brand_context_analyzer

Skill: Brand Context Analyzer

Execution Steps

1. Accept brand name and optional domain.
2. Run brand_context.py to scan web for brand mentions.
3. Analyze: Sentiment (positive/neutral/negative), source authority, mention context.
4. Track: Volume trends over time, new mention sources, competitor comparison.
5. Report: Brand health score + key mentions + action items.

Use Cases

• Client brand monitoring for reputation management
• E-E-A-T signal verification (brand mentions as authority proof)
• Competitive brand perception analysis
• PR crisis early detection

Quality Validation

• [ ] Brand mentions accurately identified (no false positives)
• [ ] Sentiment analysis is reasonably accurate
• [ ] Sources are properly attributed and categorized