Machine learning belongs in your SEO toolkit — not as a buzzword, and not as “just use ChatGPT,” but as a set of techniques you can actually run. Introduction to Machine Learning for SEOs shows you where ML genuinely helps your day-to-day work, which method fits which job, and precisely how to do it yourself. If you can follow a recipe, you can do this.

235

pages

modules

chapters

30+

resources included

What you’ll master

Five core techniques, each walked through end to end — concept → steps → code or formula → what the output means → how to act on it.

Classification — sort content and classify search intent with the Google NLP API.
Clustering — group keywords and model topics with KeyBERT, LDA and BERTopic — plus image clustering and customer segmentation.
Entity extraction & analysis — build topical authority, do semantic keyword research, and power entity-driven internal linking.
Fuzzy matching — map 404s and redirects and run competitor content-gap analysis — the fastest wins in the book.
Content transformation — turn one asset into blog posts, social, newsletters and shorts with GPT, MCPs and agentic workflows.

✦ Included with your book

Every resource featured inside — 30+ ready-to-use Google Colab notebooks, no-code Google Sheets tools, Looker Studio dashboards, checklists and reference guides — comes with your purchase. You’ll be enrolled in a companion Resource Library in your MLforSEO Academy account with direct links to all of them, so nothing sits behind a paywall for you.

What’s inside

8 modules · 36 chapters · 235 pages, each ending with clear takeaways and a hands-on exercise with a worked example.
Real, end-to-end walkthroughs — with code snippets, no-code alternatives and screenshots of genuine tool output.
A recurring focus on choosing the right technique and understanding what each method actually measures — so you never misuse (or over-trust) it.
Warm, plain-English writing you can read on the sofa and still act on come Monday morning.

Who it’s for

SEOs, content marketers and digital marketers who want to move beyond generic AI tips and actually use machine learning — whether you’ve never written a line of Python or you’re already comfortable in a notebook and want a clear map of what’s worth doing.

About the author

Lazarina Stoy

Marketing & Machine Learning Consultant, Trainer & Speaker · Founder of MLforSEO

With 10+ years across SEO, data and marketing automation, Lazarina has helped enterprise teams — including AWS, Skyscanner, Compass and Extreme Networks — apply machine learning to organic search at scale. She is a regular conference speaker and webinar guest, and her work has appeared in Search Engine Land and Moz. Through MLforSEO she has built an extensive library of courses, notebooks, Looker Studio templates and no-code tools — all with one goal: making machine learning approachable, practical and genuinely useful for marketers.

Read Lazarina’s full bio →

E-books

Introduction to Machine Learning for SEOs — E-Book by Lazarina Stoy