Stage 01 · Baseline
Establish a multi-model prompt baseline.
We test how the major AI systems describe your brand, products, leadership, and risk profile — across diverse prompts, languages, and personas — to surface what's already being said about you.
Method 01
Prompt Inventory
Curated set of buyer, regulator, journalist, and competitor prompts.
Method 02
Multi-Model Sweep
Coverage across leading frontier models, refreshed on cadence.
Method 03
Drift Heatmap
A baseline scorecard of factual accuracy and narrative posture.
Stage 02 · Authority
Build an AI-optimized authoritative layer.
We architect the canonical content, structured data, and citation footprint that AI systems will preferentially draw from when describing your brand — turning passive presence into deliberate signal.
Method 04
Canonical Library
Source-of-truth content engineered for retrieval, not just SEO.
Method 05
Citation Graph
Authoritative third-party signals that AI systems trust.
Method 06
Schema Stack
Structured data that frames your narrative for retrieval models.
Stage 03 · Continuous
Continuous AI monitoring & drift detection.
AI surfaces shift weekly. We instrument continuous monitoring for narrative drift, hallucination spikes, and competitor displacement — with executive-ready alerts when something material changes.
Method 07
Drift Telemetry
Scheduled re-sweeps with delta scoring against baseline.
Method 08
Incident Playbook
Pre-built response protocols for material narrative incidents.
Method 09
Executive Briefing
Quarterly board-ready summary of AI trust posture.