Atlas ⌖ GTM · 04 regions
GTM Engineering
for Revenue Teams
I built this site around four surfaces and two classes of agents because that's how I actually work, and because most "agentic GTM" content blurs the distinction in a way that makes it useless to evaluate.
The four surfaces — inbound, outbound, paid, email — are where revenue actually meets a buyer. Internal AI agents help account executives, SDRs, BDRs, and ops do the work; go-to-market AI agents run a surface directly with a human supervising the loop. The two are built differently and break differently — and knowing how is the job.
Regions
4 entriesInbound
Programmatic SEO at scale
Programmatic SEO at scale. AI-first content architecture for citation-led discovery. Crawl-budget and indexability discipline.
Navigate →Outbound
Signal-driven targeting
Signal-driven targeting. AI-augmented account + contact research. Deliverability infrastructure that does not burn the domain.
Navigate →Paid
Intent-data programmatic ads
Intent-data programmatic ads. Conversion tracking under privacy-restricted environments. The LTV math that decides whether paid actually works.
Navigate →Lifecycle automation
Lifecycle automation, drip sequences, trigger-based flows. The architecture that nudges revenue without filling the spam folder.
Navigate →