The AI Entity Infrastructure company.
We measure and engineer how AI systems see, trust, and select a business — and we hold ourselves to the same standard, publishing this site as the cleanest machine-readable entity in the category.
What is Deep AI Visibility?
Deep AI Visibility is the AI Entity Infrastructure platform: the measurement, structured-data, and monitoring layer that determines how ChatGPT, Claude, Gemini, Grok, and Perplexity retrieve, trust, and recommend a business. It is the successor to SEO infrastructure for an internet mediated by AI retrieval rather than blue links.
Who founded it?
Deep AI Visibility is operated by Deep AI Solutions LLC and founded by Shayne Beavan, inventor of record on USPTO filings covering AI Entity Infrastructure. The company builds the cross-model measurement and machine-readable trust engineering that move a business into the AI answer.
What does the platform do?
It runs a live, free cross-model AI Visibility Scan across five systems, deterministically generates publish-ready schema.org and FAQPage identity through the Entity Completion Engine, and — across the OMEGA roadmap — engineers retrieval surface, monitors AI mentions, builds GeoSemantic authority, and maps the citation influence graph.
Why does machine-readable identity matter?
The objective is Machine Selection Probability: the likelihood an AI system retrieves, trusts, and names your business when it answers a buyer's question. Structured, consistent, machine-ingestible identity is the strongest lever on that probability — and most businesses have not built it yet.