SpaceXSI 的企业 GTM 同事怎么用 Grok Bot：先建总管，再按“一个账户一个 Bot”“一个职能一个 Bot”展开。
引作者说这是她在 SpaceXSI 为企业 GTM 用 Grok Bot 的方式。内部试用阶段 Grok Bot 在公司里快速普及，她写了一份内部 Notion 文档，再整理出来给外部的 GTM 团队参考。她的感受：它不只是思考伙伴，而是“我可以信任它端到端地去做事，每周它对我的工作方式学得更多”。
引制定管线生成计划、拉意向数据、做深度研究（会看网络研讨会、听播客、找博客、扫 LinkedIn/X 的相关帖子）；根据公司重点和个人“钩子”定制消息，在 Gmail 里起草，用你的口吻整理消息。她喜欢夜里跑，早上现成。
Weekly media rundown for [account]. Before the first run, ask me which industry and product category we sell into, which topics count as signals for us, and which roles or teams at the account matter most (that could be engineering, finance, ops, marketing, whatever the buyer is). Save the answers and use them on every run.
Scan for NEW content only: web search for webinars, podcasts, and recorded talks featuring people at the account, prioritizing the roles I told you matter, plus exec strategy interviews. Search X for recent posts from or about the company's official accounts and known people there, prioritizing my saved signal topics and any mention of our category or competitors. Keep a state file of everything already covered and compare against it so you only report genuinely new items.
For each new item, actually consume the content. Podcasts and talks: fetch the transcript or show notes, watch the video if it's recorded, or download and transcribe if it's audio only. Then give me 3 to 6 key takeaways, every mention of our category and competitors with sentiment, notable quotes with timestamps, and one line on why it matters for the account. For X posts: author, date, the text, a link, and why it matters. Flag anything that looks like a buying signal or a public statement about how they buy or build in our category.
Send one weekly roundup. If nothing new, send a single line saying so. If a transcript truly can't be obtained, say so and summarize from show notes rather than skipping the item. Update the state file after every run.引官方英文原文，来自 guide 的 “Weekly media rundown” 代码块；方括号 [account] 要换成账户名。
| Bot | 做什么（原文转述） |
|---|---|
| Data analysis agent | 接到相关工具，追踪她名下客户的使用数据 |
| Product expert（她叫它 “10x engineer”） | 接到代码库的 agent，回答超出她产品知识的深层问题；客户在通话中现场问技术问题，她问这个 agent 就能拿到面向客户的答案，不用问工程师或翻 Slack/Notion/文档；没有仓库权限时，可以用 Glean 这类内部知识工具当来源 |
| 1:1 agent | 准备每周的经理同步；她用 Granola 记录会议，能把和经理讨论过的任务交出去并设提醒 |
| Forecasting bot | 从 Granola、Gong、Slack 和邮件里拉信息，自动更新 Salesforce 商机备注；她给出想要的更新格式，帮助简化预测会、保持备注时刻最新 |
| Slides | 用品牌系统和它维护的母版，在 Figma 里管理客户 deck；按客户复制定制，甚至翻译成其他语言；要事先给它设计规范 |
| Sales Coach | 看你在 Gong 上的外部通话，反馈哪里可以改进、哪里做得好 |
引她最喜欢的 skill：客户通话时根据 Granola 转写自动更新幻灯片。在通话结束前 5–10 分钟停掉 Granola 录制，实时跑一遍，通话结束时就带着一张用客户刚说的“探索期”信息做的幻灯片，可作跟进或下次开场。
引她的总结：每周都在迭代使用方式，这是“第一个感觉像可信同事的 AI 工具”，不用不停重写输出或盯着 agent；她的时间主要在通话上，以前要在晚上花几小时补行政，现在把大部分交给了 Bot。（自述）