陈曦 · 增长与 AIChen Xi - Growth & AI
6.2

门店 GEOStore GEO

介绍Introduction

把单店做进 AI 的本地推荐结果，落到「哪家店」这一层。Getting an individual store into the AI's local recommendations, down to the which-store level.

品牌 GEO 解决的是「这个牌子行不行」，门店 GEO 解决的是「去哪家」。对连锁来说后者才是真的进店量。Brand GEO answers whether the brand is any good; store GEO answers which location to visit. For a chain, the latter is what turns into walk-ins.

做法是把门店级的信息和本地信源一起铺进去，然后逐个模型核查有没有被认出来。The approach is to place store-level information alongside local sources, then check model by model whether it is being recognised.

本地问题的信源和品牌问题完全不同。AI 回答「哪家店」时更依赖地图、点评、本地生活平台和用户的真实讨论，官网的权重反而低。The sources behind a local question are not the ones behind a brand question. When an AI answers which store, it leans on maps, review sites, local-life platforms and real user discussion; the official site counts for less.

连锁还有一个额外的坑：几十家门店在 AI 眼里经常被合并成一个模糊的「某某品牌」，说不出具体哪家。要拆开，就得让每家店有自己能被认出来的信息。Chains have an extra trap: to an AI, dozens of stores often collapse into one vague brand name with no particular location attached. Pulling them apart means giving each store information it can be recognised by.

所以门店 GEO 是逐店做的，一家店一份清单。做完能直接看出哪家被认出来了、哪家还是空白。So store GEO is done store by store, one list per location. When it is finished you can see at a glance which stores are recognised and which are still blank.

  • 逐店信息档案（统一口径）A per-store information file, written to one consistent wording
  • 门店信息与本地信源铺设Store info and local source placement
  • 地图与点评平台一致性核对Consistency checks across map and review platforms
  • 多模型本地问答核查Local-question checks across multiple models
  • 单店覆盖清单（逐店可见或缺席）A per-store coverage list: visible or absent, store by store
  • 错误信息纠正与复查记录Corrections to wrong information, with a re-check record

怎么做How it runs

  1. 逐店建档Build a file per store

    把每家店的名称、地址、营业时间、主打项目、周边地标整理成统一口径的门店档案。口径不统一，AI 就会把几家店混成一家。Collect each store's name, address, opening hours, lead services and nearby landmarks into a file written to one consistent wording. Inconsistent wording is exactly what makes an AI merge several stores into one.

  2. 铺本地信源Place the local sources

    地图标注、点评平台、本地生活内容、周边关键词的真实讨论，按门店逐个铺。本地问题上这些信源的权重远高于官网。Map listings, review platforms, local-life content and genuine discussion around neighbourhood keywords, placed store by store. On local questions these outweigh the official site by a wide margin.

  3. 本地问答核查Check the local questions

    用「某某区哪家 XX 靠谱」「XX 附近的 YY」这类真实句式逐个模型问，记录每家店有没有被点名、信息准不准。Ask in the phrasing people actually use, then record model by model whether each store gets named and whether the details are right.

  4. 补空白与纠错Fill the gaps, fix the errors

    没被认出来的补信源；被说错的（地址、营业时间、项目）优先纠——错误信息比没有信息伤害更大。Add sources where a store is absent, and fix wrong details first, whether address, hours or services. Wrong information does more damage than none at all.

致 Boss 的一封信A letter to you

尊敬的 Boss，您好。Hello, Boss.

这是我的个人产品页，其中的板块都是我自身的技能以及资源。This is my personal product page. Every board on it is a skill or a resource that is genuinely mine.

我从大学毕业后就开始创业，截至现在已经 10 年时间了。I started my own business straight out of university — that was ten years ago.

最开始是产品经理，带领开发团队做出第一款软件（安卓系统）。三个月时间，我从销售到铺垫代理、到技术维护，几乎变成了六边形的 — 三个月总盈利 150W+。I began as a product manager, leading a dev team to ship my first piece of software (Android). In three months I went from sales to building out the reseller network to technical maintenance — close to an all-rounder. Three months, 1.5M+ RMB in total profit.

后面因为要转行业，所以在众多行业中选择了小红书，没想到这一选择就是 4.5 年的时光。Then I needed to change industries. Out of all of them I picked Xiaohongshu — and that one choice turned into four and a half years.

因为当时比较年轻，赚取的第一桶金，所以难免会年少轻狂（现实中同年操盘一个项目，半年纯利润达到 5000W，被合伙人背刺，有真实记录经验以及可考察）。I was young, it was my first real money, and I was inevitably a little reckless. That same year I ran a project that cleared 50M RMB in net profit in six months, and was stabbed in the back by my partner. There are real records, and it can be checked.

后面沉淀了两三年，回到北京，开始研究抖音流量板块以及 AI 相关。I spent the next two or three years settling, then came back to Beijing and started working on Douyin traffic and on AI.

很幸运，在我上年以及今年一直深耕 AI 赛道，所以取得了很不错的成就。I have been lucky: last year and this year I stayed deep in the AI track, and it paid off.

而且我很开心，也很庆幸 — 我在 AI 身上看到了无限。所以我在三个月时间，消耗了 3W 刀的 Token。从文本，到图片，到视频，我看到了太多。AI 是未来。并且我以前的资源圈子，可能让我达不到太高的门槛。And I am glad — genuinely glad — that what I saw in AI was something without limits. In three months I burned USD 30,000 of tokens. Text, then images, then video: I have seen too much to think otherwise. AI is the future. My old circle of resources, though, may not carry me past a high enough threshold.

我帮别人做公司梳理以及流量打造是 2K 一小时的咨询费；全域流量搭建以及小红书的自营矩阵、员工培训是 19800 的搭建费。I charge 2,000 RMB an hour to restructure a company and build its traffic; full-channel traffic build-out, an owned Xiaohongshu matrix and staff training run a 19,800 RMB setup fee.

我说这些的目的，是因为我觉得衡量人的价值不是情感，而是很现实的钱。I say this because I believe a person is not measured in sentiment. They are measured in money, plainly.

我很希望可以继续进新的圈层以及获取新的资源。I want to keep moving into new circles and reaching new resources.

所以很感谢您能看到这里。我所擅长的就是流量打造、品牌打造，以及 AI 的产品和商业逻辑。So — thank you for reading this far. What I am good at is building traffic, building brands, and the product and business logic of AI.

希望我们可以达成合作，一起拥抱 AI 和流量，一起拥抱I hope we can work together. Let us embrace AI and traffic, and embrace

未来The Future