Organic Growth Consulting

I’m a Berlin-based consultant, advisor, and mentor focused on sustainable organic growth, helping organisations reach and serve their audiences through SEO, content marketing, and the AI-driven discovery channels reshaping both.

With a proven track record of building, leading, and supporting high-performing SEO and content teams, I help organisations get clarity on what matters — and the confidence to act on it. That means stronger strategy, better operations, content that genuinely helps the people it’s made for, and the judgement and AI-awareness to adopt new tools and channels with clarity rather than hype.

I work with in-house teams and leadership, venture capital firms, investors, and boards, as well as agencies and consulting firms. My approach adapts to each organisation’s capabilities, needs, and ambitions.

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Where I Come In

Most of the conversations I have start in a similar place. There’s a question of whether organic growth efforts are actually heading in the right direction, and what a clearer picture of good would even look like. SEO work keeps running into the same technical, organisational, and political limitations that slow delivery, block good work, and sometimes stop it from shipping at all. Content gets produced in parallel across SEO, CRM, social, and other demand generation teams, and no one is quite sure how to bring those efforts together. Teams aren’t sure whether they’re delivering as well as they could, or where the real bottlenecks sit. And threaded through all of it: how to use AI in a way that genuinely helps, and how to stay visible as search shifts towards AI-driven answers rather than blue links.

If any of that sounds familiar, that’s usually where I can help.

What I Do

Organic growth today is a wider discipline than it used to be. Search is being reshaped by LLM-based answers, AI Overviews, and agentic discovery. Content has to work harder: earning attention across channels, turning data and insights into genuinely useful assets, and connecting with the rest of marketing rather than sitting in a silo. And AI is changing how teams themselves work day-to-day. I help organisations navigate all of that: staying visible where it matters, producing content people actually value, and building AI-aware teams that adopt new tools and workflows with clarity and confidence.

Engagements typically take one of three shapes: due diligence to understand where you are today, strategy to decide where you should be going, and operational excellence to build the capability to get there. Much of the work happens through workshops and targeted training that surface gaps, align teams on direction, and build lasting capability.

Due Diligence

Gain a clear, unbiased view of organic performance, risks, and opportunities across traditional search, content, and AI-driven discovery. That’s the foundation for confident decisions. A typical review looks at strategy and objectives, technical foundations, content quality, performance data and reporting, readiness for AI-driven discovery, team setup, and how tools and workflows actually hold up under pressure. The result is an honest picture of where things stand, the quick wins and structural improvements worth acting on, and a shared understanding across the team.

Strategy

Set a clear direction for organic growth: what to prioritise, where to play, and how SEO, content, and AI-driven discovery come together to serve real audiences. Strategy engagements shape the content and editorial direction, position organic efforts for AI-driven discovery, and integrate them with the wider marketing mix rather than leaving them in a silo. They also decide where AI belongs — as a channel, a production accelerator, or both. Trade-offs and priorities get translated into a roadmap teams can actually execute against.

Operational Excellence

Build a function with the processes, capabilities, and judgement to deliver on the strategy consistently — and the confidence to adopt AI where it genuinely helps. That covers planning and execution against clear objectives, measurable OKRs, reliable reporting across traditional and AI-driven channels, and stronger communication with leadership and stakeholders. It also means hands-on training and up-skilling, integrating AI into research and day-to-day workflows without sacrificing quality or judgement, and strengthening team structures for sustainable delivery.

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