Luke McLaughlin
Resume

AI Marketing & Search Lead — CV on request.

Open to roles in AI marketing, generative engine optimisation and technical SEO, in Munich or hybrid/remote. My full two-page CV is shared on request so I know who it is going to.

€4.1M+Qualified pipeline
−49%Acquisition cost
+36%Lifetime value
6Books published

At a glance

  • SEO & Digital Marketing Manager, Biotech (2021 – 2026)
  • Author of The AI Search Handbook and five further books
  • MSc Molecular Biology, Birkbeck, University of London
  • English (native), German (B2)
Request my CV

Tell me about the opportunity

Your details go straight to me. I reply personally and send the PDF if it’s a good fit.

Experience

Career summary

Feb 2021 – Aug 2026Munich, Germany

SEO & Digital Marketing Manager

Biotech
  • Generated €4.1M+ in qualified pipeline and 118% net customer growth; closed three six-figure deals, including a top-10 European biotech and a leading CRO in synthetic biology.
  • Introduced AEO/GEO workflows — answer-first content, structured data and AI-crawler access — to build brand visibility in AI search.
  • Reduced customer acquisition cost 49% and increased lifetime value 36% through technical SEO, Core Web Vitals, internal linking and topic clusters.
  • Built Python and LLM automation for keyword research, content production and reporting.
  • Built GA4, Looker Studio and Search Console dashboards for organic performance, CAC, LTV and attribution, and scaled programmes across 8 international markets.
  • Managed €80K+ in paid media across Google and LinkedIn at a 67% lower cost per acquisition.
2019 – 2021Remote

Technical Writer & Content Strategist

Clora Inc.
  • Built SEO content programmes and conversion journeys for B2B SaaS, delivering 48% organic traffic growth and 26% more marketing qualified leads in 12 months.
  • Created onboarding and enablement content that drove 18% faster product adoption.
2018 – 2019Remote

SEO & Content Manager

Labiotech.eu
  • Led SEO and editorial operations for Europe’s leading biotech news platform, increasing organic traffic 42% and session duration 28% in six months.
  • Built topic clusters and pillar pages that improved average rankings by 3.2 positions across 100+ articles and doubled content output.
Skills

Core competencies

AI search & GEO

Generative and answer engine optimisation (GEO/AEO); visibility in Google AI Overviews, ChatGPT and Perplexity; AI-crawler access and robots policy; llms.txt; entity optimisation; answer-ready content; citation analysis.

Technical SEO

Crawling and indexation; structured data and JSON-LD; Core Web Vitals; site architecture and internal linking; topic clusters and pillar pages; international and hreflang SEO; on-page and off-page SEO.

AI marketing operations

LLM content workflows; RAG and grounded content; AI agents for marketing ops; prompt engineering; brand voice and claims QA; AI ad creative; persona and message testing; content repurposing.

Local & open-source AI

Local LLM deployment with Ollama; open-weight models (Qwen, Kimi, DeepSeek); agentic coding harnesses (Claude Code, OpenCode); private, on-device AI workflows; model evaluation across cloud and local models.

Performance & lifecycle

Google Ads; LinkedIn Ads; demand and lead generation; CRO and A/B testing; email and lifecycle automation; CRM.

Analytics

GA4; Search Console; Looker Studio; Power BI; Tableau; Ahrefs; Semrush; Screaming Frog; attribution modelling; SQL; applied statistics.

Build & tooling

Python; JavaScript/Node.js; Swift; Git; Docker; REST APIs; OpenAI, Anthropic, Gemini, Qwen, Kimi and DeepSeek models; HubSpot; ActiveCampaign; WordPress; Zapier.

Publications

Books

Free PDF · 391 pages · 62 chapters

The AI Search Handbook

A complete guide to generative engine optimisation: how AI search retrieves, chunks, evaluates and cites information, and how to become a source an AI answer names.

Download free ↗
Free PDF · 854 pages · 16 chapters

AI Engineering Essentials

A guided AI engineering course from NumPy and classical machine learning to PyTorch, NLP, transformers, RAG and MLOps, with executed practice projects.

Download free ↗
Free PDF · 578 pages · 64 chapters

Math & Logic Essentials

The groundwork for understanding programming: arithmetic, logic, algebra, trigonometry, geometry, calculus and number bases, with worked examples, mental arithmetic shortcuts, common mistakes and a quiz in every chapter.

Download free ↗
Free PDF · 698 pages · 73 chapters

Math & Logic Essentials for Programming

The same maths and logic foundation with every idea bridged to Python: each chapter ends with a “From Concept to Code” section, and a final part teaches Python from the REPL to small programs.

Download free ↗