our-claude-skills/custom-skills/27-seo-ai-visibility/desktop/SKILL.md

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 our-seo-agent CLI or pre-fetched data. 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 our-seo-agent CLI or pre-fetched data 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 our-seo-agent CLI or pre-fetched JSON
3. Analysis: Calculate trends, compare competitors, analyze sentiment
4. Recommendations: Generate actionable Korean-language recommendations
5. Output: JSON report and Notion database entry

Data Source Selection

Single-vendor constraint. AI search visibility / Brand Radar / share-of-voice in AI answers is currently Ahrefs-only among connected SEO MCPs. Neither Semrush nor DataForSEO exposes equivalent endpoints today. This is the one SEO skill where the "let the user choose" framing collapses to a one-option menu for the core capability.

Backend	Best for	Notes
Ahrefs MCP — Brand Radar (mcp__ahrefs__brand-radar-*)	Default (and currently the only viable source) for AI mentions, impressions, share of voice, cited domains/pages, AI response history	Tools: brand-radar-ai-responses, brand-radar-cited-domains, brand-radar-cited-pages, brand-radar-impressions-overview, brand-radar-mentions-overview, brand-radar-sov-overview, brand-radar-sov-history, plus *-entities variants.
Ahrefs MCP — Management	Configure Brand Radar prompts and reports	management-brand-radar-prompts, management-brand-radar-reports.
OurSEO brand monitoring (mcp__ourseo__monitor_brand / our research google brand)	Web-wide brand mention scanning — not AI-search specific, but useful as a supplement to compare with AI citations	Catches brand mentions in standard Google search; complements Brand Radar's AI-specific view.
WebSearch	Manual spot-check of AI engines (ChatGPT, Gemini, Perplexity) by querying directly	Not automated — useful for one-off "did the brand appear?" checks.
Semrush MCP	No equivalent. Listed in allowed-tools only for future compatibility if Semrush adds an AI-visibility product.	Do not attempt to substitute Semrush for Brand Radar today.

How to pick

1. User named Ahrefs explicitly → use Brand Radar.
2. Task is AI mentions / impressions / share of voice / cited pages → Brand Radar is the only option; use it.
3. Task is general brand monitoring across the web (not AI-specific) → OurSEO monitor_brand is sufficient and cheaper.
4. Task explicitly compares AI vs traditional brand visibility → run both Brand Radar AND OurSEO monitor_brand, document the source per data slice.
5. No alternative needed for the core AI-visibility capability — skip the AskUserQuestion fallback unless the user expresses preference uncertainty.

Backend call patterns

Ahrefs Brand Radar (default):

mcp__ahrefs__brand-radar-impressions-overview(brand="<brand>")
mcp__ahrefs__brand-radar-mentions-overview(brand="<brand>")
mcp__ahrefs__brand-radar-sov-overview(brand="<brand>", competitors=["<comp1>","<comp2>"])
mcp__ahrefs__brand-radar-sov-history(brand="<brand>", history="weekly")
mcp__ahrefs__brand-radar-cited-domains(brand="<brand>")
mcp__ahrefs__brand-radar-cited-pages(brand="<brand>")
mcp__ahrefs__brand-radar-ai-responses(brand="<brand>")
mcp__ahrefs__brand-radar-impressions-history(brand="<brand>", history="weekly")
mcp__ahrefs__brand-radar-mentions-history(brand="<brand>", history="weekly")

Configure prompts / reports:

mcp__ahrefs__management-brand-radar-prompts()
mcp__ahrefs__management-brand-radar-reports()

OurSEO brand monitoring (supplement):

mcp__ourseo__monitor_brand(brand="<brand>", exclude_domains=["<own.com>"])

Or CLI:

our research google brand "<brand>" --exclude <own.com>

Tracking note

Brand Radar requires the brand to be configured in the user's Ahrefs workspace via management-brand-radar-prompts. If a query returns empty, first check that the brand is set up — don't conclude "no AI visibility" from an empty Brand Radar response without verifying configuration.

Always record the chosen data source(s) in the report Overview so future audits can compare like-for-like.

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 our-seo-agent CLI or pre-fetched AI visibility data
• 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"