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brand-listening

Collect live public mentions and generate cited sentiment and theme insights.

Updated Jul 18, 2026
Search Tags:#sentiment analysis#social listening#reddit#x#brand monitoring#reputation management#bright data
One-click install
npx skills add https://github.com/farzanmrz/beat-radar-agent --skill brand-listening
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: brand-listening
Source: https://github.com/farzanmrz/beat-radar-agent/tree/main/.claude/skills/brand-listening
Command: npx skills add https://github.com/farzanmrz/beat-radar-agent --skill brand-listening

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand what people are actually saying about a brand, product, or person across live online sources, instead of relying on stale assumptions or training data.

Core Features & Use Cases

  • Live social listening: Collect mentions from Reddit, X/Twitter, Instagram, TikTok, YouTube, news, and review sites using Bright Data tooling.
  • Sentiment and theme analysis: Classify each mention as positive, neutral, negative, or mixed, then cluster recurring topics like pricing, support, quality, or reputation.
  • Cited reporting: Produce a digest with source URLs, representative quotes, caveats, and actionable recommendations.
  • Use case: A marketer can monitor launch buzz, a founder can triage complaints, or a communications lead can assess brand health over a recent time window.

Quick Start

Ask for a live brand listening report for the brand, product, or person you want to monitor, including the platforms and time window you care about.

Frequently Asked Questions about brand-listening

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

FAQPage Schema
How do I monitor brand mentions and sentiment across Reddit and X?▼

To monitor brand mentions and sentiment across Reddit and X, you need a social listening tool that collects live public data and classifies it into positive, negative, or neutral themes. This process applies source-backed mention normalization to ensure all insights are cited with URLs.

What is the best way to track product launch buzz across social media platforms?▼

Tracking product launch buzz across social media platforms involves collecting live public mentions from Reddit, X, Instagram, TikTok, and YouTube, then clustering recurring themes like pricing or quality. This yields a cited report with representative quotes and actionable recommendations.

Can I use social listening for reputation management on news and review sites?▼

Yes, social listening supports reputation management by collecting live public mentions from news and review sites alongside social platforms. It classifies sentiment and identifies complaint patterns or advocacy detection, providing source-backed insights for communications leads.

How does sentiment analysis classify mixed feedback during brand monitoring?▼

Sentiment analysis during brand monitoring classifies mixed feedback by evaluating each live mention against guardrails, categorizing it as positive, neutral, negative, or mixed. This classification is then clustered into themes like support or reputation for a final recommendations section.

Does brand monitoring require Bright Data tooling for cross-platform social listening?▼

Cross-platform social listening across Reddit, X, Instagram, TikTok, YouTube, news, and reviews uses Bright Data tooling to collect live public mentions. This data collection is required to perform mention normalization and generate cited sentiment insights.

What are the limitations of social listening for complaint discovery?▼

Limitations of social listening for complaint discovery include reliance on live public mentions and the need for source-backed normalization. The analysis provides representative quotes and caveats rather than private customer feedback, focusing strictly on public online chatter.

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