Zornheim, Rhineland-Palatinate, Germany
Most businesses are still optimizing for Google though this is not enough any more. You too? But the rules of discovery have fundamentally changed. ChatGPT, Claude, Perplexity and Google AI Overviews don't rank pages. They retrieve structured knowledge. They decide which products get recommended, compared and surfaced - and which ones simply disappear. The businesses that understand this shift are building for it. The ones that don't are already losing visibility they cannot yet measure. I help your ecommerce business to become retrievable inside AI-driven discovery environments. Not through better copywriting. But through AI-readable product infrastructure: structured data, semantic architecture, JSON-LD schema markup, LLM retrieval optimization and AEO-aligned content systems that make products understandable for machines - not just humans. This is infrastructure work. And the difference matters enormously. Content creates text. Infrastructure makes products retrievable by AI systems - consistently, at scale, across entire catalogs. When Google AI Mode, ChatGPT Shopping or Perplexity pulls recommendations, it is not reading marketing copy. It is parsing structured, semantically coherent data. If your products aren't built that way, they won't be chosen. That is the gap most ecommerce businesses don't see yet. For 40 years I have worked across journalism, media, ecommerce, healthcare, hospitality and digital growth. That background gives me something most AI consultants don't have: decades of understanding how humans make decisions from information - now applied to how machines do the same. What I have built: → 60,000+ product descriptions across ecommerce catalogs in multiple verticals → AI commerce visibility frameworks covering schema validation, LLM retrieval and Google AI Mode → Hospitality marketing systems that measurably increased direct bookings and retention → Healthcare campaigns that raised patient referral and conversion rates → Scalable content systems combining Airtable, Make.com and Claude API for quality-controlled output The businesses I work with are ecommerce operators, brand owners and digital teams who understand that AI is restructuring how products are discovered, compared and recommended - and who want to build the technical foundation before their competitors do. If your product catalog is not structured for AI retrieval, you are already losing ground you cannot see yet. 📩 Send me a message. I will costfree do a first visibility audit of your products and brand.
Patients searching for a clinic abroad often are making a decision that could change their life. They are not buying a product. That is the marketing challenge I solved at Medtrails - and I solved measurably: +40% patient volume within 12 months. Key Achievements: → +40% patient growth in 12 months - driven by precision campaigns across content marketing, social media and paid advertising targeting Western European patients → Built a full patient acquisition funnel - from first awareness touchpoint to confirmed clinic booking, engineered to reduce drop-off at every decision stage → Developed clinic-specific content systems - each campaign tailored to a clinic's medical specialization, capacity and patient profile, not generic healthcare messaging → Established long-term clinic and referral partnerships that created sustainable patient pipelines beyond paid acquisition → Continuous campaign optimization - every message tested, tracked and adapted per target market, language and patient segment What made it work: Trust cannot be claimed. It has to be structured into every piece of content. In medical tourism, a patient reads your content and decides: do I trust this enough to book surgery in another country? That is a higher conversion bar than any ecommerce product. Every data point, every clinic credential, every patient testimonial had to be accurate, verifiable and immediately relevant to that specific patient's situation. That discipline - structured, evidence-based, intent-matched content - is precisely what makes products retrievable in AI systems today. The stakes differ. The content logic is identical.
I founded MediaWork Digital in 1996. Nearly 30 years building content systems that deliver measurable business impact across ecommerce, hospitality, healthcare and television. Achievements: Delivered 60,000 product descriptions and 400,000 edited product visuals for one of Germany's largest sports ecommerce platforms - resulting in a confirmed +10% conversion rate increase. What I built: → AI-readable product infrastructure - JSON-LD schema, semantic architecture and LLM retrieval optimization for ecommerce catalogs, driving direct visibility in Google AI Mode, ChatGPT Shopping and Perplexity → Structured data systems engineered for dual performance: emotionally resonant for human buyers and perfectly parseable for AI-driven discovery and recommendation engines → Database-driven hospitality marketing systems that increased direct bookings and guest retention across hotel and restaurant clients in multiple markets [add % if available] → Automated content pipelines using Airtable, Make.com and Claude API - quality-controlled, scalable output across large catalogs without manual bottlenecks → Broadcast video content for major German TV stations - magazines, talk shows and documentary series [add station names for credibility] → Healthcare and medical tourism campaigns that raised patient referral and conversion rates across international markets [add specific % to maximize impact] Core Principle: Content without measurable impact has no value. Every system connects creative output directly to hard metrics: conversion rate, booking volume, search visibility and AI retrieval frequency.
Built a luxury safari brand from zero in the Masai Mara, Kenya - one of the world's most competitive and visually demanding hospitality markets. After only 9 months of construction, we launched Mara Timbo Camp and drove it to: → 60% occupancy rate → 60% direct bookings - reducing dependency on tour operators and protecting margin → Long-term relationships with international tour operators across Europe, especially in the German and British market What I built to get there: → Full brand identity and positioning for a luxury wilderness product competing against established international camps → High-quality video production showcasing the Great Wildebeest Migration - one of the world's most powerful natural spectacles and the founding visual idea behind the camp → Targeted online marketing campaigns across search, social and travel platforms → Direct booking infrastructure reducing OTA commission dependency by driving guest relationships in-house What this demonstrates: Building occupancy in a remote luxury wilderness camp with no existing brand, no local infrastructure and a highly seasonal product is a systems challenge - not a creative one. The same discipline applies to AI commerce visibility: → No brand recognition at launch - requires structural visibility, not just good content → Highly competitive discovery environment - requires precise positioning and retrieval optimization → Direct channel growth - requires owning the data layer, not depending on intermediaries
RTL2 expected competent. We delivered a 7% market share with a weekly TV magazine nobody had tried before. At Elf99 in Berlin, I built "Die Redaktion" from concept to broadcast — a weekly TV magazine combining bold investigative reports with audience-first storytelling. It exceeded RTL2's expectations and held its audience consistently. [confirmed] Key Achievements: → Created and launched "Die Redaktion" — original weekly TV magazine developed in-house, from format idea to on-air execution → 7% market share on RTL2 — above broadcaster expectations for a new, unproven format in a competitive primetime slot [confirmed] → Full production ownership — responsible for every phase: concept, scripting, shooting, editing and quality control without exception → Built and led the editorial production team delivering consistently under weekly broadcast deadlines without quality compromise → Established a journalistic format standard that raised the bar for RTL2's magazine programming and created a replicable production model What this built in me: Weekly broadcast is a factory where quality cannot slip once. Every episode had to earn its audience again from zero — no accumulating loyalty, no second chances on Monday morning. That pressure created a permanent discipline: structured production systems, clear format logic, consistent output quality, measurable audience result. Each week was a controlled content experiment with a hard public verdict. The same architecture now drives how I build AI-readable ecommerce content. Every product description has to earn its retrieval, every query, every time. The medium changed. The discipline did not. Skills: TV format development · Editorial leadership · Weekly magazine production · RTL2 · Broadcast quality control · Audience-first content strategy · Structured production systems
Keyboards on my knees. Carton-boxes as chairs. Limited budget, no template, no guarantee it would work. I joined ProSieben on day one as Vice Editor-in-Chief. Within 12 months, we had 12% national market share - built from zero, inside a large corporation that gave us almost nothing to start with except a broadcast license and a deadline. What I actually did to get there: → Repositioned the station away from being a feature film platform toward a modern, distinctly branded media identity - a strategic content architecture decision, not an editorial one → Developed format systems around specific audience intent: who watches what, when, and why - and built programming logic that served those intents consistently and predictably → Built repeatable production workflows that let a small team scale content output fast without losing quality or brand coherence under daily broadcast pressure → Led editorial strategy and format development simultaneously, in conditions where every decision had immediate, measurable audience consequences and no room for extended iteration The result that still surprises me: 12% market share in year one was not just a rating. It was proof that structured content architecture - clear brand logic, consistent format intelligence, audience intent mapped to programming decisions - outperforms raw creative output every single time. I have applied that lesson across every market and medium since. Television ratings in 1990. Ecommerce conversion rates in 2010. AI retrieval frequency today. The metric changes. The medium changes. The underlying principle does not: structure and intent beat volume and noise. That is what I learned building ProSieben. That is what I build for clients today. Skills: Editorial leadership · TV format development · Brand architecture · Audience intent strategy · Content production systems · Startup operations