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>
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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
- 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)
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"