How one AI infrastructure startup rebuilt its GTM system
One engagement, seen three ways: a 95% cut in AI operating cost, an attribution layer that traces revenue to source, and a site rebuilt to be cited by AI answer engines. Real numbers where I have them, no vanity metrics.
What the engagement demonstrated
95%
Reduction in AI operating cost, from $10,500 to $467/mo
Owned
A revenue attribution layer that traces revenue to source, in the client's own stack
Cited
A site rebuilt from structurally invisible to machine-readable for AI answer engines
One engagement, three angles
Boutique by design: I take on four to five engagements a year and go deep on each. This is what one looks like end to end, seen through the three problems it solved. Every angle is a system the team now owns and runs without me.
95% cut in AI operating cost
A model-routing architecture that matches the cost of the model to the value of the task, cutting the monthly AI bill from $10,500 to $467.
Read the case study AttributionOutbound built on attribution infrastructure
A full-funnel system that catches every lead and traces every reply and every dollar back to the source that produced it.
Read the case study AI discoverabilityFrom invisible to cited: AEO infrastructure
A fast, well-built site that AI answer engines could not see, rebuilt with the structured signals they read first, so the work started surfacing in AI answers.
Read the case studyClient testimonial
"The system Mathew built replaced 6 disconnected tools with one integrated pipeline. We went from $10,500/month to $467, and our sales team actually uses it."
Want results like these?
It starts with a 30-minute discovery call. I'll ask about your GTM challenges and tell you what I'd do differently.