social-listening

Monitor brand mentions and competitor activity across web and social channels.

3|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/CodeAlive-AI/ceo-ai-os --skill social-listening-codealive-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: social-listening
Source: https://github.com/CodeAlive-AI/ceo-ai-os/tree/main/skills/social-listening
Command: npx skills add https://github.com/CodeAlive-AI/ceo-ai-os --skill social-listening-codealive-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams discover what people are saying about a brand, competitor, or market topic across web and social channels, so they can spot sentiment shifts, customer pain, and emerging opportunities without manual monitoring.

Core Features & Use Cases

  • Brand monitoring: Find reviews, feedback, and mentions of your product across blogs, forums, news, and social platforms.
  • Competitor watch: Track competitor announcements, launches, and messaging to understand what they are shipping and how the market responds.
  • Pain-signal detection: Search for buyer complaints and problem phrases to surface prospects, objections, and content ideas.
  • Buyer language mining: Collect the exact words customers use when comparing alternatives or describing frustrations.
  • Use case: A founder can monitor weekly chatter about their startup, summarize sentiment, identify recurring objections, and turn those insights into outreach or positioning actions.

Quick Start

Ask the Skill to monitor your brand and top competitors, then return the most relevant mentions, sentiment, and next actions from recent web and social sources.

Frequently Asked Questions about social-listening

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track brand mentions and competitor activity across social media?

Brand monitoring across social media tracks mentions of your product and competitors on blogs, forums, news, and social platforms. It collects source-backed data from web search, X/Twitter, and LinkedIn to identify sentiment shifts and market responses.

What is social listening and how does it work for buyer language mining?

Social listening for buyer language mining searches web and social channels for exact customer phrases used when comparing alternatives or describing frustrations. It applies sentiment analysis to collected mentions to surface prospect pain signals and content ideas.

Can I use sentiment analysis to detect customer pain signals on X and LinkedIn?

Sentiment analysis detects customer pain signals on X and LinkedIn by searching for buyer complaints and problem phrases across web and social platforms. It summarizes findings into actionable follow-up recommendations for marketing and outbound workflows.

How do I monitor competitor announcements and messaging without manual tracking?

Competitor watch without manual tracking monitors competitor announcements and launches across web and social channels to understand what they are shipping. It automatically collects source-backed data to analyze how the market responds to their messaging.

What's the best way to find recurring objections and pain points from customer feedback?

The best way to find recurring objections from customer feedback is through pain-signal detection across social platforms. It searches for buyer complaints, applies sentiment analysis, and turns insights into outreach or positioning actions for marketing workflows.

Does brand monitoring work for tracking startup chatter and industry conversations weekly?

Brand monitoring works for tracking weekly startup chatter and industry conversations across web and social channels. It summarizes sentiment, identifies recurring objections, and returns relevant mentions with actionable next actions from recent sources.