AI search & GEO
Visibility in Google AI Overviews, ChatGPT and Perplexity: AI-crawler access, llms.txt, entity optimisation, answer-ready content and citation analysis.
AI Marketing & Search Lead · Munich, Germany
Luke McLaughlin
GEO and AI search · Technical SEO · AI marketing automation
Luke is a B2B marketing professional with more than ten years in biotech, life sciences and SaaS, specialising in AI search visibility. He builds on a technical SEO foundation — site architecture, structured data, Core Web Vitals and topic clusters — to deliver generative engine optimisation: making brands crawlable, retrievable and cited by AI answer engines.
He builds AI marketing tools, from GEO auditing software to LLM content workflows and local AI agents, and works hands-on in Python, SQL and both cloud and local open-weight models. He holds an MSc in Molecular Biology from Birkbeck, University of London.
Results from his marketing work include €4.1M+ in qualified pipeline, a 49% reduction in customer acquisition cost and 48% organic traffic growth.
Curriculum vitae. Two pages, PDF, updated October 2026.
Focus areas
What Luke works on
Technical SEO
Crawling and indexation, structured data, Core Web Vitals, site architecture, topic clusters and international SEO.
AI marketing operations
LLM content workflows, retrieval-augmented generation, AI agents, brand voice and claims QA, and local open-weight models for private data.
Publications
Books by Luke McLaughlin
All four are free to download.
First edition · August 2026
The AI Search Handbook
A complete, self-contained guide to generative engine optimisation: how AI search retrieves, chunks, evaluates and cites information, and how to become a source an AI answer names.
2026 edition
AI Engineering Essentials
Sixteen chapters from NumPy and data preparation through classical machine learning, neural networks and PyTorch to NLP, embeddings, transformers, RAG and MLOps — every project with runnable code and its exact output.
2026 edition
Technical SEO for Digital Marketing
A hands-on course in fourteen chapters. Each project is a small Python audit tool that crawls, parses and checks a site the way a search engine does — ending with GEO, AEO and an end-to-end technical audit.
2026 illustrated learning edition
From Marketing to Technical Marketing
An illustrated learning path for marketers who want to understand the instructions and build something useful: 52 chapters across ten parts, with a companion pack of runnable exercises and solutions.
Working on AI search or technical SEO?
Luke’s full profile, experience and contact details are on his personal website.