、商业词和用户的真实提问建一张问答矩阵。少而精,先锁定最值钱的那几个意图做深,不铺大而全。Build a matrix of questions around brand terms, commercial terms and the way users actually ask. Keep it small and sharp: go deep on the few intents that are worth the most rather than spreading thin.
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铺结构化内容与权威信源Place structured content and authoritative sources
内容按 AI 好抽取的形状写:结论前置、分段带小标题、关键数据带出处。铺设不只在自己站上——站外信源比自家官网更容易被引用。Write in the shape an AI can extract from: conclusion first, sections with headings, key figures carrying their source. And do not place only on your own site; off-site sources get cited more readily than a company's own pages.
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逐模型核查与迭代Re-check per model, then iterate
按固定周期把词库重跑一遍,记录每个模型的提及率变化;还缺席的问题回到上一步补。GEO 不是一次性工程,是持续的监测闭环。Re-run the whole question bank on a fixed cycle and track how the mention rate moves for each model; anything still absent goes back to the previous step. GEO is not a one-off project, it is a monitoring loop.