Files
our-claude-skills/custom-skills/27-seo-ai-visibility/desktop/SKILL.md
Andrew Yim d2d0a2d460 Add SEO skills 33-34 and fix bugs in skills 19-34
New skills:
- Skill 33: Site migration planner with redirect mapping and monitoring
- Skill 34: Reporting dashboard with HTML charts and Korean executive reports

Bug fixes (Skill 34 - report_aggregator.py):
- Add audit_type fallback for skill identification (was only using audit_id prefix)
- Extract health scores from nested data dict (technical_score, onpage_score, etc.)
- Support subdomain matching in domain filter (blog.ourdigital.org matches ourdigital.org)
- Skip self-referencing DASH- aggregated reports

Bug fixes (Skill 20 - naver_serp_analyzer.py):
- Remove VIEW tab selectors (removed by Naver in 2026)
- Add new section detectors: books (도서), shortform (숏폼), influencer (인플루언서)

Improvements (Skill 34 - dashboard/executive report):
- Add Korean category labels for Chart.js charts (기술 SEO, 온페이지, etc.)
- Add Korean trend labels (개선 중 ↑, 안정 →, 하락 중 ↓)
- Add English→Korean issue description translation layer (20 common patterns)

Documentation improvements:
- Add Korean triggers to 4 skill descriptions (19, 25, 28, 31)
- Expand Skill 32 SKILL.md from 40→143 lines (was 6/10, added workflow, output format, limitations)
- Add output format examples to Skills 27 and 28 SKILL.md
- Add limitations sections to Skills 27 and 28
- Update README.md, CLAUDE.md, AGENTS.md for skills 33-34

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-14 00:01:00 +09:00

4.0 KiB

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

  1. Input: User provides target domain and optional competitors
  2. Data Collection: Fetch metrics from Ahrefs Brand Radar APIs
  3. Analysis: Calculate trends, compare competitors, analyze sentiment
  4. Recommendations: Generate actionable Korean-language recommendations
  5. 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)

Output Format

{
  "domain": "example.com",
  "impressions": {
    "total": 15000,
    "trend": "increasing",
    "period": "30d"
  },
  "mentions": {
    "total": 450,
    "positive": 320,
    "neutral": 100,
    "negative": 30,
    "sentiment_score": 0.72
  },
  "share_of_voice": {
    "domain_sov": 12.5,
    "competitors": {
      "competitor1.com": 18.3,
      "competitor2.com": 15.1
    }
  },
  "cited_pages": [
    {"url": "https://example.com/guide", "citations": 45},
    {"url": "https://example.com/faq", "citations": 28}
  ],
  "cited_domains": [
    {"domain": "example.com", "citations": 120},
    {"domain": "competitor1.com", "citations": 95}
  ],
  "recommendations": [
    "Create more FAQ-style content for AI citation capture",
    "Add structured data to improve AI answer extraction"
  ],
  "audit_id": "AI-20250115-001",
  "timestamp": "2025-01-15T14:30:00"
}

Limitations

  • Requires Ahrefs Brand Radar API access (not available in basic plans)
  • AI search landscape changes rapidly; data may not reflect real-time state
  • Share of Voice metrics are relative to tracked competitor set only
  • Sentiment analysis based on AI-generated text, not user perception
  • Cannot distinguish between different AI engines (ChatGPT, Gemini, Perplexity) without Brand Radar

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"