How One Grok Bot Ran 3 X Accounts to 69.8M Impressions (Prompt, Stack and Postiz Setup)

Daniel Ch describes an AI-assisted social media workflow that reportedly generated 69.8 million X impressions across three accounts by using a Grok Bot to research proven content, develop fresh angles from existing product material, draft posts, and pass approved work to Postiz for scheduling. The system relies on two core approaches: repackaging public material that has already attracted attention with stronger hooks or formats, and identifying emotional or practical tension in original screenshots, launches, observations, and results. A notable example was an eight-word caption paired with an existing cold-email screenshot that received 7.1 million views, while a multi-account product campaign exceeded 5 million combined views and coincided with revenue growth. The workflow combines X Advanced Search, analytics feedback, SendShort for video clipping, and Postiz for drafts and publishing, with performance data reused to inform later ideas. Although the process automates research, editing, variations, and scheduling, Daniel emphasizes human review of claims, visuals, account selection, and final publication, particularly because provocative fear-based framing can perform well despite raising concerns about incentives and echo chambers.

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