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 illustrated learning edition · by Luke McLaughlin
From Marketing to Technical Marketing
A complete beginner’s path to Python, SQL, JavaScript, automation, measurement and SEO
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.
- Pages
- 874
- Chapters
- 52
- JavaScript lessons
- 18
- Companion files
- 1,328
Free download. No payment, no sign-up. Marketers starting from zero who want technical skills they can use at work.
About this book
What it covers
From Marketing to Technical Marketing starts from zero: files and folders, reading a table, checking a marketing calculation. From there it builds to Python, SQL, how websites work, JavaScript, measurement, automation and working with AI systems.
Every part ends in a deliverable a marketing team would recognise — a checked campaign report, an analysis someone can trust, an automation that survives repeat runs. The companion pack contains the code, data, practice solutions and projects used throughout the book.
What you will be able to do
- Write, save and run your first Python instructions
- Ask a database questions with SQL, without counting twice
- How websites work, and JavaScript to a working service
- Measurement, tracking and repeatable automation
- Digital marketing and SEO with technical depth
- Working with AI systems and delivering professional work
Contents
Ten parts
- Part IStarting from zero
- Part IIPython for marketing work
- Part IIIAsking questions with SQL
- Part IVHow websites work
- Part VJavaScript: from first instructions to a working service
- Part VIFrom instructions to working programs
- Part VIIDigital marketing and SEO
- Part VIIIMeasurement and automation
- Part IXWorking with AI systems
- Part XDelivering professional work
Written by
Luke McLaughlin
Luke is an AI marketing and search specialist with more than ten years in B2B marketing across biotech, life sciences and SaaS. His work sits where technical SEO meets generative engine optimisation: making brands crawlable, retrievable and cited by AI answer engines.
He holds an MSc in Molecular Biology, works hands-on in Python, SQL and both cloud and local open-weight language models, and writes these books so that marketers can do the same.
Also free
More books by Luke McLaughlin
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.