Create an AI Social Media Listening Agent
Design an AI agent that monitors social media and news for brand mentions, competitor activity, and industry trends, then generates daily intelligence briefs.
Build an automated social listening system that provides real-time brand intelligence and early warning for reputation risks.
At a glance
Access
Free prompt
Open to copy — no account or payment needed.
Prompt objective
Build an automated social listening system that provides real-time brand intelligence and early warning for reputation risks.
Real use case
A consumer brand has no systematic way to track what people say about them online. A viral complaint went unnoticed for 3 days, causing significant brand damage.
Customize these fields first
Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.
Prompt
Act as a brand intelligence architect. Design an AI social listening agent for [BRAND NAME] in the [INDUSTRY] sector. **Context:** - Monitoring scope: brand name, product names, executive names, [NUMBER] competitor names, [NUMBER] industry keywords - Platforms: X (Twitter), Reddit, LinkedIn, [PLATFORM 4], [PLATFORM 5] - Languages: [LANGUAGE 1], [LANGUAGE 2] - Alert audience: [MARKETING TEAM/PR/EXECUTIVES] - Volume: approximately [NUMBER] mentions per day **Deliverables (numbered):** 1. Agent architecture: multi-platform data ingestion, mention deduplication, sentiment analysis, topic classification, and urgency scoring 2. Monitoring queries: define search queries for brand, competitors, and industry terms with boolean logic, exclusions, and language filters 3. Sentiment and intent analysis: classify each mention as positive/negative/neutral, detect intent (complaint, praise, question, purchase intent, competitor comparison) 4. Alert tiers: - Critical: viral negative mentions (> [NUMBER] engagements), executive mentions, PR risks - Important: competitor product launches, industry trend shifts, influencer mentions - Informational: general brand mentions, customer questions, market sentiment shifts 5. Daily brief: structured report with top mentions, sentiment trend, competitor activity, emerging topics, and recommended actions 6. Response suggestions: for negative mentions and customer questions, draft appropriate responses with tone matching brand voice 7. Trend detection: identify emerging topics and sentiment shifts over [DAYS]-day windows, flag anomalies vs. baseline **Constraints:** - Must filter out spam, bot accounts, and irrelevant mentions - Must handle sarcasm and context-dependent sentiment - Must respect platform API rate limits and terms of service
Open directly in an AI — the text is pre-filled:
How to use this prompt
- 1Replace the key placeholders first: BRAND NAME, INDUSTRY, NUMBER, PLATFORM 4.
- 2Replace any bracketed placeholders like [this] with your own context.
- 3Add extra background information when you want more tailored results.
- 4Combine multiple prompts in one conversation when you need a richer output.
- 5Save your best-performing prompts so they are easy to reuse later.
Next best step
Open the guide first, then branch only if you still need more.
A fast starting guide for professionals who want to get AI working in the real world in less than a week.
If this prompt is close but not quite right, generate variants next. If the job is recurring, move into the course library after the guide.
Related prompts
View allDesign an AI Research Agent for Market Analysis
Create a specification for an AI agent that autonomously researches market trends, compiles competitor data, and generates weekly market intelligence reports.
Best for
Design an autonomous research agent that replaces 10 hours/week of manual market research with structured, actionable intelligence.
Build an AI Code Review Agent for Pull Requests
Design an AI agent that automatically reviews GitHub pull requests, checks for bugs, security issues, and style violations, then comments with actionable feedback.
Best for
Create an automated code review system that catches common issues before human review, reducing review time and improving code quality.
Create an AI Customer Support Triage Agent
Design an AI agent that reads incoming support tickets, classifies them by urgency and category, suggests responses, and routes to the right team.
Best for
Build an intelligent triage layer that reduces first-response time and ensures tickets reach the right team with context.
Design an AI Sales Outreach Agent
Build an AI agent that researches prospects, writes personalized outreach emails, sequences follow-ups, and updates the CRM with engagement data.
Best for
Automate the top-of-funnel outreach process while maintaining personalization quality that matches human-written emails.
Every prompt here is free. The course teaches the thinking behind them.
Copy as many prompts as you like. When you want to move from single prompts to a repeatable AI workflow, Learn AI in 30 Days walks through it, one day at a time.
Buy the course once ($15/$20 by length), or go all-access for $10/mo with a verifiable certificate.