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 AI in B2B Marketing CW 45/ 46:
Strategy and Operating Model
AI is increasingly framed as the operating system for marketing, sales and company building by 2026, not a set of disconnected tools
One GTM team reported AI agents generating about 7 million dollars in pipeline and 500 thousand dollars in revenue in six months once embedded in day to day workflows
Leaders urged implementing AI only against clear pain points and metrics, highlighting that strong GTM foundations determine whether AI accelerates success or amplifies chaos
A benchmark cited AI mature marketers achieving roughly 60 percent higher revenue growth by combining creator led content, AI Engine Optimization and AI driven prospecting
New GTM AI reports and cheat sheets focused on moving organisations from early experimentation to a second phase of scaled, end to end AI adoption across the revenue engine
Strategy voices warned that efficiency gains from AI are quickly commoditised and called for an abundance mindset that pursues transformation rather than incremental savings
Sales, SDRs and Revenue Execution
Sales teams highlighted the cost and friction of fragmented stacks, arguing for unified systems that cover enrichment, sequencing and CRM to prevent lead leakage and slow pipelines
AI assistants such as Apollo’s AI Assistant and ChatGPT Atlas were used to find prospects, enrich data, personalise emails and send LinkedIn requests, compressing classic SDR workflows into minutes
New AI sales execution platforms launched, including Mixmax with three AI Copilots designed to support end to end sales strategies rather than isolated tasks
AI SDRs remained polarising, with some declaring them ineffective or a scam for qualification, while others showed AI SDR calls that outperformed humans in tone and discovery
Practitioners converged on guidance that AI SDRs are best suited for cost effective follow up and always on outreach, but require close monitoring, ethical controls and human escalation for complex deals
Customer success narratives argued that sustainable revenue now depends on prioritising post sale value and success teams, with AI used to augment these motions rather than replace human relationship building
Marketing, Search and Content
AI search emerged as a strategic priority for CMOs, with repeated calls to make AI search and AI Engine Optimization central to 2026 brand strategies
One practitioner documented achieving top Google rankings for an AI GTM B2B term within 48 hours and shared playbooks and checklists to replicate this performance
Content leaders stressed that AI should amplify, not replace, original thinking, encouraging marketers to create unautomatable content and then use AI for research, drafting and large scale distribution
Brand strategists highlighted the need to balance AI driven scale with relatability and trust, arguing that classic push and pull dynamics still determine long term brand survival
Influencer marketing specialists reported that AI is reshaping their domain, with data that around 80 percent of professionals are already using AI weekly and the United States leading in AI enabled campaigns
Posts also noted macro factors such as a weakening U S dollar creating an opportunity for international companies to access US based AI marketing expertise more cost effectively
Talent, Skills and Culture
Companies began redefining SDR roles into broader GTM Engineer positions, giving frontline sellers responsibility for data, tools and automation rather than narrow activity metrics
Skills most at risk from AI were identified as repetitive, procedural work with limited specialist knowledge, while strategic judgement, creativity and domain expertise rose in relative value
Sales floor employees who actively build AI skills were described as the next generation of GTM AI leaders, with warnings that organisations failing to promote them will lose internal advantages
Law firms provided an early signal of labour model shifts, maintaining marketing headcount overall but hesitating to backfill junior roles as AI absorbs entry level tasks
Culture and belief systems were repeatedly cited as differentiators in a highly data driven world, with leaders emphasising human connection, trust and autonomy as anchors amid automation
Educators and practitioners teaching B2B marketing and AI disruption at business schools reported strong student engagement, reinforcing that AI fluency is becoming a core career capability
Products, Tools, Partnerships and Services
Multiple posts showcased low cost AI stacks where businesses generate substantial revenue while spending only modest amounts on tools such as ChatGPT Atlas and other no code AI platforms
Apollo’s AI Assistant featured prominently as a practical workhorse for building targeted outbound campaigns in minutes using funding, seniority and tenure filters
A notable M and A move saw lemlist acquire Claap to integrate conversation intelligence into its platform, strengthening AI powered sales engagement and future GTM capabilities
Companies like Triple Whale described integrating AI into B2B expansion playbooks, pairing AI driven insights with enterprise sales processes
Practitioners drew sharp lines between real automation that removes contract and administrative work from sellers and superficial AI features that add complexity without material time savings
New services emerged such as a GTM and AI Hotline offering immediate advice on revenue challenges, signalling demand for just in time expert support on AI decisions
Learning, Playbooks and Community
Comprehensive resources such as the AI Sales Mastery Playbook for 2025 compiled frameworks on research, ICP design, prospecting intelligence, messaging and AI tools into a single reference
Books like IGNITE and the upcoming “Ignite Your GTM with AI” were positioned as blueprints for GTM leaders seeking practical guidance on AI driven operations and transformation
New AI based courses launched to help practitioners learn AI hands on, with creators inviting testers to refine curricula before broader rollout
Conference content at events such as the MarketingProfs B2B Forum demonstrated AI teammates orchestrating workflows, helping marketers understand how orchestrated GPTs can support critical thinking and content production
Community initiatives, including GTM AI Leader Awards, aimed to recognise practitioners who are already transforming pipeline generation with AI, reinforcing positive role models for the market
Live sessions and guides on AI search, trust building, link earning and demand generation showed that best practices are rapidly codifying into repeatable playbooks for B2B teams
Want to see the posts voices behind this summary?
This week’s roundup (CW 45/ 46) brings you the AI in B2B Marketing:
→ 61 handpicked posts that cut through the noise
→ 33 fresh voices worth following
→ 1 deep dive you don’t want to miss