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Automate social listening with OpenClaw and Mentionkit
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Automate social listening with OpenClaw and Mentionkit

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Social listening tools are great. They tell you that somebody mentioned your brand, your competitor, or a keyword you care about. Unfortunately, after that, a human still has to read the thread, decide if it matters, write a reply, and post it. That works when volume is low. It gets messy once you want a repeatable workflow. A better setup is to split the job in two: use Mentionkit to collect and organize mentions use OpenClaw to run the agent workflow That gives you a technical pipeline instead of just another dashboard. Mentionkit gives you structured mention data plus endpoints for listing mentions, generating draft comments, and marking a mention handled. OpenClaw gives you an agent runtime plus browser control over tabs, clicks, typing, and navigation. In this article, I will show a simple version of that setup: pull mentions from Mentionkit filter for real opportunities generate a draft reply automatically let an AI agent refine it post it through the user’s signed-in browser ses

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