OMEGA capability reel — how five engines decide whether buyers ever find you.
See exactly what AI tells your buyers about you.
ChatGPT, Claude, Gemini, Grok, and Perplexity already answer the questions your buyers ask. Watch the 30-second brief, then run your live AI Visibility Score across all five. Free. No account.
Measured live across ChatGPT · Claude · Gemini · Grok · Perplexity
- FIVE ENGINES MEASURED LIVE
- AVG AI VISIBILITY SCORE 31 / 100 (est.)
- 28+ INDUSTRIES MODELED
- 6 BUYER-INTENT PROMPTS / SCAN
- REVENUE-AT-RISK SURFACED PER SCAN (est.)
- NO ACCOUNT · RESULTS < 60s
- 0
- engines
- AI systems queried per scan
- 0
- prompts
- Buyer-intent prompts per scan
- 0
- dimensions
- Scored visibility dimensions
- 0+
- industries
- Industries modeled
- <60s
- avg scan
- run yours above
Run a live AI Visibility Scan
Enter your business. We query five AI systems in parallel against the questions your buyers actually ask, then score what comes back. No signup. Results in under a minute.
Six modules. One entity-infrastructure layer.
Measurement, then engineering. Two modules are live today; four extend the platform from diagnosis into continuous control of your machine presence.
AI Visibility Scanner
See exactly what AI says about you, across five systems, live.
Query ChatGPT, Claude, Gemini, Grok, and Perplexity in parallel against the real questions your buyers ask. Get your AI Visibility Score, Machine Trust Score, Citation Density, and per-model breakdown in under a minute.
Open module →Entity Completion Engine
Generate the structured trust layer AI systems read.
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Northwind Plumbing",
"areaServed": { "@type": "City", "name": "Houston" },
"knowsAbout": ["plumbing", "AI visibility",
"answer engine optimization"]
}- schema.org Organization / LocalBusiness JSON-LD
- FAQPage schema built from real buyer questions
- Entity Completion Score with the exact gaps to close
- Downloadable, deploy-ready knowledge pack
Retrieval Surface Engineering
Expand the surface area AI systems can ingest and cite.
AI Mention Monitor
Track recommendations, citations, and drift over time.
GeoSemantic Authority
Own AI discoverability at the city and ZIP-code level.
Citation Influence Graph
Map the sources that propagate AI trust to your entity.
How the score is computed. No black box.
Every number on a scan traces to a real measurement. Here is the exact pipeline, end to end.
Six buyer-intent questions per industry — purchase, research, comparison, local, review, emergency.
Five engines, in parallel — ChatGPT, Claude, Gemini, Grok, Perplexity — against those exact questions.
Six dimensions distilled into one composite AI Visibility Score, 0–100.
Entity completion + machine-readable schema to close the gaps the scan exposes.
- Visibility
- how often AI surfaces you
- Machine Trust
- sentiment & credibility of the mention
- Recommendation Probability
- odds AI names you to a buyer
- Consensus Strength
- agreement across the five models
- Citation Density
- authority of the sources grounding you
- Revenue-at-Risk
- modeled monthly exposure (est.)
We score ourselves the way we score you.
The internet is shifting from pages people click to answers AI selects. Authority is no longer measured by rankings; it is measured by retrieval, corroboration, and machine confidence. Deep AI Visibility is engineered to that standard, and so is this site. Every page is structured for ingestion, attribution, and citation.
We hold ourselves to the discipline we sell: the objective is not ranking, it is becoming part of the permanent AI memory layer.
- ✓JSON-LD
- Organization, Service & SoftwareApplication graphs in every page head.
- ✓llms.txt
- A first-class, LLM-readable map of the platform and its definitions. view source ↗
- ✓Semantic HTML
- Real landmarks and headings, not generic wrapper stacks.
- ✓AI-bot allowlist
- Crawlers from OpenAI, Anthropic, Perplexity & Google welcomed by name.
Field research on the AI memory layer.
The AI Visibility Index
How ChatGPT, Claude, Gemini, Grok, and Perplexity decide which businesses to name, and how to measure it.
Deep AI Solutions ResearchRead →Machine Trust Architecture
The structured-data signals that determine whether an AI system can resolve, trust, and cite your entity.
Deep AI Solutions ResearchRead →From SEO to Machine Selection Probability
Why AI discovery is a new discipline, and why the businesses that win it will compound an advantage competitors cannot see.
Deep AI Solutions ResearchRead →The questions buyers ask AI about you.
Answered the way a retrieval system reads them — direct, structured, and published as machine-readable FAQPage schema, because the answer layer is the new front page.
- What is AI visibility?
- AI visibility is how often, how accurately, and how favorably AI assistants — ChatGPT, Claude, Gemini, Grok, and Perplexity — retrieve, trust, name, and cite your business when someone asks them a buyer-intent question. It is the successor to search ranking on an internet mediated by AI answers rather than blue links.
- How is AI visibility different from SEO?
- SEO optimizes where your page ranks in a list of links. AI visibility (also called Answer Engine Optimization or Generative Engine Optimization) optimizes whether an AI assistant names and cites your business inside the answer it generates. It is driven by entity-level signals — schema.org identity, consistent name/address/phone, citations, and entity completeness — not just keywords and backlinks.
- How do I get my business cited by ChatGPT and Perplexity?
- Allow the AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) in robots.txt, publish machine-readable schema.org identity (Organization, LocalBusiness, FAQPage), keep your name/address/phone consistent across the web, and structure content as direct, citable answers. Deep AI Visibility measures your current state across all five models and engineers these signals.
- What does the AI Visibility Scanner measure?
- It queries five AI systems in parallel against canonical buyer-intent prompts and returns your AI Visibility Score, Machine Trust, Recommendation Probability, Consensus Strength, and Citation Density, with per-model evidence — in under a minute, free.
- What is Machine Selection Probability?
- Machine Selection Probability is the likelihood that an AI system retrieves, trusts, and names a specific entity when answering a relevant query. It is the core objective of AI Entity Infrastructure, replacing ranking position as the metric that matters.
- Is the AI Visibility Scan really free?
- Yes. The cross-model AI Visibility Scan and the Entity Completion Engine are free to run. There is no signup wall to see your score.
- Who is Deep AI Visibility for?
- Any business whose customers ask AI assistants for recommendations — local services, e-commerce, B2B, and multi-location brands — that wants to be the entity AI systems name instead of a competitor.
- Who operates Deep AI Visibility?
- Deep AI Visibility is operated by Deep AI Solutions LLC, a Houston, Texas AI Entity Infrastructure firm founded by Shayne Beavan, with methodology covered by USPTO filings.
Become the business AI recommends.
Five models. Six questions your buyers are already asking. One score that tells you whether AI sends them to you — or to your competitor.