Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!
If you prefer listening, check out our podcast summarizing the most relevant insights from Go-to-Market CW 48/ 49:
AI in GTM
AI moved from experimentation to governed operations, with structured pilots turning early chaos into durable advantage, as highlighted by James King and peers
Google’s integrated AI stack embedded in everyday tools signals mainstream productivity shifts across GTM workflows
Answer Engine Optimization is rising as investment shifts toward AI-driven discovery, repositioning classic SEO within the mix
AI roleplaying is transforming sales enablement, onboarding, and L&D through a partnership with Yoodli, accelerating skill transfer and feedback loops
Post-sales is being rewired by AI for speed, automation, and clear accountability, reframing expansion and retention motions
Teams are building custom apps and AI agents beneath martech stacks, moving orchestration closer to the operating edge
RevOps and Data
Clean, reliable data remains the growth foundation, with GTM engineers prioritizing systems thinking over tool chasing
A 115-step automated GTM playbook and Slack-triggered workflows underscore orchestration-first execution and repeatability
Hand-off quality is a performance lever, with the 7-second discipline reframing how marketing, sales, and success connect in motion
Strategy for 2026 emphasizes account design, data quality, people, partners, and community as mutually reinforcing pillars
GTM operating systems align strategy, marketing, sales, and success into one cadence, reducing friction and rework
Sales Execution and Enablement
Relevance beats superficial personalization, shifting focus to offers that truly match buying context and jobs-to-be-done
Leadership quality directly shapes pipeline health and win rates, with weak management acting as a silent drag on outcomes
AI-assisted roleplay and coaching tools increase reps’ practice volume and feedback frequency, compressing time to proficiency
Confidence gaps among B2B leaders on growth targets point to the need for stronger enablement and forward signals
Partnerships and Ecosystem
Partner-led growth emerges as a high-leverage path, with ecosystem design treated as a core GTM capability
Ecosystems matter even more in the AI era, concentrating differentiation around integrations, data flows, and go-to-market reach
Collaboration emphasis extends to people and community, positioning partners as force multipliers across demand, product, and success
New Products and Integrations
Native integration enabling seamless LinkedIn and email outreach tightens prospecting loops and unifies channel touchpoints
Everyday AI embedded across productivity suites indicates product direction that meets GTM teams where they already work
Category creation around GTM engineering continues to crystallize platform use cases and supporting features across the stack
Demand Generation and Brand
Teams are shifting from manual lead capture to durable GTM engines that scale signals, experiments, and conversion paths
Community and brand regain importance alongside personal, context-rich interactions that compound over time
Signal-led growth and AI operations set the north star for planning, testing, and resource allocation toward 2026
Positioning and Narrative
Truth over spin defines effective GTM, with evidence, validation, and customer insight replacing slogans as the growth currency
Authenticity pressures shallow lead-gen tropes, pushing teams to craft narratives grounded in real outcomes and user language
Copy craftsmanship remains a leverage point for GTM engineers, elevating clarity, resonance, and conversion
Customer Success and Growth
GTM is an end-to-end process, aligning sales, marketing, product, and success to reduce friction across the lifecycle
Post-sales automation accelerates value realization and expansion readiness, making accountability as important as activation
Founder and operator dialogues reinforce trust-building and human connection as differentiators in AI-powered motions
Hiring and Talent
Demand is rising for GTM engineers who blend systems design, data hygiene, and automation with strong communication skills
Many firms feel pressure to adopt AI without the needed GTM engineering depth, creating execution risk and learning debt
Teams are rebalancing hiring toward roles that build growth systems, not just run campaigns
Want to see the posts voices behind this summary?
This week’s roundup (CW 48/ 49) brings you the Best of LinkedIn on Go-to-Market
→ 61 handpicked posts that cut through the noise
→ 31 fresh voices worth following
→ 1 deep dive you don’t want to miss