How AI Discovery Infrastructure Works
As an AI-first, tech-enabled marketing firm, we connect infrastructure, content and growth strategy so AI discovery becomes a lever for your pipeline, not a mystery.
We turn scattered AI behavior into a structured visibility system.
Signal → Align → Illuminate → Sustain
Step 1: Signal
See What AI Thinks You Are
We start by reading the AI responses and patterns that define your current visibility.
Phasewheel runs discovery tests across major AI assistants and answer engines to learn:
How often your brand appears
What facts, claims, and narratives AI repeats
Which competitors are favored in recommendation moments
Output:
AI Discovery Baseline report
Risk and opportunity map for your brand
Step 2: Align
Build the Dual-Layer Architecture
Your current site serves humans. AI needs a second, structured layer that “speaks its language.”
Phasewheel designs and implements:
A human layer: clear messaging and UX that support your story
A machine layer: structured, intent-driven information that models can interpret and reuse with confidence
Together, those layers become your AI-native visibility infrastructure.
Step 3: Illuminate
Grow your Presence in AI answers
With Infrastructure in place, we focus on answer presence and narrative control.
We:
Engineer answer blocks and structured content AI can lift directly
Close gaps where competitors dominate the conversation
Shape how models explain your offers, pricing, and strengths
Output:
Broader brand presence across key questions and use cases
More appearances where decisions happen
Step 4: Sustain
Sustain Your Visibility As AI moves
AI systems change quickly. Your visibility should not swing with every update.
Our ongoing AI Discovery Rhythm includes:
Weekly reviews of AI sources and behavior
Monthly show forward insight, recommendations and content strategy
Continuous testing as new models launch
You get a steady cadence from our Team: what changed, why it matters, and what we are doing next.
From Baseline to Ongoing Infrastructure Partner.
Our Approach in Three Steps
1. AI Discovery Baseline
- One-time engagement
- Full visibility diagnostic and risk map
- Ideal starting point for leadership alignment
2. AI Discovery Foundation
- Architecture design and implementation
- Dual-layer build and answer-ready content
- Clear handoff into ongoing rhythm of adaptive content creation
3. AI Discovery Rhythm with our Our Team
- Retainer model
- Weekly intelligence review, monthly optimization, continuous AI model testing
- Designed for brands treating AI visibility as a core pillar growth opportunity