The GEO Operating System
GenRankEngine is built on three layers: Observability to scan models, Intelligence to score entities, and Remediation to fix visibility gaps.
Observability Layer
Inputs: Prompts & Models
Multi-Model Interrogation
We don't simulate results. We query live models via API including GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, and Perplexity.
- Top-N Ranking (Is your product in the list?)
- Token Position Analysis (How early are you mentioned?)
- Cross-Model Consensus Checks
Intelligence Layer
Processing: Scoring & Diagnostics
Share of Voice (SoV)
We calculate your precise ownership of the "Answer Box" relative to competitors across thousands of permutations.
Hallucination Detector
We identify when a model claims your product is "too expensive" or "missing features" when it actually isn't.
Sentiment Vector
Beyond positive/negative. We analyze attributes: "Easy to use", "Enterprise only", "Startup friendly".
Remediation Layer
Outputs: Code & Content
The Entity Engine
Fixing AI visibility requires speaking the model's language: Structured Data. Our engine generates engineering-ready JSON-LD patches that explicitly define your product's pricing, features, and relationships to the model.
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "GenRankEngine",
"applicationCategory": "BusinessApplication",
"offers": {
"@type": "Offer",
"price": "49.00",
"priceCurrency": "USD"
},
"description": "The operating system for GEO...",
"sameAs": [
"https://twitter.com/genrankengine",
"https://linkedin.com/company/genrankengine"
]
}