Work with Andrew
If your pipeline has gone quiet and you are not sure why, or if you suspect that AI systems are shaping your market's buying decisions in ways you cannot yet see, Andrew can help you understand what is changing and what to do about it. His advisory work is grounded in executive operating experience and hands-on work building in the AI visibility space through CiteCompass.
AI Visibility and Discovery Advisory
AI is reshaping how businesses are found. Answer engines, AI assistants, and recommendation systems are becoming the first point of discovery for your potential customer. If your business is not visible to these systems, you risk being excluded before a human buyer is ever involved.
Andrew works with leaders to assess their current AI visibility position, identify gaps in content and evidence structure, and develop strategies to become more discoverable, citable, and trusted in AI-mediated markets.
Focus areas:
- AI-mediated discovery and answer-engine visibility
- Trust signals and machine-readable positioning
- Content and evidence gaps affecting AI citations
- Recommendation and shortlist formation
Agentic Commerce Strategy
AI agents are beginning to reshape how products and services are discovered, compared, shortlisted, and purchased. This shift affects merchant visibility, category dynamics, and the entire buying journey. Understanding it early is a competitive advantage.
Andrew advises leaders on where agentic commerce is heading, what it means for their business, and how to position for a world where AI increasingly mediates the path from discovery to purchase.
Focus areas:
- How AI agents may change comparison and shortlisting
- Merchant visibility in agent-mediated markets
- B2B and B2C differences in agentic commerce adoption
- Trust, explainability, and reversibility in AI-shaped buying
Commercial and Technical Readiness
Being visible in AI-mediated markets requires more than good content. It requires structured signals, clean metadata, clear taxonomy, and an operating model that supports machine-readable differentiation. Most organisations have gaps they have not yet identified.
Andrew guides leadership teams through readiness assessments for AI-shaped discovery and buying, identifying the most important changes and prioritising what to address first.
Focus areas:
- Content structure and metadata readiness
- Taxonomy and machine-readable differentiation
- Trust signals and explainability
- GTM and operating-model implications
How Andrew works
Engagements are tailored to what each organisation needs. Common formats include:
- Executive advisory: ongoing strategic guidance on AI visibility and agentic commerce
- Strategy workshops: facilitated sessions for leadership teams exploring what AI-mediated discovery means for their business
- Readiness assessments: structured reviews of content, metadata, taxonomy, and operating-model readiness
- Leadership briefings: focused presentations on AI visibility trends and agentic commerce developments
- Speaking and keynotes: conference and event presentations on AI-mediated discovery and AI-shaped buying
- Fractional strategic support: embedded advisory over a defined period
CiteCompass
Andrew is also Director of CiteCompass, building tools that enable organisations to measure and improve their visibility in AI-driven discovery. CiteCompass tracks how AI systems cite and recommend brands, and provides the data and insight needed to improve AI visibility over time.
This means Andrew advises from the perspective of someone who is building in the space, not just observing it.