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 49/ 50:

AI SDRs & Outbound

  • AI SDR performance depends on strong data foundations, sharp targeting, and clear, differentiated offers

  • Teams move from pure automation hype to hybrid models where AI covers volume and humans handle trust, context, and negotiation

  • Agentic revenue engines increasingly activate AI SDRs on live buying signals instead of pushing fixed, generic sequences

  • Leaders frame AI SDRs as force multipliers for already effective sales teams, not cures for weak GTM models

AI GTM Models

  • GTM leaders warn that AI tooling without a clear ICP, positioning, and value narrative creates chaos rather than maturity

  • Effective AI GTM systems map capabilities across the full customer journey, from awareness to expansion, with consistent metrics and ownership

  • Failed AI initiatives in GTM typically trace back to behaviour change, data quality, and domain expertise gaps rather than technology limits

  • 2026 outlooks expect fewer generalists and more strategic orchestrators who design, test, and refine AI enabled GTM engines

AI Tools & Partnerships

  • AI assistants such as Apollo.io and similar tools automate complex outreach while still supporting highly personalised, context rich messaging

  • New assistants, including Gemini style sales coaches and Claude MCP workflows, extend AI from content generation into operating tools and systems directly

  • Moves like Salesforce acquiring Qualified and HubSpot positioning as an AI native GTM platform show CRM becoming the core AI engagement layer

  • Partnerships that integrate CRM, intelligence, and orchestration, including ZoomInfo centric collaborations, aim to wire real time insights directly into front line GTM work

Data & Signals

  • Contributors consistently state that AI outcomes are driven more by data quality and structure than by the specific vendor chosen

  • Outbound leaders describe a shift toward signal-based strategies where intent, timing, and relevance trigger AI engagement

  • Marketing operations trends point to convergence of campaigns, data strategy, AI integration, and process design into one discipline

  • Post mortems on AI GTM projects highlight poor data hygiene and missing domain expertise as the main reasons initiatives stall

Human AI System

  • Practical guidance stresses durable AI skills for founders and marketers, focused on workflows, not one off hacks or prompt tricks

  • Leaders use AI to unlock previously uneconomic work, such as deep research, fine grained personalisation, and scenario testing at scale

  • Evidence that AI written outreach can outperform human messages comes with a clear pattern. relevance, humour, authority, and timing still decide success

  • The emerging Human AI Operating System places human judgment, ethics, and relationship building at the centre of augmented revenue engines

AI Era SEO

  • Conference takeaways show AI reshaping SEO, with visibility in AI generated answers becoming as critical as traditional search rankings

  • Brand and content strategies increasingly consider how language models ingest, interpret, and surface corporate narratives across channels

  • 2026 SEO outlooks prioritise model ready content, strong brand signals, and trust indicators as key levers for discoverability

  • Agentic marketing concepts link this shift to always on systems that orchestrate presence across search, assistants, and owned touchpoints

Leader Takeaways

  • Anchor AI investments in a clear GTM strategy and clean data foundations before scaling assistants, agents, or experimental pilots

  • Deploy AI SDRs and outbound systems to scale proven plays while keeping human control over negotiation, pricing, and relationship signals

  • Build integrated, signal driven marketing operations where experimentation, analytics, and AI are managed as one operating system

  • Prioritise platforms and partnerships that connect AI directly into daily GTM workflows and invest in leadership skills to supervise and improve these systems over time

Want to see the posts voices behind this summary?

This week’s roundup (CW 49/ 50) brings you the AI in B2B Marketing:

→ 63 handpicked posts that cut through the noise

→ 37 fresh voices worth following

→ 1 deep dive you don’t want to miss

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