Measure whether AI systems select your property, not just whether humans viewed it. Track AI Exposure, ASR, HSR, and Trust Score.
View Your MetricsAI retrieves property
ASR = selections ÷ exposures
HSR = actions ÷ recommendations
Booking, contact, or inquiry
These metrics track how AI systems discover, evaluate, and recommend your properties—complementing traditional web analytics.
Property was retrieved, considered, or evaluated by AI system for user intent
Tracks upstream demand before human conversion occurs
ASR = AI selections ÷ AI exposures. Measures how often AI selects your property.
Indicates how competitive your property is in AI discovery
Percentage of users who take action after AI recommendation.
Bridges the gap between AI recommendation and human action
Number of AI system queries where property was retrieved or evaluated.
Shows patterns in AI-mediated discovery demand
CONSIDER / DEFER / REJECT status from AI evaluation.
Provides visibility into AI reasoning and selection criteria
Signal based on verified data, documents, photos, completeness, and freshness.
0.0-1.0 score mapping to Platinum/Gold/Silver/Bronze tiers
The calculations behind each AI Selection Metric.
Measures AI selection decisions
ASR = AI selections ÷ AI exposuresMeasures human follow-through
HSR = Human actions ÷ AI recommendationsData reliability indicator (0.0-1.0)
Trust Score = (completeness × 0.4) + (documents × 0.3) + (photos × 0.2) + (freshness × 0.1)Complete conversion path
AI Exposure → ASR → HSR → ActionUnderstanding the difference between web analytics and AI-mediated discovery metrics.
| Traditional Metric | AI Selection Metric | Key Difference |
|---|---|---|
| Page Views | AI Exposure | Page views track human browsing. AI Exposure tracks when AI systems retrieve and evaluate properties for user queries. |
| Click-through Rate (CTR) | ASR | CTR measures ad clicks. ASR measures AI selection decisions based on data quality and user intent fit. |
| Conversion Rate | HSR | Conversion rate measures all traffic. HSR specifically measures human action after AI recommendation. |
| Bounce Rate | Decision Status (REJECT) | Bounce rate measures quick page exits. Decision Status shows why AI systems did not select properties. |
| User Ratings | Trust Score | User ratings reflect guest experiences. Trust Score indicates data completeness and verification status. |
| Traffic Sources | AI Traffic | Traffic sources show where humans came from. AI Traffic shows AI system activity and demand patterns. |
Understanding what these metrics do and do not guarantee.
Actions you can take to improve AI Selection Metrics and make your property more competitive in AI discovery.
Ensure all property fields are filled: location, amenities, policies, pricing, availability. Complete data contributes 40% to Trust Score.
Upload ownership proof, permits, compliance certificates. Document verification contributes 30% to Trust Score.
Add clear, recent property photos. Photo verification contributes 20% to Trust Score and helps AI systems understand property attributes.
Regularly update pricing, availability, and property details. Data freshness contributes 10% to Trust Score and affects AI selection likelihood.
Include attributes that match common guest intents: sea view, family-friendly, remote work, parking, flexible check-in, pet policies.
Specify how users can book, contact, or inquire after AI recommendation. Clear action paths improve HSR.
Generate prompts that include metric definitions, formulas, and guardrails.
Explain how ASR complements traditional revenue management metrics like occupancy, RevPAR, and ADR.
What does AI Exposure reveal about upstream demand before booking occurs?
How can revenue managers use the AI Selection funnel (Exposure → ASR → HSR) to optimize properties?
What relationship exists between Trust Score and ASR?
Generated prompt will include all metric formulas and guardrails
AI Exposure counts each instance where an AI system retrieved and evaluated a property for a specific user query. Unlike page views which track human browsing, AI Exposure tracks upstream demand before human conversion occurs.
ASR (AI Selection Rate) = AI selections ÷ AI exposures. A selection occurs when an AI system evaluates a property and decides to include it in recommendations to a user. ASR measures how competitive a property is in AI-mediated discovery.
HSR (Human Selection Rate) specifically measures the percentage of users who take action after an AI recommendation. Traditional conversion rates measure all traffic sources, while HSR isolates the AI-to-human conversion step.
Decision Status represents an AI system's evaluation outcome for a property: CONSIDER (selected for recommendation), DEFER (relevant but not top-priority), or REJECT (did not match requirements). This helps identify why properties may or may not be selected.
Trust Score is a computed indicator (0.0-1.0) based on: data completeness (40%), document verification (30%), photo verification (20%), and data freshness (10%). Scores map to tiers: Platinum (0.90-1.00), Gold (0.75-0.89), Silver (0.60-0.74), Bronze (0.00-0.59).
Improve ASR by enhancing data completeness, adding verified documents and photos, keeping information current (data freshness), and ensuring property attributes accurately match what AI systems expect for relevant queries.
Create your first VPR and start tracking AI Exposure, ASR, HSR, and Trust Score for your properties.
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