Atlas ⌖ AI · Vol. II · 03 regions
AI for GTM
Most "AI for GTM" writing mashes these into one story. They're three different problems: AEO is about discovery, agents are about labor, and automation is the infrastructure that sits under both. Each gets its own page below.
Regions
3 entriesAEO
Answer engine optimization
Schema, structure, and content patterns that earn citations in ChatGPT, Claude, Perplexity, and Google AI Overviews — the discovery layer.
Navigate →Agents
Internal + go-to-market AI agents
The two classes (internal helps the team; go-to-market runs the surface), how to design each, where they break in production — the labor layer.
Navigate →Automation
End-to-end workflow automation
Orchestration, validation passes, dedup logic, and the observability that keeps agents honest across data, intelligence, and activation — the infrastructure layer.
Navigate →