Measure first
Every programme starts from GA4, Search Console and log data, so priorities come from evidence rather than opinion.
About
Evidence-led marketing that search engines and AI can trust
I’m a B2B marketing professional with more than ten years in biotech, life sciences and SaaS, and I specialise in AI search visibility. My foundation is technical SEO — site architecture, structured data, Core Web Vitals and topic clusters — and I now use it to deliver generative engine optimisation: making brands crawlable, retrievable and cited by AI answer engines.
I sit comfortably between marketing and engineering. I can run a crawl, read the rendered page, fix the performance problem, ship the schema, build the Python and LLM automation, and then write the content that earns the citation. That removes the usual hand-off friction between marketing and development teams.
My scientific training (MSc Molecular Biology, Birkbeck; BSc Life Sciences, The Open University) keeps me evidence-driven. It is also why I wrote The AI Search Handbook the way I did: claims tied to evidence, and honest about what the data does not show.
How I work
Principles
Implement, don’t just advise
I write the code, the schema and the content myself where it helps, which shortens the path from finding to fix.
Teach the team
Six free books exist because the skills should outlast any one project. I document what I build so others can run it.
Education
- MSc, Molecular Biology — Birkbeck, University of London (2012)
- BSc, Life Sciences — The Open University (2010)
Languages & certifications
- English (native) · German (intermediate, B2)
- Generative AI with Large Language Models (DeepLearning.AI & AWS)
- IBM Generative AI Engineering · Microsoft Certified: Azure AI Engineer Associate
- Advanced SEO, Technical SEO & AI Search, Semrush · Power BI & Tableau · SQL for Data
Hiring for AI marketing, GEO or technical SEO?
My CV is available on request. Tell me a little about the role and I’ll send it over.