This is how Chad works in practice — London Sono's real audit data, their real questions, and how we moved from discovery to action plan.
Download the raw assets from this engagement — the card images, audit JSON data, and a playbook mapping the conversation to each data point.
Client: London Sono — private ultrasound clinic in central London, specializing in pregnancy scans, diagnostic imaging, and women's health services.
Context: Head of Marketing reached out after noticing competitor dominance in Google's AI Overviews. Initial belief: "We rank top 3 for our keywords." Reality: zero AI citations across 10 test cells.
Outcome: Identified 4 quick-win fixes totaling +23 projected GEO points. Implementation package delivered same day with schema code, llms.txt template, and content attribution guide. Estimated 30-day timeline to move from Poor (56) to Good (79) tier.
Key insight: High content quality (82/100 E-E-A-T) doesn't guarantee AI visibility — technical citability signals matter more than marketing teams expect.
