This project uses Coze to build an automated market monitoring workflow that integrates official content, public comments, and community discussions, then uses multi-stage LLM prompts to generate structured competitor insight reports. The project was first tested with publicly available gaming industry data, but the method can be transferred to pharmaceutical, healthcare, consumer health, and digital product marketing contexts for competitor content tracking, user feedback analysis, content optimisation, and communication risk identification.
The core value of this project is turning fragmented public content and user feedback into insights that a marketing team can directly use. Traditional competitor monitoring often requires manually checking multiple platforms, reading official content, reviewing comments, and summarising community discussions. This is time-consuming and can easily miss deeper discussion signals. This workflow connects content monitoring, comment sampling, community search, topic extraction, and report generation into a repeatable process, helping teams identify competitor communication priorities, real user concerns, and potential communication risks more efficiently.
From a digital marketing perspective, the workflow supports content planning, social media operations, community management, and market insight work. YouTube comments capture immediate reactions to official content, while Reddit discussions provide deeper feedback around mechanisms, experience, and risks. The final report integrates platform-specific signals into actionable recommendations. The method is not limited to one industry and can be applied to gaming, internet products, pharmaceuticals, and consumer health brands for competitor content monitoring, user education content optimization, social topic design, and marketing risk identification.
Official content monitoring → Comment sampling → Community discussion search → User concern extraction → Platform difference analysis → Integrated insight report output