Andrew McPherson
Director, CiteCompass
Professional Background
Andrew McPherson is Director at CiteCompass and an AI Visibility expert specializing in helping B2B companies optimize their content, structured data, and digital presence for citation in generative AI systems including ChatGPT, Google AI Overviews, Perplexity, Claude, and Gemini. He has developed comprehensive frameworks for measuring and improving Citation Authority and Share of Model performance.
With extensive experience in search engine optimization, semantic web technologies, and AI system behavior analysis, Andrew bridges the gap between traditional SEO practices and emerging AI-mediated information retrieval patterns. He focuses on practical, measurable strategies that help B2B companies—from SaaS platforms to professional services firms—increase their visibility in AI-generated responses.
Areas of Expertise
Andrew’s expertise spans the complete spectrum of AI visibility optimization:
- Generative Engine Optimization (GEO) – Optimizing for LLM-powered search engines and generative AI platforms
- Answer Engine Optimization (AEO) – Strategies for conversational AI assistants and answer engines
- Citation Authority Measurement – Quantifying how frequently AI systems cite content as authoritative sources
- Share of Model (SoM) Analysis – Tracking brand mention percentages in AI responses
- RAG Optimization – Structuring content for Retrieval-Augmented Generation systems
- Schema.org Implementation – Structured data markup for AI comprehension
- E-E-A-T for AI Systems – Building Experience, Expertise, Authoritativeness, and Trustworthiness signals
- AI Data Surfaces Strategy – Optimizing crawled web content, structured feeds/APIs, and live site interactions
- Entity Disambiguation – Ensuring accurate brand and author representation across AI systems
- Cross-Surface Consistency – Maintaining synchronized information across all AI access points
Publications
Andrew is the primary author of the CiteCompass Knowledge Hub, a comprehensive resource covering all aspects of AI visibility optimization. His work includes 46 detailed technical articles organized across six core pillars:
Core Frameworks (7 Articles)
- What Is RAG? (Retrieval-Augmented Generation)
- What Is GEO? (Generative Engine Optimization)
- What Is AEO? (Answer Engine Optimization)
- AI Data Surfaces: How AI Systems Access Your Content
- LLM Search Behavior and Citation Patterns
- Zero-Click Search and AI Answers
- AI Browsers and Agents: Surface 3 Optimization
Content Strategy (9 Articles)
- Creating Citation-Worthy Content for AI Systems
- Content Structure for RAG Retrieval
- Comprehensive Topic Coverage Strategies
- Topic Authority and Expertise Signals
- E-E-A-T for AI Systems
- Author Attribution and Credibility for AI Trust Signals
- Content Freshness and Update Strategies
- Multi-Format Content Approaches
- Content Strategy for AI Visibility (Pillar Hub)
E-E-A-T and Trust Signals (7 Articles)
- Organizational Trust Markers
- Third-Party Validation Signals
- Entity Disambiguation for AI Systems
- Verifiable Credentials and Proof Points
- Cross-Surface Trust and Consistency
- Review Schema and Ratings Markup
- E-E-A-T and Trust Signals for AI (Pillar Hub)
Technical Implementation (9 Articles)
- Schema Markup for AI Visibility
- JSON-LD Implementation Best Practices
- Breadcrumb Schema for Content Hierarchy
- Organization Schema Implementation
- API and Structured Data Feeds
- Product and Service Feed Optimization
- llms.txt and robots.txt for AI Crawlers
- Freshness and Consistency Patterns
- Multi-Modal Signals: Images, Video, and PDFs
- Technical Implementation for AI Visibility (Pillar Hub)
Optimization Metrics (6 Articles)
- Citation Authority: Measuring AI Citation Frequency
- Share of Model: Competitive AI Visibility Measurement
- Entity Confidence Score
- Hallucination Detection and Brand Misrepresentation
- AI-Driven Attribution and ROI Measurement
- Query Classification for AI Visibility
- Optimization Metrics for AI Visibility (Pillar Hub)
Market Intelligence (5 Articles)
- Share of Model Benchmarking
- Competitor Citation Monitoring
- Topic Gap Analysis
- AI Platform Tracking
- Misattribution Defense Strategies
- Market Intelligence for AI Visibility (Pillar Hub)
Knowledge Hub Resources
- CiteCompass Knowledge Hub (Global Hub)
- Core Frameworks Pillar (Pillar Hub)
Connect With Andrew
- LinkedIn: linkedin.com/in/andrewmcpherson
- Company: CiteCompass
- Email: [email protected]
About CiteCompass
CiteCompass helps B2B companies optimize their digital presence for AI visibility. Through comprehensive audits, strategic guidance, and performance measurement, CiteCompass enables organizations to increase their Citation Authority and Share of Model across major AI platforms including ChatGPT, Google AI Overviews, Perplexity, Claude, and Gemini.