Use Grok Bot to Study Small-but-Viral X Accounts: A 6-Step Prompt Workflow for Building a Content Idea Bank

Enter your topic area → Grok Bot finds accounts, spots outlier posts, mines comments, deconstructs writing, reviews your data, and saves as a recurring task → outputs a reusable idea bank and writing frameworks

Who

X content creators, personal-brand builders, or B2B marketers who want a systematic way to find content ideas instead of endlessly scrolling

You get

A regularly updated idea bank with high-engagement accounts, outlier posts, real questions from comments, and reusable writing frameworks

You need

Grok Bot

Steps

1. Find accounts

   Paste the prompt into a Grok Bot conversation to search for active accounts in your target niche. Review the results manually and pick 5 that best match your positioning.

   Execution prompt · Source text。Grok Bot chat input

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   搜索 X 上讨论 AI 自动化、SaaS 和 B2B 获客的活跃账号，筛选 10 个近期出现过高互动帖子的账号，优先关注粉丝量在 1,000–20,000 之间的账号。返回账号链接、粉丝数和代表帖子链接，无法核实的数据标记为未知。

2. Spot outlier posts

   Ask Grok Bot to search the last 30 days of public posts from the 5 selected accounts and surface content with engagement clearly above the account's baseline. The author recommends manually checking whether a sudden spike was caused by a large-account repost or trending-topic hijacking.

   Execution prompt · Source text。Grok Bot chat input

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   搜索选定的 5 个账号最近 30 天的公开帖子，筛选互动明显高于账号日常水平的内容。返回原帖链接、发布时间、点赞数、回复数、转发数及可获取的浏览量，缺失数据标记为未知。

3. Mine comments for topics

   Have Grok Bot read accessible replies under the filtered posts and compile recurring questions, practical difficulties, and unanswered points from the audience.

   Execution prompt · Source text。Grok Bot chat input

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   读取筛选出的帖子下能够访问的回复，整理用户反复提出的问题、实际遇到的困难，以及原作者没有充分解答的疑问。按问题类型分类，标注重复出现的次数，并附上对应评论链接。

4. Deconstruct writing and add your own experience

   First, have Grok Bot batch-analyze high-engagement posts to extract reusable writing frameworks. Then pick a topic you know well and let it interview you for real experiences, outputting 3 draft tweet versions. The author suggests picking the version closest to your natural voice and editing before posting.

   Execution prompt · Source text。Grok Bot chat input

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   分批分析 20 篇有代表性的高互动帖子，每批 5 篇。提取每篇的开头、核心观点、案例和内容结构，总结可复用的写作框架，并附上参考帖子链接。

   Execution prompt · Source text。Grok Bot chat input

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   围绕这个主题采访我，每次只问一个问题，重点追问真实经历、具体做法、遇到的问题和实际结果。采访结束后整理成 3 个不同风格的推文版本，不要添加我没有提供的事实。

5. Review your own data

   Feed your post-performance spreadsheet to Grok Bot and ask it to compare metrics by topic and content structure to identify relatively better-performing types. The author cautions against drawing conclusions when the sample is small.

   Execution prompt · Source text。Grok Bot chat input

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   分析表格中的推文表现，按主题和内容结构比较曝光量、互动率、收藏率及关注转化情况。找出表现相对较好的内容类型，并说明判断依据。样本不足时不要直接得出结论。

6. Save as a recurring task

   After the first run is verified, have Grok Bot save the workflow as a Skill and create a weekly Routine. The author reminds you to manually inspect the first automated run.

   Execution prompt · Source text。Grok Bot chat input

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   将已经验证可执行的账号研究、帖子筛选和评论分析流程保存为 Skill，并创建每周执行的 Routine。每周检查指定的 5 个账号，整理最近 7 天的高互动帖子、评论区高频问题和候选选题。每条结果附原始链接，缺失数据标记为未知，执行失败时报告原因。

No prompt needed — just follow the steps.