AI-Powered Authority Infrastructure
Seven integrated systems that measure, engineer, deploy, and monitor the authority signals AI models use to decide who gets cited. Not tools � infrastructure.
Start Here
Authority Examiner
The 18-pillar AI visibility audit that reveals exactly where your business stands � and where it's invisible. Every scan produces a scored report covering entity binding, schema fidelity, cross-surface corroboration, competitive displacement, and 14 additional dimensions that determine whether AI models can find and cite your business.
This is where every client engagement begins. In under 60 seconds, you'll know your Citation Probability Score, your weakest authority pillars, and the specific engineering actions required to close each gap.
Run Free Scan →The Stack
Seven systems. One authority infrastructure.
Each product addresses a specific layer of the AI visibility problem. Together, they form a closed-loop system that continuously measures, builds, deploys, and defends your authority signal.
Authority Examiner
18-pillar AI visibility audit. Scans entity binding, schema fidelity, cross-surface corroboration, and 15 more dimensions. Outputs a scored report with engineering priorities.
Start Scan →Ghost Authority Layer
Automated authority deployment infrastructure. Distributes structured signals across the surfaces AI models actually ingest � without touching your existing website or CMS.
Learn More →Authority Knowledge Surface
LLM-optimized content hosting built for machine-readability. Content deployed here is structurally formatted for retrieval-augmented generation pipelines used by ChatGPT, Gemini, and Claude.
Learn More →AI Voice Receptionist
AI-powered voice bot that handles inbound calls with natural conversation. Routes callers, answers questions from your knowledge base, and books appointments � 24/7, with zero hold time.
Learn More →Citation Probability Score
The mathematical metric that predicts AI citation likelihood. Computed from the six primitives across all detectable authority surfaces. The only score purpose-built for LLM visibility.
Understand CPS →Spectral Margin Monitoring
Real-time AI visibility drift detection. Measures the gap between your authority signal and the citation threshold. When Spectral Margin narrows, you get alerted before citations disappear.
Understand SM →Governed Automation
Self-healing, human-governed AI workflows. Every automated action is logged, reversible, and subject to configurable review thresholds. Automation that operates within your governance boundary.
Our Methodology →How It Works
Five phases. Closed-loop authority engineering.
Each phase feeds the next. The system doesn't stop at deployment � it continuously monitors and repairs your authority signal as AI models evolve.
Scan
18-pillar audit of your AI visibility across all authority dimensions
Score
Citation Probability Score computed from the six mathematical primitives
Engineer
Gap analysis and authority signal design for each weak pillar
Deploy
Ghost Authority Layer and Knowledge Surface deployment at the edge
Monitor
Spectral Margin tracking with drift alerts and governed self-repair
The Difference
SEO was built for search engines. This is built for AI models.
AI models don't rank pages. They select authoritative sources. The signals that drive citation are fundamentally different from the signals that drive ranking.
Traditional SEO
- ✕ Optimizes for keyword ranking
- ✕ Measures page position on SERPs
- ✕ Builds backlinks for domain authority
- ✕ Content written for human readers
- ✕ Manual content publishing
- ✕ Monthly reporting cycles
Answer Authority Engineering
- ✓ Engineers entity-concept binding
- ✓ Measures Citation Probability Score
- ✓ Deploys cross-surface corroboration
- ✓ Content structured for LLM retrieval
- ✓ Automated Ghost Authority deployment
- ✓ Real-time Spectral Margin monitoring
7
Integrated products
18
Audit pillars per scan
6
Mathematical primitives
24/7
Drift monitoring