For each engagement: the background, the challenge, exactly what we did, and the measured before-and-after across ChatGPT, Claude, Perplexity, and Google AI. Client names are withheld for privacy. Results are from real engagements.
Six engagements, each with its own page: the baseline, exactly what was done, the measured before-and-after, and what the measurement can and cannot support.
An established HVAC company with steady demand from search and referrals, but no read on how AI assistants represented it when prospective customers asked for a recommendation.
Read the full case →A construction company on a brand-new domain, with no search history and no domain authority — a capable business with real projects, but effectively invisible to the systems customers increasingly ask for recommendations.
Read the full case →A second HVAC business that was already lightly present in AI — around 4% visibility — but carrying a hidden liability beneath that number.
Read the full case →An upholstery service with a healthy AI presence built up over time — until a domain migration and a restructuring of its service lineup changed everything overnight.
Read the full case →A destination restaurant — well known locally and busy on weekends, but reliant on word of mouth and reviews rather than search or AI.
Read the full case →A 24/7 locksmith whose business depended on urgent, high-intent demand — the lockout at midnight, the lost keys before work.
Read the full case →Client names withheld for privacy. Figures are rounded measured estimates, not exact daily rankings. Results vary by market, model, prompt set, and implementation. How this is measured.
Start with a free AI visibility check. We'll show where you stand across the major models today, and the first moves that close the gap.