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 05/ 06:
AI SDRs & Sales
AI SDRs are used as workflow engines that automate outreach and remove repetitive sales tasks
New AI SDR features, such as pinned website conversations, lift on-site engagement and meeting creation
Human sellers remain central for complex deals and nuanced conversations, with AI used for routing and preparation
Over-automation is seen as a brand risk, since high-volume AI outreach can damage trust and relationship quality
GTM & Orchestration
GTM leaders focus on AI workflows that free up time and turn experiments into repeatable operating models
Companies hire specifically for AI-fluent GTM roles, treating orchestration skills as core capabilities
Tool sprawl is criticised, and unified AI architectures are promoted as the next big design challenge
Context engineering is highlighted as more important than basic prompt work, aligning data and workflows with strategy
Data, Search & Visibility
Data quality is treated as the main constraint on AI performance, more important than adding new tools
Marketers worry about AI models relying on unverified public sources, and push for stronger curation and feedback loops
AI search visibility becomes a strategic battleground, with YouTube, freshness and diverse citations shaping discovery
New AI performance reports in search tools signal the start of AI-first visibility and measurement practices
Products, Platforms & Funding
New AI agents and SDR assistants launch with deeper integration into existing sales and marketing workflows
Platforms add strategy-generating features, from multi-month AI GTM plans to playbooks for creators and growth teams
Workspace and browser integrations bring AI directly into daily tools, blending manual research with AI assistance
Funding flows into AI-native marketing and brand visibility platforms, reinforcing the shift toward AI-centric stacks
People, Skills & Culture
Teams show signs of AI fatigue, prompting calls for smaller experiments, quick wins and proof of impact
Commentators stress that AI reveals weak sales fundamentals rather than fixing them, so process and enablement remain key
Human connection, judgment and creativity are repeatedly described as non-negotiable in complex B2B buying journeys
Context-aware and expert-led AI approaches are seen as differentiators that keep models aligned with real business nuance
From Clicks to Intent
Measurement thinking moves from clicks to buyer intent, linking AI activity to real customer outcomes
Brands are urged to pair AI-driven visibility with smooth paths to conversion, especially in AI-assisted commerce journeys
Gaps in AI recommendations expose missing capabilities, triggering demand for structured solution playbooks
Fragmented AI toolsets are challenged in favour of integrated systems that combine orchestration, intelligence and execution
Want to see the posts voices behind this summary?
This week’s roundup (CW 05/ 06) brings you the Best of LinkedIn on AI in B2B Marketing:
→ 61 handpicked posts that cut through the noise
→ 32 fresh voices worth following
→ 1 deep dive you don’t want to miss