Best of LinkedIn: Channel Marketing CW 27/ 28

Best of LinkedIn: AI in B2B Marketing CW 27/ 28

AI Visibility 2026: From Search Rankings to Human-Guided Growth Engines We curate most relevant posts about AI in B2B Marketing on LinkedIn and regularly share key takeaways. We at Frenus support enterprise marketing teams in unlocking the full potential of their customer data with the help of AI. You can find more info here: https://www.frenus.com/usecases/your-crm-is-holding-your-campaigns-back---and-ai-can-finally-fix-it [https://www.frenus.com/usecases/your-crm-is-holding-your-campaigns-back---and-ai-can-finally-fix-it] This edition examine the transition from traditional search engine optimization to AI visibility and generative engine optimization. These texts highlight how brands must now ensure they are cited and recommended by AI assistants like ChatGPT, Claude, and Perplexity to remain discoverable. Modern marketing strategies are shifting toward machine-legible content and structured data to feed these models, while also warning against the risks of generic, AI-generated "slop" that can damage brand reputation. Emerging technologies like AI Sales Development Representatives (SDRs) and autonomous agents are becoming central to growth, provided they are supported by clean data and human strategic judgment. Ultimately, the sources argue that while AI offers unprecedented speed and automation, human creativity and distinctive positioning remain the primary factors for long-term business success. This podcast was created via Google NotebookLM.

Best of LinkedIn: Social Selling CW 27/ 28

The Modern LinkedIn Strategy: Content, Credibility & Conversions We curate most relevant posts about Social Selling on LinkedIn and regularly share key takeaways. This edition outlines the evolving landscape of LinkedIn in 2026, shifting from a simple networking site to a sophisticated revenue engine. Experts emphasize the importance of social selling, suggesting that authentic, human-centered content and strategic commenting significantly outperform traditional cold outreach. Several contributors highlight the rise of employee advocacy, where brands empower staff to act as creators and ambassadors rather than mere distribution channels. The texts also detail algorithmic shifts, noting that the platform now prioritizes niche authority, dwell time, and "saves" over superficial engagement metrics. AI integration is presented as a double-edged sword, capable of automating lead generation while simultaneously devaluing generic, non-human content. Collectively, these insights provide a strategic framework for founders and sales teams to build trust, establish credibility, and drive measurable business growth. This podcast was created via Google NotebookLM.

Best of LinkedIn: Channel Marketing CW 27/ 28

The Future of Channel Ecosystems: AI-Driven Execution, Partner Activation & Marketplace Growth We curate most relevant posts about Channel Marketing on LinkedIn and regularly share key takeaways. This edition provides a comprehensive analysis of the evolving partnership and channel ecosystem landscape as it approaches 2026. The collection highlights a critical shift from traditional, administrative partner management toward AI-driven execution and ecosystem orchestration to secure predictable revenue. Key themes include the necessity of compensation neutrality for sales teams, the importance of partner activation over sheer recruitment volume, and the rise of cloud marketplaces as primary growth engines. Contributors also emphasise that successful strategies now require precise targeting, identifying customer outcomes, and leveraging automated intelligence to reduce operational friction. Ultimately, the texts argue that modern competitive advantages are built through trusted human relationships enhanced by advanced technology and a clear, tiered understanding of professional roles within the sector. This podcast was created via Google NotebookLM.

Best of LinkedIn: MarTech Insights CW 26/ 27

ond the CDP: How Agentic Data Infrastructure Is Redefining Modern Marketing We curate most relevant posts about MarTech Insights on LinkedIn and regularly share key takeaways. We at Frenus supports enterprise marketing teams in unlocking the full potential of their customer data with the help of AI. You can find more info here: https://www.frenus.com/usecases/your-crm-is-holding-your-campaigns-back---and-ai-can-finally-fix-it [https://www.frenus.com/usecases/your-crm-is-holding-your-campaigns-back---and-ai-can-finally-fix-it] The provided sources examine the 2026 marketing technology landscape, focusing on the transition from traditional software stacks to agentic AI operating models. Experts argue that strategic architecture and data governance are now more important than individual tool selection, as fragmented and poor-quality data foundations allow AI to scale errors more rapidly.This edition include the emergence of warehouse-native platforms such as Databricks CustomerLake and the evolution of Marketing Operations into a central control plane for autonomous agents. The sources also highlight the rise of infinity campaigns and the standardisation of PII tokenisation to balance hyper-personalisation with increasingly strict privacy requirements. Future competitive advantage will depend on integrated messaging architectures, governed data environments and human-centric design. Simply adding more AI tools will not deliver sustainable value without a coherent operating model connecting data, technology, workflows and customer experience. This podcast was created via Google NotebookLM.

Best of LinkedIn: Go-to-Market CW 26/ 27

The New GTM Playbook: AI Systems, Trusted Signals, and Scalable Growth 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 [https://www.frenus.com/usecases/niche-partner-identification-and-activation-from-unknown-to-first-meeting-in-under-five-weeks] This edition documents the rapid evolution of GTM Engineering, a discipline where AI agents and automated systems are replacing traditional manual sales and marketing processes. The contributors outline a shift from fragmented tool stacks to integrated AI-native operating systems that manage the entire revenue pipeline, from prospecting to deal closure, without scaling headcount. While technical tools like Claude Code and Clay are central to this transformation, the experts emphasize that clean data foundations and human strategy remain essential prerequisites for success. Strategic insights highlight that while automation drives efficiency, building trust and market relevance through personal branding and direct relationships is becoming the ultimate competitive advantage in an era of infinite AI outreach. Educational resources, such as prompt libraries and GTM directories, are shared to help leaders transition from traditional RevOps to sophisticated AI-native operations. Finally, the collection tracks recent industry movements, including significant acquisitions and the emergence of specialized job roles, signalling that GTM Engineering is now a formalized, high-leverage business function. This podcast was created via Google Notebook LM.