PROPRIETARY FRAMEWORK

The AI Visibility Engine™

A systematic methodology for establishing and maintaining
category leadership in AI-powered discovery

The New Reality of B2B Discovery

The B2B buying journey has fundamentally changed. Today's buyers don't start with Google searches or vendor websites—they begin with questions to AI assistants. ChatGPT, Claude, Perplexity, and other AI tools have become the primary interface between buyers and solutions.

Our AI Visibility Engine™ ensures your brand is not just present in these AI-powered conversations, but positioned as the definitive answer when buyers in your category seek solutions.

87%

of B2B buyers use AI tools
in their research process

3.8x

higher conversion rate when
recommended by AI

62%

of decisions influenced before
first vendor contact

The Six-Phase Framework

Each phase builds systematically toward AI visibility dominance

Discovery & Benchmarking

Establish your current AI visibility baseline and competitive landscape

Visibility Audit

→ Test AI responses across 50+ category queries
→ Map current mention frequency and context
→ Identify recommendation patterns and gaps
→ Document citation sources and trust signals

Competitive Analysis

→ Analyze competitor AI positioning
→ Identify category leaders in AI responses
→ Map competitive citation networks
→ Uncover positioning opportunities

Citation Architecture

Build the foundational network that AI models trust and reference

Source Mapping

→ Identify high-authority citation sources
→ Map LLM training data preferences
→ Analyze citation weight and trust factors
→ Build priority source list

Network Development

→ Create citation pathways
→ Establish presence in key directories
→ Build comparison page strategy
→ Optimize knowledge graph presence

Authority Signaling

Establish domain expertise that AI models recognize and prioritize

Content Authority

→ Develop category-defining content
→ Create comprehensive resource libraries
→ Build technical documentation depth
→ Establish thought leadership presence

Trust Signals

→ Optimize entity recognition
→ Build expertise indicators
→ Strengthen credibility markers
→ Enhance validation signals

Categorical Positioning

Own the category comparisons and consideration sets in AI responses

Category Leadership

→ Define category boundaries and terms
→ Create category frameworks
→ Establish evaluation criteria
→ Shape buying considerations

Comparison Optimization

→ Optimize for versus searches
→ Control alternative narratives
→ Build competitive differentiators
→ Strengthen unique positioning

Functional Content Strategy

Deploy utility-first resources that directly answer buyer questions

Question Mapping

→ Map buyer question patterns
→ Identify information gaps
→ Create answer frameworks
→ Build decision support content

Utility Development

→ Create calculators and tools
→ Develop assessment frameworks
→ Build implementation guides
→ Provide decision templates

Measurement & Optimization

Track, test, and continuously improve your AI visibility

Performance Tracking

→ Monitor AI response patterns
→ Track mention frequency
→ Measure recommendation rates
→ Analyze sentiment and context

Continuous Improvement

→ Test optimization strategies
→ Refine content positioning
→ Adapt to AI model updates
→ Scale successful tactics

Core Principles

Authority Over Volume

AI models prioritize authoritative sources over content volume. We focus on building recognized expertise rather than flooding channels with content.

Context Over Keywords

Unlike traditional SEO, AI visibility depends on contextual relevance and semantic understanding. We optimize for meaning, not just terms.

Networks Over Pages

AI models analyze citation networks and relationships. We build comprehensive presence across trusted sources, not just on owned properties.

Utility Over Promotion

AI favors helpful, functional content over promotional material. We create resources that genuinely serve buyer needs.

Implementation Timeline

Month 1-2

Foundation

Discovery, benchmarking, and citation architecture development

Month 3-4

Authority Building

Content creation, trust signal optimization, and network expansion

Month 5-6

Positioning

Category leadership establishment and comparison optimization

Month 7+

Optimization

Continuous measurement, testing, and improvement

Reserve your place in the next activation cycle

We onboard a handful of B2B teams each quarter. Add your name to the waitlist and we will share the full methodology playbook ahead of launch.

Join the Waitlist

Already invited? Check your inbox for your private onboarding link.