We curate most relevant posts about Go-to-Market on LinkedIn and regularly share key takeaways. We at Frenus help ICT & Tech providers identify niche channel partners by compressing the entire journey from identification to a qualified first meeting into just four to five weeks. You can find more info here: https://www.frenus.com/usecases/niche-partner-identification-and-activation-from-unknown-to-first-meeting-in-under-five-weeks In this edition, the modern Go-To-Market (GTM) landscape is shifting away from bloated, fragmented tool stacks toward unified, AI-driven orchestration systems that prioritize context and pipeline outcomes . Instead of merely generating insights, AI is increasingly acting as the central execution layer to automate workflows and connect data across the funnel. This evolution was a major focal point at the recent Demandbase Go London event, which highlighted the launch of Demandbase AI, a "pipeline engine" that translates raw signals into actionable, cross-channel plays and introduced new Model Context Protocol (MCP) integrations that bring deep account intelligence directly into LLMs to better target entire buying groups. However, despite these rapid advancements in automation, industry leaders warn against AI-generated "workslop" and emphasize that AI must act as an amplifier for a disciplined GTM strategy grounded in precise Ideal Customer Profiles (ICPs), documented playbooks, and critical human oversight. This podcast was created via Google Notebook LM.

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