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>
44 lines
1.3 KiB
Markdown
44 lines
1.3 KiB
Markdown
# Ahrefs
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## Tools Used
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### site-explorer-metrics-by-country
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- **Purpose**: Get country-level organic traffic distribution
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- **Usage**: Analyze which countries drive traffic to identify international SEO opportunities
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- **Parameters**: `target` (domain), `country` (optional filter)
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- **Example**:
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```
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mcp__ahrefs__site-explorer-metrics-by-country:
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target: example.com
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```
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### site-explorer-organic-keywords
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- **Purpose**: Get organic keyword rankings filtered by country
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- **Usage**: Analyze keyword performance in specific markets
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- **Parameters**: `target` (domain), `country` (ISO country code)
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- **Example**:
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```
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mcp__ahrefs__site-explorer-organic-keywords:
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target: example.com
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country: kr
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```
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## Configuration
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- Ahrefs MCP server must be connected in Claude Desktop
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- API access requires active Ahrefs subscription
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## Common Patterns
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### Country Traffic Analysis
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1. Call `site-explorer-metrics-by-country` to get traffic distribution
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2. Identify top countries by organic traffic share
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3. Compare with hreflang implementation coverage
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4. Flag countries with traffic but no localized version
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### Keyword Gap by Market
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1. Call `site-explorer-organic-keywords` with country filter
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2. Compare keyword counts across target markets
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3. Identify markets with low keyword coverage
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4. Recommend content localization priorities
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