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nexscope-ai
nexscope-aiOFFICIAL
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brand-monitoring

Monitor brand mentions and sentiment across social media platforms.

632|93|Updated Mar 18, 2026
Search Tags:#social media#sentiment analysis#brand monitoring#trend tracking#mention monitoring
One-click install
npx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill brand-monitoring-nexscope-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: brand-monitoring
Source: https://github.com/nexscope-ai/eCommerce-Skills/tree/main/brand-monitoring
Command: npx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill brand-monitoring-nexscope-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables real-time monitoring of brand mentions and sentiment analysis across social media platforms, providing insights to improve brand reputation and customer satisfaction.

Core Features & Use Cases

  • Mention Monitoring: Track brand mentions across platforms like Reddit, Google News, YouTube, and DuckDuckGo.
  • Sentiment Analysis: Analyze the sentiment of mentions to identify positive, negative, or neutral sentiment trends.
  • Trend Tracking: Monitor mention volume changes over time to understand brand reach and public perception.
  • Crisis Detection: Detect negative sentiment spikes or crisis keywords to take immediate action.
  • Competitor Comparison: Analyze competitor mentions to understand the brand's share of voice.
  • Keyword Extraction: Identify trending topics and keywords related to the brand.
  • Report Generation: Generate weekly or monthly reports summarizing the brand's online presence.
  • Use Case: A company wants to track their brand's mentions and sentiment on social media platforms to identify potential reputation issues or areas for improvement.

Quick Start

Use the brand-monitoring skill to monitor brand mentions and sentiment by running the following command:

python3 scripts/monitor.py "YourBrand"

Frequently Asked Questions about brand-monitoring

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

FAQPage Schema
How do I monitor brand mentions and sentiment across social media platforms?▼

To monitor brand mentions and sentiment across social media, you can run an automated Python script that collects activity data and analyzes sentiment trends from platforms like Reddit, YouTube, and Google News.

What is social media sentiment analysis and trend tracking used for?▼

Social media sentiment analysis and trend tracking identify positive, negative, or neutral public perception, detect reputation crises via sentiment spikes, and measure brand reach by monitoring mention volume changes over time.

Do I need Python to track brand mentions and perform competitor comparison?▼

Yes, you need Python installed along with specific data collection and analysis libraries to track brand mentions, perform competitor comparison, and calculate your brand's share of voice.

Can I detect crisis keywords and negative sentiment spikes using automated monitoring?▼

Yes, automated monitoring can detect crisis keywords and negative sentiment spikes by continuously analyzing social media activity, enabling you to identify potential reputation issues and take immediate action.

What's the best way to generate weekly brand monitoring reports from social media data?▼

The best way to generate weekly or monthly brand monitoring reports is using an automated script that summarizes collected social media data, extracting trending keywords and mention volumes into a cohesive online presence summary.

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