# Deep AI Visibility

> Deep AI Visibility is the AI Entity Infrastructure platform. It measures and engineers how AI systems (ChatGPT, Claude, Gemini, Grok, and Perplexity) retrieve, trust, and recommend a business. It is a Deep AI Solutions company.

The objective is Machine Selection Probability: the likelihood that an AI system retrieves, trusts, and names a business when it answers a buyer's question. This replaces search ranking as the metric that matters on an internet mediated by AI retrieval rather than blue links.

## Core capabilities

- [AI Visibility Scanner](https://deepaivisibility.com/#scanner): Live, free. Queries five AI systems in parallel against six canonical buyer intents (purchase, comparison, research, local, review, emergency) and returns an AI Visibility Score, Machine Trust, Recommendation Probability, Consensus Strength, and Citation Density, with per-model evidence.
- [Entity Completion Engine](https://deepaivisibility.com/#entity): Live, free. Deterministically generates publish-ready schema.org Organization / LocalBusiness and FAQPage JSON-LD, an Entity Completion Score, and a downloadable knowledge pack.
- Retrieval Surface Engineering, AI Mention Monitor, GeoSemantic Authority, and Citation Influence Graph are on the roadmap.

## Key pages

- [AI Visibility vs SEO](https://deepaivisibility.com/ai-visibility-vs-seo): How Answer Engine Optimization differs from classic SEO, and what drives AI recommendations.
- [Research Division](https://deepaivisibility.com/research): Methodology and frameworks for AI Entity Infrastructure.
- [Glossary](https://deepaivisibility.com/glossary): Machine-readable definitions of the discipline's vocabulary.
- [About](https://deepaivisibility.com/about): Company background, founder, and mission.
- [Contact](https://deepaivisibility.com/contact): Reach the team about enterprise deployments and partnerships.

## Definitions

- AI Entity Infrastructure: the measurement, structured-data, and monitoring layer that determines how AI systems resolve, trust, and recommend a business.
- Machine Selection Probability: the likelihood an AI system retrieves, trusts, and names a specific entity when answering a relevant query.
- Machine Trust Architecture: the structured-data and corroboration signals (canonical name, category, locality, FAQ schema, verified profiles, ratings) that let an AI system resolve an entity with confidence.
- Retrieval Surface Engineering: maximizing the machine-ingestible surface area of an entity across documents, schema, APIs, and datasets.
- AI Memory Layer: the persistent representation of an entity inside retrieval indexes, embeddings, and model confidence.

## Common questions

- **What is AI visibility?** How often, accurately, and favorably AI assistants (ChatGPT, Claude, Gemini, Grok, Perplexity) retrieve, trust, name, and cite a business when answering buyer-intent questions. The successor to search ranking.
- **How is it different from SEO?** SEO optimizes page rank in a list of links; AI visibility (AEO/GEO) optimizes whether an AI assistant names and cites you inside the generated answer, driven by entity-level signals.
- **How do I get cited by ChatGPT/Perplexity?** Allow the AI crawlers in robots.txt, publish schema.org identity (Organization, LocalBusiness, FAQPage), keep name/address/phone consistent, and structure content as direct, citable answers.
- **Is the scan free?** Yes — the cross-model AI Visibility Scan and the Entity Completion Engine are free, no signup wall.

## Topics

AI visibility · Answer Engine Optimization (AEO) · Generative Engine Optimization (GEO) · AI Entity Infrastructure · Machine Selection Probability · Machine Trust Architecture · Retrieval Surface Engineering · schema.org structured data · llms.txt · ChatGPT visibility · Claude visibility · Perplexity citations · Gemini · Grok · Citation Density · Entity Completion · GeoSemantic Authority · AI Mention Monitoring · local AI visibility

## Honesty notes

- Revenue figures shown in scans are industry-calibrated estimates, not measured amounts.
- Generated schema is prepared for the operator to publish; it is not an audit of schema currently live on a site.
- AI systems with no configured API key in a given environment are excluded from a scan and clearly labeled. No results are fabricated for excluded systems.

## About

Deep AI Visibility is operated by Deep AI Solutions LLC (https://deepaisolutions.com), Houston, Texas. Founder: Shayne Beavan. AI Entity Infrastructure patents filed with the USPTO.

Contact: hello@deepaivisibility.com · +1-281-937-3337 · 3050 Post Oak Blvd, Suite 510, Houston, TX 77056, USA.