brand-monitoring
GitHub指导品牌监控策略，涵盖域名、社交媒体等渠道的商标侵权与仿冒检测。支持手动与自动化工具选型及监控频率设置，为品牌保护提供前置监测方案。
Trigger Scenarios
Install
npx skills add kostja94/marketing-skills --skill brand-monitoring -g -y
SKILL.md
Frontmatter
{
"name": "brand-monitoring",
"metadata": {
"version": "1.0.1"
},
"description": "When the user wants to monitor brand mentions, detect trademark infringement, or set up brand monitoring. Also use when the user mentions \"brand monitoring,\" \"brand watch,\" \"trademark watch,\" \"brand mentions,\" \"impersonation detection,\" \"counterfeit detection,\" or \"brand abuse monitoring.\" For enforcement, use brand-protection."
}
Strategies: Brand Monitoring
Guides ongoing brand monitoring—detecting impersonation, trademark infringement, counterfeit products, and brand abuse before they cause harm. Complements brand-protection (reactive: report, takedown); this skill covers proactive monitoring setup and tool selection.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Initial Assessment
Project context: Read root contextus.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.
Identify:
- Scope: Domain, social, marketplaces, paid search, dark web
- Budget: Manual vs automated; DIY vs vendor
- Risk level: High-value brand, prior incidents, or preventive
What to Monitor
| Channel | Threats |
|---|---|
| Domains | Typosquatting, brand+ai, brand+app, impersonation sites |
| Social media | Fake accounts, impersonation, unauthorized use |
| Marketplaces | Counterfeit products, unauthorized sellers (Amazon, eBay, Temu) |
| Paid search | Competitors bidding on brand terms; impersonator ads |
| App stores | Fake apps, trademark misuse |
| Web | Phishing sites, spoofed pages |
Manual Monitoring (Low Cost)
| Method | Frequency |
|---|---|
| Search | Brand name + variants (brand+ai, brand+app, brand+official) |
| Google Alerts | Brand name, product names |
| Social search | X, LinkedIn, Instagram for brand mentions |
| Marketplace search | Amazon, eBay for counterfeit listings |
Tip: Document findings; escalate to brand-protection for takedown when infringement is confirmed.
Automated Tools (Scale)
| Capability | Description |
|---|---|
| AI detection | Machine learning, image recognition, NLP to detect abuse across channels |
| Multi-channel | Domains, social, marketplaces, paid search, dark web |
| Enforcement | Case management, takedown workflows, platform integrations |
| Trademark watch | USPTO, trademark office monitoring; litigation insights |
Vendor types: BrandShield, Tracer Protect, CompuMark, CounterFind—evaluate by coverage, enforcement rate, and budget.
Monitoring Cadence
| Level | Cadence | Use |
|---|---|---|
| Basic | Weekly search; Google Alerts | Low-risk; preventive |
| Standard | Daily alerts; monthly marketplace check | Moderate risk |
| Enterprise | Real-time monitoring; dedicated vendor | High-value brand; prior incidents |
Output Format
- Monitoring plan (channels, cadence, tools)
- Search queries (brand + variants for manual check)
- Alert setup (Google Alerts, social)
- Escalation path (when to use brand-protection for takedown)
Related Skills
- brand-protection: Report, takedown, evidence collection—use when infringement is found
- domain-selection: Defensive registration; brand variants
- branding: Brand asset consistency; what to protect
Version History
-
26cef34
Current 2026-09-27 19:00
重构上下文获取逻辑，将 Contextus 确立为项目上下文的单一事实来源，替代原有的特定文件路径检查。
- 70987ba 2026-07-06 00:10
