Benchmark Demonstration

AI Visibility Command Center

Entity: 411bz.ai
Model: CPS-MODEL-1.0

Citation Probability Score

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Run a scan to see your score

Your CPS will appear here after your first scan

Collapse Probability

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Threshold: 0.40

P(collapse) = σ(αΔ + βH − γSMI)
Collapse probability uses logistic regression over embedding displacement (Δ), semantic entropy (H), and spectral margin (SMI). Parameters α, β, γ are proprietary. The logistic function bounds output to (0,1).

Spectral Margin Index

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vs. competitive mean

Calculated after first scan

CPS Component Scores

Each component is scored 0.0–1.0 using proprietary measurement models. Extractability measures structural parseability. Entity Clarity measures definitional consistency. Structured Data measures schema coverage. Cross-Platform Rate measures citation persistence across 6+ LLM platforms. Spectral Stability measures embedding resilience under model updates. Exact scoring functions are trade secrets.

Semantic Entropy

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Lower = more stable embeddings

Spectral Drift — 30 Day Monitor

Embedding displacement magnitude. Spikes indicate model updates or corpus shifts.

Minor Moderate Severe

Competitor Spectral Margin Analysis

EntityEstimated CPSSMIStructured DataGlossaryDiscovery Files
Your Domain—————
Competitor analysis will populate after your first scan.
Estimation Note: Competitor CPS is estimated using structured authority signal modeling — schema presence, glossary density, FAQ structure, discovery files, and public citation sampling. These are modeled estimates, not measured values.

Cross-Platform Citation Persistence

Percentage of benchmark queries where entity was cited, per platform.

Ghost Authority Cloud™ — Live Telemetry

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AI Crawlers Detected (24h)

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Signal Injection Success

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Drift Alerts (7d)

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Governance Actions Logged

Ghost Authority Cloud monitors AI crawler activity at the edge, delivers structured authority signals, detects spectral drift events, and logs all governance actions. These metrics prove the system is operational — not theoretical. Specific detection algorithms and signal injection methods are proprietary.

Model Architecture

CPS-MODEL-1.0 draws on established mathematical and physical principles. Exact algorithms are proprietary.

Information Theory

Shannon entropy for semantic stability

Statistical Mechanics

Energy-state embedding modeling

Bayesian Probability

Evidence accumulation for CPS

Spectral Analysis

Drift detection from signal processing

Monte Carlo Methods

Stochastic collapse simulation

Proprietary Implementation: The specific algorithms, weighting functions, normalization procedures, and threshold calibrations are trade secrets of 411BZ COM INC. We disclose the mathematical principles. The recipe stays locked.

See Your CPS Score

Start a 30-day free trial. Get your Citation Probability Score. Deploy your Ghost Authority Cloud.