6.3

个人 IP GEOPersonal IP GEO

介绍Introduction

让 AI 在被问到这个领域时提到这个人。Making the AI name the person when asked about their field.

医生、店长、创始人——凡是靠专业信任成交的角色,被 AI 提到一次的分量比十条广告大。Doctors, store managers, founders: for anyone whose business runs on professional trust, one mention by an AI carries more weight than ten ads.

个人 IP GEO 做的是让 AI 在被问到这个领域时把这个人报出来。Personal IP GEO is about getting the AI to name that person when the field comes up.

个人和品牌的差别在信源类型:AI 认一个人,靠的是署名内容、公开访谈、专业平台上的问答记录,而不是一个官网页面。Person and brand differ in what the sources look like. An AI comes to know a person through attributed writing, public interviews and answers on professional platforms, not through a page on a company site.

所以这件事的前提是这个人真的有东西可说。我们能做的是把已有的专业输出整理成 AI 好引用的形状、铺到对的地方,编不出一个不存在的专家。Which means the work presupposes that the person genuinely has something to say. What we can do is reshape their existing professional output into something an AI will cite and place it where it counts; we cannot invent an expert who is not there.

做成之后是复利的:AI 一旦把某个人当作某领域的可信来源,后面相关的问题会持续提到,别人很难挤掉。Once it works it compounds. When an AI has accepted someone as a trusted source in a field, it keeps returning to them on related questions, and displacing them is hard.

  • 领域定位与问答意图清单A field definition and the list of question intents that go with it
  • 个人信源梳理与内容铺设Personal source mapping and content placement
  • 专业输出结构化改写(署名可引用形态)Structural rewrite of existing professional output into a citable, attributed form
  • 站外信源铺设(专业问答、行业媒体、百科类)Off-site placement: professional Q&A, trade media and reference sites
  • 领域问答覆盖核查Domain question-coverage checks
  • 覆盖清单与迭代记录A coverage list and a record of each iteration

怎么做How it runs

  1. 立领域与边界Set the field and its edges

    先定这个人要在哪个具体领域被提到。「口腔正畸」比「医疗」有效得多——范围越窄,越容易被 AI 认下来。Decide the specific field the person should be named in. Something narrow beats something broad by a wide margin: the tighter the scope, the more readily an AI accepts the association.

  2. 梳理已有专业输出Gather what already exists

    把这个人发表过的内容、讲过的课、接受过的访谈、回答过的专业问题全部盘出来。这是唯一能用的原料。Pull together everything the person has published, taught, been interviewed about or answered professionally. This is the only raw material there is.

  3. 结构化改写并铺到对的地方Rewrite it, then place it where it counts

    按 AI 好抽取的形状重写:一问一答、结论前置、观点带署名。铺到专业问答、行业媒体、百科类信源,而不是只发自己的号。Rewrite into the shape an AI extracts from: question and answer, conclusion first, opinions carrying a name. Then place it on professional Q&A sites, trade media and reference sources, not only on the person's own account.

  4. 领域问答核查Check the domain questions

    用这个领域的真实提问逐个模型跑,看这个人有没有被报出来、被怎么描述。缺的补,偏的纠。Run the field's real questions model by model and see whether the person is named and how they are described. Add what is missing, correct what is off.

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