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 · by Luke McLaughlin
Technical SEO for Digital Marketing
A guided technical-SEO course with executed audit tools
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.
- Pages
- 2,100
- Chapters
- 14
- Format
- Audit tools
- Python
Free download. No payment, no sign-up. SEO specialists and marketers who want to audit sites with evidence, not plugins.
About this book
What it covers
Technical SEO for Digital Marketing turns technical SEO into a guided, hands-on course with concept lessons, worked traces, visual models, checkpoints, quizzes and executed practice projects.
Every project is a small, deterministic Python tool that runs against a worked example — a robots.txt string, a sitemap, an HTML snippet, a redirect chain, a JSON-LD block — prints a verdict and shows you the exact output. In production you point the same logic at a live URL.
What you will be able to do
- How search engines crawl, render and index
- robots.txt, XML sitemaps, status codes and redirects
- On-page signals, canonicalisation and duplicate content
- Core Web Vitals and structured data
- International, local and off-page SEO
- Log-file analysis, GEO, AEO and a full technical audit
Contents
Fourteen chapters
- Ch. 1How Search Engines Work
- Ch. 2robots.txt and Crawl Directives
- Ch. 3XML Sitemaps and URL Discovery
- Ch. 4HTTP Status Codes and Redirects
- Ch. 5On-Page Signals and the HTML Audit
- Ch. 6Keyword Research and Intent as Data
- Ch. 7Canonicalization, Duplicate and Thin Content
- Ch. 8Site Speed and Core Web Vitals
- Ch. 9Structured Data and Rich Results
- Ch. 10International SEO and hreflang
- Ch. 11Off-Page, Links and Authority
- Ch. 12Local and Map SEO
- Ch. 13Log-File and Server Analysis
- Ch. 14GEO, AEO and the End-to-End Technical Audit
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
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AI Engineering Essentials
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2026 illustrated learning edition
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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.