Evidence you can inspect. Context you can question.
Most engagements are confidential. We show the supporting artifacts we are permitted to share, label their limitations, and avoid presenting one client’s outcome as a forecast for another.
Categories represented in the available work.
AI SaaS
Hospitality Tech
Enterprise Services
PropTech
Fintech
HealthTech
Engagement snapshots.
Available scope, time window and reported outcome—plus the evidence limitation that should travel with each number.
Global AI Voice Agents — Lead Engine Build
Built the organic discovery and lead-generation foundation for an AI voice-agent startup competing in a crowded global category. The engagement combined architecture, content and measurement work over four months.
Evidence level: anonymized third-party visibility snapshot and engagement reporting. Client identity and first-party CRM records are not public.
Hotel Management Platform — Organic Revival
Reworked the content architecture and organic-discovery system for an established German hospitality platform seeking to reduce dependence on paid acquisition.
Evidence level: anonymized visibility snapshot and client-reported lead progression. Channel mix and CRM records are not available publicly.
Early-Stage B2B SaaS — AI Visibility Baseline
Established a monitored baseline across AI answers, citations and organic discovery so the team could see where competitors were winning and which gaps to address first.
Evidence level: anonymized third-party snapshot. The values show the monitored baseline, not causal lift from a single intervention.
Anonymized supporting snapshots.
These images are retained as supporting evidence from client work. Several values are third-party estimates or visibility indicators rather than first-party revenue attribution.
Bring your baseline. Leave with a clearer decision.
Share the category, current visibility and available measurement. We will tell you what can be assessed, what remains uncertain and whether the engagement is a fit.
Request a fit conversation