About brand-monitoring
brand-monitoring is a skill for planning proactive detection of impersonation, trademark infringement, counterfeits, and other brand abuse. It helps teams choose monitoring channels, methods, cadence, and escalation steps based on scope, budget, and risk.
Key features
- 01Assess scope, budget, and risk
- 02Identify threats across channels
- 03Plan manual and automated monitoring
- 04Set monitoring cadence by risk
- 05Prepare queries, alerts, and escalation
Use cases
- 01Creating a brand monitoring plan
- 02Selecting manual checks or monitoring vendors
- 03Setting alerts for brand and product names
- 04Escalating confirmed infringement for takedown
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/brand-monitoringin Claude Code to confirm it loaded.
Details
From the project READMEStrategies: 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