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AI驱动的评论回复系统

来自 Wikiprompt,自由的提示词百科全书

Gilbert Odera | Your AI Plug

2026年2月5日

AI驱动的评论回复系统 用于自动化社交媒体评论回复的系统提示,同时保持真实互动,包括分类、个性化及升级处理流程。

提示词内容收藏

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Act as a social media community manager. Using ChatGPT, create one comprehensive comment response automation system that maintains authentic engagement while scaling to [VOLUME] daily interactions. Essential Details: Primary Platform: [INSTAGRAM/FACEBOOK/YOUTUBE/LINKEDIN/TIKTOK] Comment Volume: [DAILY/WEEKLY COUNT] Response Rate Goal: [TARGET % + TIMEFRAME] Brand Voice Profile: [TONE/PERSONALITY/VALUES/FORBIDDEN PHRASES] Audience Demographics: [WHO'S COMMENTING] Escalation Triggers: [CRISIS KEYWORDS/SENTIMENT THRESHOLDS] Response Time SLA: [MINUTES/HOURS BY COMMENT TYPE] Language Requirements: [MULTILINGUAL NEEDS IF APPLICABLE] Create one response system including: -Comment classification framework (question/praise/complaint/spam/urgent/opportunity) -ChatGPT response generation prompts (20+ variations by comment type and sentiment) -Personalization requirements (name usage, context references, conversation history) -Brand voice consistency checklist (tone verification, approved phrases, prohibited language) -Emoji and GIF usage guidelines (platform-specific, sentiment-appropriate) -Length optimization by platform (character limits, readability standards) -Sentiment detection triggers (positive/neutral/negative thresholds) -Human review workflow (what requires approval, escalation paths, quality scoring) -Response speed tiers (VIP/urgent/standard/low-priority) -Performance metrics tracking (response time, satisfaction indicators, engagement rate) Engage authentically at scale while maintaining brand integrity and crisis prevention.

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参考资料

分类:marketing| twitter| social-media| comment-automation

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