AEO Scorecard: Measuring AI Visibility
The Four AEO Metrics
Track these metrics to measure Answer Engine Optimization success:
- AI Visibility
Definition: Are you recommended for your priority queries?
How to Measure:
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Test priority queries in ChatGPT, Perplexity, Gemini, Claude
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Document which queries return your brand
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Track visibility over time (weekly/monthly)
Tools:
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HubSpot AEO Grader (free audit)
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XFunnel (comprehensive tracking)
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Manual testing with query lists
Target: Appear in recommendations for 60%+ of priority queries.
- 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:
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Distinguishes platform changes (everyone drops) from brand failures (you drop, competitors stay)
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Tracks competitive position in AI recommendations
Example:
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Query: "Best CRM for small business"
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Total recommendations across 10 AI sessions: 50 brand mentions
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Your brand mentioned: 8 times
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Share of Voice: 16%
Target: Match or exceed your traditional search market share.
- AI Citations
Definition: How often is YOUR WEBSITE the source of the answer?
Why It Matters:
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Being cited = more positive recommendation
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Citation = authority signal for future queries
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Direct traffic potential from "learn more" links
How to Track:
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Monitor AI bot traffic in analytics (GPTBot, Anthropic-AI, etc.)
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Use XFunnel to track citation sources
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Test queries and note source attribution
Target: Be cited (not just mentioned) in 30%+ of relevant queries.
- Referral Demand
Definition: Traffic and conversions that originated in AI but didn't click through immediately.
The Problem: AI users often:
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Get answer from AI
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Remember brand name
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Search directly or visit later
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No referral attribution
How to Measure: Implement post-purchase survey:
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"How did you first hear about us?"
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Options: "AI assistant (ChatGPT, Perplexity, etc.)"
Survey Placement:
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Post-purchase confirmation
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Onboarding flow
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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:
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GPTBot (OpenAI)
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Anthropic-AI (Claude)
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Google-Extended (Gemini)
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PerplexityBot
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CCBot (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
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Week 1: Run visibility audit on priority queries
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Week 2: Calculate share of voice vs. top 3 competitors
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Week 3: Analyze citation sources and bot traffic
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Week 4: Review referral demand survey data
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Monthly: Update scorecard, prioritize improvements