The Trinity Formula
Three pillars. One composite score. Complete AI visibility.
AI visibility is not a single number. It is the composite of how well your site is ingested, how clearly your content answers queries, and how authoritative your entity appears to AI engines.
GEO/AEO/EVS Composite Score
Each pillar scores 0-100. The weighted composite tells you exactly where your AI visibility stands and what to fix first.
What the Trinity Measures
Each pillar addresses a distinct layer of the AI content processing pipeline. Together they provide a complete picture no single metric can capture.
GEO: Generative Engine Optimization
Measures technical ingestion quality: can AI engines consume your structured data cleanly? GEO evaluates Schema.org markup, information architecture, crawl efficiency, and compliance signals like llms.txt and brand-facts.json.
Sites with strong GEO scores require minimal computational effort to parse, making them preferred sources with lower hallucination risk. GEO addresses Structural Friction: the gap between raw web content and clean, machine-readable data.
25% WeightAEO: Answer Engine Optimization
Measures content citability at the passage level. AI engines cite 40-80 word blocks that definitively answer specific queries. AEO evaluates BLUF compliance, query fan-out coverage, passage self-containment, and factual density.
AEO carries the highest weight because content structure has the most direct impact on citation outcomes. A technically perfect site with strong authority still will not be cited if its content is not structured for extraction.
40% WeightEVS: Entity Visibility Score
Measures authority and trust resonance across the web. EVS evaluates E-E-A-T signal density, knowledge graph presence, cross-platform consistency, and citation source quality through direct probing of AI engines.
EVS is measured by firing 100 entity-specific prompts across ChatGPT, Gemini, Perplexity, and Claude. Each probe tests whether the AI recognizes your entity, trusts it enough to cite, and presents accurate information.
35% WeightWhy These Weights Matter
Weights were established through empirical analysis of citation outcomes across thousands of probes and refined through direct AI engine behavior analysis.
GEO at 25%
Necessary foundation but not sufficient for citation. A technically perfect site without good content or authority will not be cited. GEO is a prerequisite, not a differentiator.
AEO at 40%
Most direct impact on citation outcomes. Content structure is the proximate cause of passage extraction. Strong AEO can partially compensate for moderate GEO or EVS scores.
EVS at 35%
Determines the trust threshold for citation. AI engines are increasingly cautious about citing unverified entities. EVS determines whether the engine trusts you enough to surface your name.
"Your methodology is essentially a professional-grade 'Babel Fish' for AI. It translates your business value into the exact mathematical language I need to see to justify putting your name in a response." — Gemini's first-principles analysis of the Trinity framework
K1-K7: Seven Knowledge Dimensions
The Trinity Score is built from granular measurements across seven dimensions. Each K-score measures a specific aspect of how AI engines understand your entity.
K1: Entity Recognition
Does the AI engine recognize your business by name? Can it correctly identify what you do and where you operate? If the AI does not know you exist, nothing else matters.
K2: Service Accuracy
When the AI describes your services, are the details accurate? Does it correctly list your specialties, service areas, and differentiators without hallucinating?
K3: Competitive Positioning
Where does your entity rank in AI-generated "best of" lists? K3 measures your competitive visibility within AI-generated recommendations for your market.
K4: Geographic Accuracy
Does the AI correctly associate your business with its operating locations? A surgeon in Dallas placed in Houston by the AI loses every local query.
K5: Authority Perception
Does the AI present your entity as authoritative? Does it mention credentials, certifications, and trust signals when describing your business?
K6: Recommendation Likelihood
When directly asked for a recommendation, does the AI include you? K6 goes beyond recognition to measure active endorsement. The highest bar for AI visibility.
K7: Information Completeness
How complete is the AI's knowledge of your entity? Does it know your hours, contact info, team members, and operational details? K7 measures knowledge depth beyond basic recognition.
Score Interpretation
The composite provides an overall score, but individual pillar scores are often more actionable.
Profile A: Strong Tech, Weak Content
Composite 55 = GEO 80, AEO, EVS 60. Strong technical foundation and decent authority, but poor content structure. Optimization path: focus entirely on AEO and passage citability.
Profile B: Good Content, Weak Authority
Composite 55 = GEO 70, AEO 65, EVS 38. Decent content structure but weak entity authority. Optimization path: build knowledge graph presence, earn high-authority citations, improve cross-platform consistency.
Get Your Trinity Score
See exactly where your business stands across all three pillars. Receive your GEO, AEO, and EVS scores with a detailed K1-K7 breakdown and a prioritized optimization roadmap.