Andrew Yim
a3ff965b87
12 new skills: Keyword Strategy, SERP Analysis, Position Tracking, Link Building, Content Strategy, E-Commerce SEO, KPI Framework, International SEO, AI Visibility, Knowledge Graph, Competitor Intel, and Crawl Budget. ~20K lines of Python across 25 domain scripts. Updated skill 11 pipeline table and repo CLAUDE.md. Enhanced skill 18 local SEO workflow from jamie.clinic audit. Note: Skill 26 hreflang_validator.py pending (content filter block). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
148 lines
5.0 KiB
Markdown
148 lines
5.0 KiB
Markdown
---
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name: seo-competitor-intel
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description: |
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Competitor intelligence and SEO benchmarking. Triggers: competitor analysis, competitive intelligence, competitor comparison, threat assessment, market position, benchmarking.
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---
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# SEO Competitor Intelligence & Benchmarking
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## Purpose
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Comprehensive competitor intelligence for SEO: auto-discover competitors, build profile cards, create head-to-head comparison matrices, analyze keyword overlap, track traffic trends, and score competitive threats. Supports Korean market analysis including Naver Blog/Cafe presence.
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## Core Capabilities
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1. **Competitor Discovery** - Auto-discover organic competitors via Ahrefs
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2. **Profile Cards** - DR, traffic, keywords, referring domains, top pages, content volume
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3. **Comparison Matrix** - Multi-dimensional head-to-head comparison
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4. **Keyword Overlap** - Shared, unique, and gap keyword analysis
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5. **Threat Scoring** - 0-100 score based on DR gap, traffic ratio, keyword overlap, growth
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6. **Competitive Monitoring** - Traffic trends, DR changes, keyword movement, content velocity
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7. **Alert Generation** - Flag significant competitive movements
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8. **Market Share Estimation** - Organic traffic share within competitive set
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## MCP Tool Usage
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### Ahrefs for Competitive Data
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```
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mcp__ahrefs__site-explorer-organic-competitors: Discover organic competitors
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mcp__ahrefs__site-explorer-metrics: Current organic metrics
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mcp__ahrefs__site-explorer-metrics-history: Historical metric trends
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mcp__ahrefs__site-explorer-domain-rating: Domain Rating score
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mcp__ahrefs__site-explorer-domain-rating-history: DR trend over time
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mcp__ahrefs__site-explorer-organic-keywords: Keyword rankings per domain
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mcp__ahrefs__site-explorer-top-pages: Top performing pages
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mcp__ahrefs__site-explorer-pages-by-traffic: Pages ranked by traffic
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mcp__ahrefs__site-explorer-referring-domains: Referring domain list
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mcp__ahrefs__site-explorer-backlinks-stats: Backlink overview
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mcp__ahrefs__site-explorer-pages-history: Page index history
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```
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### Notion for Report Storage
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```
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mcp__notion__notion-create-pages: Save reports to SEO Audit Log
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```
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### WebSearch for Korean Market
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```
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WebSearch: Check Naver Blog/Cafe presence for competitors
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```
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## Workflow
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### Competitor Profiling
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1. Accept target URL/domain
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2. Auto-discover competitors via Ahrefs organic-competitors (or use provided list)
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3. Build profile card for target and each competitor (DR, traffic, keywords, backlinks, content)
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4. Analyze keyword overlap between target and each competitor
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5. Build multi-dimensional comparison matrix
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6. Score competitive threats (0-100)
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7. Determine market position (leader/challenger/follower/niche)
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8. If Korean market: check Naver Blog/Cafe presence
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### Competitive Monitoring
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1. Accept target, competitors, and monitoring period
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2. Fetch traffic trend history for all domains
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3. Fetch DR trend history for all domains
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4. Track keyword movement (new/lost keywords)
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5. Compare content publication velocity
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6. Generate alerts for significant changes (>20% traffic, DR jump, keyword surge)
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7. Estimate market share within competitive set
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## Output Format
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### Profiling Report
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```markdown
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## Competitor Intelligence Report: [domain]
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### Target Profile
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- Domain Rating: [DR]
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- Organic Traffic: [traffic]
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- Keywords: [count]
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- Referring Domains: [count]
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### Competitors (by threat score)
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1. **[competitor.com]** - Threat: [score]/100
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- DR: [value] | Traffic: [value] | Keywords: [value]
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- Keyword Overlap: [shared] shared, [gap] gap
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- Strengths: [list]
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- Weaknesses: [list]
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### Comparison Matrix
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| Dimension | Target | Comp1 | Comp2 |
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|-----------|--------|-------|-------|
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### Market Position: [leader/challenger/follower/niche]
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```
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### Monitoring Report
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```markdown
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## Competitive Monitoring Report: [domain]
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### Period: [N] days
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### Alerts
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- [severity] [message]
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### Traffic Trends
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| Domain | Direction | Growth | Current |
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### Keyword Movements
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| Domain | New | Lost | Net |
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### Market Share
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| Domain | Traffic% | Overall% |
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```
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## Threat Scoring Methodology
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| Factor | Weight | Scale |
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|--------|--------|-------|
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| DR Gap | 20% | -30 to +30 mapped to 0-100 |
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| Traffic Ratio | 30% | 0x to 2x+ mapped to 0-100 |
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| Keyword Overlap | 25% | 0-50%+ mapped to 0-100 |
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| Gap Keywords | 25% | Ratio to target keywords |
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## Alert Thresholds
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| Alert Type | Threshold | Severity |
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|------------|-----------|----------|
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| Traffic change | >20% | warning; >50% critical |
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| DR change | >3 points | warning; >5 critical |
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| Keyword surge | >15% growth | warning |
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| Content burst | >2x avg velocity | info |
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## Limitations
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- Ahrefs data has ~24h freshness lag
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- Keyword overlap limited to top 1,000 keywords per domain
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- Content velocity based on Ahrefs page index (not real-time crawl)
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- Naver presence detection is heuristic-based
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## Notion Output (Required)
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All reports MUST be saved to OurDigital SEO Audit Log:
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- **Database ID**: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
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- **Properties**: Issue (title), Site (url), Category ("Competitor Intelligence"), Priority, Found Date, Audit ID
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- **Language**: Korean with English technical terms
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- **Audit ID Format**: COMP-YYYYMMDD-NNN
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