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Measurement framework for Answer Engine Optimization (AEO). Provides AI visibility metrics, share of voice tracking, citation monitoring, and referral demand measurement. Use when discussing AEO/GEO metrics or AI visibility performance.
This skill uses the workspace's default tool permissions.
AEO Scorecard: Measuring AI Visibility
The Four AEO Metrics
Track these metrics to measure Answer Engine Optimization success:
1. AI Visibility
Definition: Are you recommended for your priority queries?
How to Measure:
- Test priority queries in ChatGPT, Perplexity, Gemini, Claude
- Document which queries return your brand
- Track visibility over time (weekly/monthly)
Tools:
- HubSpot AEO Grader (free audit)
- XFunnel (comprehensive tracking)
- Manual testing with query lists
Target: Appear in recommendations for 60%+ of priority queries.
2. AI Share of Voice
Definition: Of all recommendations for a query, how often is YOUR brand named vs. competitors?
Calculation:
Share of Voice = (Your mentions / Total brand mentions) × 100
Why It Matters:
- Distinguishes platform changes (everyone drops) from brand failures (you drop, competitors stay)
- Tracks competitive position in AI recommendations
Example:
- Query: "Best CRM for small business"
- Total recommendations across 10 AI sessions: 50 brand mentions
- Your brand mentioned: 8 times
- Share of Voice: 16%
Target: Match or exceed your traditional search market share.
3. AI Citations
Definition: How often is YOUR WEBSITE the source of the answer?
Why It Matters:
- Being cited = more positive recommendation
- Citation = authority signal for future queries
- Direct traffic potential from "learn more" links
How to Track:
- Monitor AI bot traffic in analytics (GPTBot, Anthropic-AI, etc.)
- Use XFunnel to track citation sources
- Test queries and note source attribution
Target: Be cited (not just mentioned) in 30%+ of relevant queries.
4. Referral Demand
Definition: Traffic and conversions that originated in AI but didn't click through immediately.
The Problem: AI users often:
- Get answer from AI
- Remember brand name
- Search directly or visit later
- No referral attribution
How to Measure: Implement post-purchase survey:
- "How did you first hear about us?"
- Options: "AI assistant (ChatGPT, Perplexity, etc.)"
Survey Placement:
- Post-purchase confirmation
- Onboarding flow
- Trial signup
Target: Track trend over time; aim for growth in AI-attributed discovery.
AEO Scorecard Template
┌─────────────────────────────────────────────────────────┐
│ AEO SCORECARD │
│ Month: [DATE] │
├─────────────────────────────────────────────────────────┤
│ │
│ AI VISIBILITY [X]% → Target: 60%
│ ────────────────────────────────────── │
│ Priority queries with brand presence: X/Y │
│ │
│ AI SHARE OF VOICE [X]% → Target: Match SEO
│ ────────────────────────────────────── │
│ Your mentions / Total brand mentions │
│ Competitor A: X% | Competitor B: X% | You: X% │
│ │
│ AI CITATIONS [X]% → Target: 30%
│ ────────────────────────────────────── │
│ Queries where YOUR site is cited: X/Y │
│ │
│ REFERRAL DEMAND [X]% → Trend: ↑↓
│ ────────────────────────────────────── │
│ Post-purchase survey: "Found via AI" │
│ │
└─────────────────────────────────────────────────────────┘
Measurement Tools
| Tool | What It Measures | Cost |
|---|---|---|
| HubSpot AEO Grader | AI visibility audit | Free |
| XFunnel | Full AEO tracking suite | Paid |
| Manual Testing | Query-by-query visibility | Free (time) |
| Google Analytics | AI bot traffic | Free |
| Post-Purchase Survey | Referral demand | Free |
Setting Up AI Bot Tracking
In Google Analytics 4, create a segment for AI crawler traffic:
User Agents to Track:
GPTBot(OpenAI)Anthropic-AI(Claude)Google-Extended(Gemini)PerplexityBotCCBot(Common Crawl, used by many)
Interpreting Results
Scenario Analysis:
| Visibility | Share of Voice | Diagnosis |
|---|---|---|
| ↓ Down | ↓ Down | Platform algorithm change (industry-wide) |
| ↓ Down | → Stable | Your content quality declined |
| → Stable | ↓ Down | Competitors improved |
| ↑ Up | ↑ Up | Your AEO strategy is working |
Action Triggers
| Metric | Threshold | Action |
|---|---|---|
| Visibility < 40% | Critical | Run llm-optimizer on all priority content |
| Share of Voice < competitor | Competitive gap | Run entity-builder for authority building |
| Citations < 20% | Authority gap | Add original data, improve fact-density |
| Referral Demand flat | Attribution gap | Improve survey placement and options |
Monthly Review Cadence
- Week 1: Run visibility audit on priority queries
- Week 2: Calculate share of voice vs. top 3 competitors
- Week 3: Analyze citation sources and bot traffic
- Week 4: Review referral demand survey data
- Monthly: Update scorecard, prioritize improvements