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Andrew Yim a3ff965b87 Add SEO skills 19-28, 31-32 with full Python implementations

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>

2026-02-13 12:05:59 +09:00

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name, description

name	description
seo-ai-visibility	AI search visibility and brand radar monitoring. Tracks how a brand appears in AI-generated search answers using Ahrefs Brand Radar APIs. Triggers: AI search, AI visibility, brand radar, AI citations, share of voice, AI answers, AI mentions.

SEO AI Visibility & Brand Radar

Monitor and analyze brand visibility in AI-generated search results. This skill uses Ahrefs Brand Radar APIs to track impressions, mentions, share of voice, cited domains, cited pages, and AI response content.

Capabilities

AI Visibility Tracking

Impressions Overview - How often the brand appears in AI answers
Mentions Overview - Brand mention frequency across AI engines
Share of Voice (SOV) - Brand's share vs competitors in AI search
Historical Trends - Impressions, mentions, and SOV over time
Competitor Comparison - Side-by-side AI visibility metrics

AI Citation Analysis

AI Response Analysis - Content and sentiment of AI mentions
Cited Domains - Which source domains AI engines reference
Cited Pages - Specific URLs that get cited in AI answers
Citation Ranking - Frequency-based ranking of citations
Sentiment Analysis - Positive/neutral/negative distribution

Workflow

Input: User provides target domain and optional competitors
Data Collection: Fetch metrics from Ahrefs Brand Radar APIs
Analysis: Calculate trends, compare competitors, analyze sentiment
Recommendations: Generate actionable Korean-language recommendations
Output: JSON report and Notion database entry

Ahrefs MCP Tools

Tool	Purpose
`brand-radar-ai-responses`	AI-generated responses mentioning brand
`brand-radar-cited-domains`	Domains cited in AI answers
`brand-radar-cited-pages`	Specific pages cited in AI answers
`brand-radar-impressions-history`	Impression trend over time
`brand-radar-impressions-overview`	Current impression metrics
`brand-radar-mentions-history`	Mention trend over time
`brand-radar-mentions-overview`	Current mention metrics
`brand-radar-sov-history`	Share of voice trend
`brand-radar-sov-overview`	Current share of voice

Notion Output

All reports are saved to the OurDigital SEO Audit Log:

Database ID: 2c8581e5-8a1e-8035-880b-e38cefc2f3ef
Category: AI Search Visibility
Audit ID Format: AI-YYYYMMDD-NNN
Language: Korean (technical terms in English)

Example Queries

"example.com의 AI 검색 가시성을 분석해줘"
"AI search visibility for example.com with competitors"
"브랜드 레이더 분석: example.com vs competitor.com"
"AI 인용 분석 - 어떤 페이지가 AI 답변에서 인용되나요?"
"Share of Voice in AI search for our domain"

2.8 KiB Raw Blame History