AI-Powered GTM: Engineering Scalable Revenue Systems Beyond Traditional Strategies

We curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways.

This edition collectively discusses various aspects of Go-to-Market (GTM) strategies, particularly emphasising the transformative role of Artificial Intelligence (AI) and GTM Engineering in modern business. Authors highlight the need for speed and iterative approaches over perfect planning, advocating for AI-powered lean revenue engines, automated funnels, and dynamic customer profiles. Several sources champion the emerging GTM Engineer role as crucial for building scalable, integrated revenue systems that leverage AI for tasks ranging from lead generation and enrichment to customer success. Conversely, some caution against merely "sprinkling AI" on old habits, stressing the importance of foundational data hygiene, strategic implementation, and understanding core business mechanics to truly unlock AI's potential and avoid complexity that hinders growth. The discussions also touch upon adapting GTM to buyer-centric content, navigating industry-specific challenges, and fostering cross-functional alignment for sustainable growth in an evolving, AI-driven landscape.

This podcast was created via Google Notebook LM.