What we are seeing across the GTM landscape. Trends, tactics, and gaps distilled from practitioner data.
A reference architecture is forming across the best GTM teams. It has 5 layers, but most teams only build 2-3. The real insight is what sits between the layers: data caches, agent orchestration, and feedback loops.
The outbound community is optimizing copy, deliverability, and personalization. But when a VP of Sales asks ChatGPT for recommendations before opening their inbox, copy quality becomes secondary to LLM visibility.
LLMs pull answers from structured, question-formatted content. Your FAQ page, if built correctly, becomes the single most important page for AI search visibility. Most companies treat it as an afterthought.
One agency reported $506K in contract value from AI search in 4 months with 7.6x LLM traffic growth. AI search is becoming a real pipeline source. But most teams are treating it as SEO 2.0 instead of a fundamentally different channel.
Every GTM agency is demoing Claude Code + MCPs as their differentiator. But tool consolidation without strategy consolidation just centralizes bad decisions faster. Here is what to do first.