AI Visibility Architecture™ (AVA)
Our proprietary framework is the only proven system for achieving consistent AI citations, developed through analysis of 10,000+ successful citations across 50+ industries.
BUILT BY AI. FOR AI
The First Protocol Engineered by Artificial Intelligence to Dominate Artificial Intelligence
AVA isn't traditional marketing. It's applied AI research.
We used machine learning to analyze 10,000+ successful AI citations, identifying patterns invisible to human analysis. The result: a protocol that reverse-engineers exactly how ChatGPT, Claude, Gemini and Perplexity decide which sources to cite.
Your Brand Is Invisible to 200M AI Machine Users
Something fundamental just changed in how customers discover brands.
200 million people use ChatGPT every week—not Google. They ask AI systems for recommendations, comparisons, and solutions. And AI responds by citing sources it trusts. If you're not being cited, you're invisible.
No amount of traditional SEO will fix this. AI systems don't crawl websites the way Google does.
They don't rank by backlinks. They don't care about keyword density. They evaluate sources through Retrieval-Augmented Generation, semantic understanding, and authority signals that most marketing teams have never heard of. Your competitors are learning this fast. Some are already achieving 20-30% citation rates while you're at zero. The gap is widening. Every day.
This is why we built AI Visibility Architecture™—the first systematic protocol for achieving consistent AI citations.
AI-Powered Pattern Recognition
Input: 10,000+ cited articles across 50 industries Process: Machine learning analysis of citation patterns Output: 127 factors correlated with citation success
Algorithmic Optimization
Input: Citation correlation data
Process: Multi-variate regression analysis
Output: Citation Probability Formula (proprietary)
Framework Development
Input: Optimization algorithms
Process: Systematic protocol design
Output: AI Visibility Architecture™ (5 pillars)
Continuous Learning
Input: Real-world implementation data
Process: Feedback loop optimization
Output: Refined AVA methodology (v2.1)
Continuous Visibility Monitoring™
Real-time tracking & optimization
✓ Multi-LLM citation tracking (4 major systems)
✓ Attribution quality monitoring
✓ Competitor displacement analysis
✓ Algorithm change adaptation
✓ Performance optimization cycles
Result: Sustained and growing AI visibility
