A two-layer measurement of how AI engines see your destination. The Website Score measures whether AI can read your web presence and the third-party sources that cover you. The Perception Score measures what AI says about you when asked. Both feed the composite Destination Health Index.
01Layer one
DAVI™ Website Score
76
Measures whether AI engines can find, parse, and extract content from your destination's web presence. Five sub-components: Discoverability (crawler access across 10+ AI bots, sitemap, JavaScript rendering), Site Architecture (download time, JSON-LD structured data, semantic HTML, readability), Editorial Surface (text density, identifiable prose), External & Earned Readability (which third-party sources covering your destination are themselves AI-readable), and the Zertura Destination Layer (structured destination schema, canonical entity definitions, and the Content Deployment Program output that lands on partner sites). Scored 0 to 100. Re-audited monthly.
02Layer two
DAVI™ Perception Score
92
Measures what AI engines actually say about your destination when prompted. Five dimensions scored equally (Presence, Accuracy, Distinctiveness, Recency, Sentiment) plus a Brand Pillar Alignment sub-component that grades each of your defined brand pillars STRONG / PARTIAL / GAP based on direct LLM querying. Run across ChatGPT, Claude, Gemini, Perplexity, and Grok against 18 standardized visitor-intent prompts per entity, with multiple runs per quarter to capture sampling variance. Scored 0 to 100.
03The composite
Composite formula
Destination Health Index = (0.40 × Website Score) + (0.60 × Perception Score). The 40/60 weighting reflects the priority most destinations place on what AI says over whether AI can read them, but the weighting is configurable per client to reflect local priorities.
Destination Health Index = (0.4 × 76) + (0.6 × 92) = 86
04Methodology note
On measurement and AI's non-deterministic nature.
AI responses are non-deterministic. Any individual response is one draw from a distribution and cannot be predicted exactly. DAVI does not claim to predict individual responses.
DAVI measures the directional distribution of AI behavior across 5 models, 18 prompts per entity, and multiple runs per quarter, with reported variance. This is the same statistical posture used in election polling, clinical trials, and brand tracking studies.
"Stochastic" doesn't mean "unmeasurable." It means "sample-based with confidence intervals." The Website Score answers a determinate question about HTML readability. The Perception Score answers a probabilistic question about AI behavior. Both are operating metrics.
Score bands
01Excellent85 to 100
85 to 100. Best in class for this destination size and category.
02Strong70 to 84
70 to 84. Healthy performance. Protect the gains and look for selective lift.
03Watch55 to 69
55 to 69. Below where it should be and likely to slide further without action.
04Critical0 to 54
Below 55. The dimension is actively pulling the composite down and needs immediate attention.