Episode

Best of LinkedIn: Go-to-Market CW 20/ 21

Podcast
Best of LinkedIn: Strategic B2B Marketing
Published
May 28, 2026
Duration seconds
752
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Canonical source
https://frenus-marketing.podigee.io/180-best-of-linkedin-go-to-market-cw-20-21
Audio
https://audio.podigee-cdn.net/2506971-m-f43b2677722b99e43dd3562237002f57.mp3?source=feed
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/v1/public/podcasts/best-of-linkedin-strategic-b2b-marketing-7370361/episodes/best-of-linkedin-go-to-market-cw-20-21
Markdown
/podcast/best-of-linkedin-strategic-b2b-marketing-7370361/best-of-linkedin-go-to-market-cw-20-21.md

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Summary

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 This edition examine the transformation of Go-To-Market (GTM) strategies in 2026, specifically focusing on the rise of the GTM Engineer and the integration of agentic AI. Industry experts argue that traditional, siloed departments are being replaced by interconnected systems where data, orchestration, and automated agents drive revenue. These sources provide practical frameworks for building AI-native workflows, managing token costs, and moving beyond generic automation to achieve market relevance. There is a significant emphasis on governance and security, with leaders advising that AI agents must be managed with rigorous engineering principles rather than simple prompt adjustments. Additionally, the collection highlights a shift in leadership and recruitment, noting that competitive advantages now stem from infrastructure quality and the ability to align AI investments with core financial metrics. Ultimately, the contributors suggest that successful modern organisations must transition from high-volume outreach to high-context, systemised execution. This podcast was created via Google Notebook LM.