Frenus GmbH

Best of LinkedIn: AI in B2B Marketing CW 05/ 06

Across the last two weeks, B2B practitioners have focused less on flashy AI demos and more on operating models, sales reality and brand control. The conversation moves from tools to systems, from replacement narratives to augmentation and from clicks to intent. The result is an emerging blueprint for AI-native go-to-market that remains firmly human led.

Date

February 13, 2026

Private Equity Insights

Strategy & Consulting

M&A Insights

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!

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If you prefer listening, check out our podcast summarizing the most relevant insights from AI in B2B Marketing CW 05/ 06:

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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

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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

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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

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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

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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

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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