AI驱动的评论回复系统
来自 Wikiprompt,自由的提示词百科全书
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.
用法
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