Social Media Monitoring and Response Bot
Automatically monitor brand mentions, classify sentiment, and draft responses to comments and messages across social platforms.
The Prompt
Build a social media monitoring and response automation. Platforms: [Twitter/X / Instagram / Facebook / LinkedIn] Monitor for: [brand mentions / hashtags / competitor mentions / keywords] Response types: [customer support / engagement / complaints / compliments] Build the automation: Trigger: New mention/comment (via social media API or Mention.com webhook) Step 1 — Sentiment & Intent Classification (GPT-4): Classify mention as: - Complaint (urgent/non-urgent) - Question (needs answer) - Compliment (engagement opportunity) - Neutral mention - Crisis/PR risk (flag for immediate human review) Step 2 — Route by classification: Crisis → Immediate Slack alert to PR/management, do not auto-respond Complaint → Draft empathetic response + create support ticket Question → Search FAQ/knowledge base, draft accurate answer Compliment → Draft warm thank-you response with light CTA Step 3 — Response drafting (GPT-4): Generate response matching brand voice Keep under platform character limits Include relevant emoji if brand voice allows Flag any responses mentioning pricing/legal/HR for human review Step 4 — Approval queue: Save all drafts to Notion/Airtable approval board Slack notification with mention + draft for quick approve/edit/reject One-click approve posts the response Never auto-post without human approval.
Tips for Best Results
- →Build a library of approved response templates for common questions — feeds better AI drafts
- →Set response time SLA goals (e.g., complaints within 2 hours) and track in your CRM
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