Benchmark Demonstration

AI Visibility Command Center

Name: 411bz AI Visibility Command Center
Creator: 411bz
License: https://411bz.ai/methodology.html

Entity: 411bz.ai

Model: CPS-MODEL-1.0

Citation Probability Score

0.83

+0.02 (7d)

Strong — high citation likelihood

Collapse Probability

0.17

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

+0.14

vs. competitive mean

Advantage

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

0.31

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

Entity	Estimated CPS	SMI	Structured Data	Glossary	Discovery Files
411bz	0.83	+0.14	0.91	25 terms	llms.txt, ai.txt, cps.json
Competitor A	0.69	−0.08	0.45	0 terms	None detected
Competitor B	0.62	−0.15	0.38	0 terms	None detected
Industry Average	0.58	—	0.22	—	—

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

147

AI Crawlers Detected (24h)

99.2%

Signal Injection Success

Drift Alerts (7d)

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.

Open Methodology → Research Foundations → Glossary → What Is CPS? →

See Your CPS Score

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