This is not a book about “what SEO is”.
In 2026, SEO does not end with a URL’s position in Google. Search now has several layers: URL discovery, crawling, rendering, canonicalization, indexing, retrieval for a query, ranking, the generated answer, citation — and only then a click or an action. If you only look at rankings, part of the system simply disappears from view.
This book explains the whole chain from URL to business outcome. No magic, no “secret ranking factors”, and no attempt to sell a new label in place of SEO. AI Overviews, AI Mode, ChatGPT, Bing/Copilot, GEO, AEO and LLMO are treated not as a separate universe but as new ways of retrieving information that partly rely on the same fundamentals: document accessibility, relevance, authority, site structure, links, entities and data quality.
The book’s core model is simple: understand the system, look at the data, form a hypothesis, test it, measure the result — and only then scale. That is why it is full of concrete URLs, research methodologies, API queries, regular expressions, tables, logs, diagrams, Search Console examples and technical teardowns. Theory appears only where it helps make a decision on a real site.
It is written from the perspective of a practising SEO who works with competitive niches, affiliate projects, technical constraints, content, links, migrations and scale. It does not try to make a complex system simple. It tries to make it understandable.
What you will get from it
Not a set of checklists along the lines of “check the title, canonical and sitemap”, but a way of thinking that lets you diagnose a site even when Google’s interface changes again. You will understand exactly where a URL gets lost in the search pipeline, how to tell an indexing problem from a retrieval problem, how to read GSC without drawing false conclusions, how to assess AI visibility, how to build information architecture, how to work with large sites and how not to confuse correlation with causation.
Who this book is for
Written for people who no longer need canonical tags explained.
The core reader is a mid-level or senior SEO, an SEO Lead or a Head of SEO: someone who already works in Search Console, knows why robots.txt and sitemaps exist, understands the basics of link building and keyword research, and wants to move from executing tasks to understanding the system.
It is also for technical SEOs, SEO product managers, affiliate SEOs, in-house and agency teams, and anyone responsible for large content sites, e-commerce, marketplaces, SaaS or international sites. It is most useful where SEO has stopped being a set of pages and become a system of thousands or millions of URLs, several markets, templates, teams and dependencies.
This is not the best first book on SEO. I deliberately do not spend half a page explaining what a title tag is, why HTTPS matters or that a backlink comes from another site. Basics are explained only when the mechanics cannot be understood without them. If you already work in SEO and keep asking “why did Google pick the wrong canonical?”, “why was this page crawled but not indexed?”, “why are rankings stable while clicks drop?”, or “why is a competitor cited in AI answers and we are not?” — this book is written for that level.
Who it is not for
If you want a list of a hundred “ranking factors”, a universal keyword-density formula or a promise to get any site to the top in 30 days, you will not find it here. Complex systems almost never have a single cause, and strong SEO is defined not by the number of checklists but by the quality of diagnosis.
From the author
Why I wrote this book
I started doing SEO in 2008. Since then SERPs, algorithms, tools, link-building methods, content formats and even what we consider search have all changed. But one problem has stayed constant: the industry loves simple explanations of complex systems.
Once it was “200 ranking factors”, then LSI, TF-IDF, E-E-A-T as a formula, Core Web Vitals as a universal key to the top. Now the list includes GEO, LLMO, content specially adapted for AI, llms.txt and dozens of new rules that often appear before any data that could confirm them.
I do not think AI has changed nothing. It has changed a great deal. One query can turn into a series of sub-queries. The user can get an answer before the click. A site can be used as a source without holding a familiar position in the classic SERP. Part of informational demand is now served by a generative interface. Measuring visibility has become harder.
But it does not follow that SEO has started from scratch. A page still has to be discovered. It still has to be fetched over HTTP, rendered, correctly canonicalized and indexed. The system still has to understand what the document is about, match it to an information need, evaluate the source and decide whether to show it or use it in an answer. That is why the foundation of this book is not a set of AI hacks but the full path information takes through a search engine.
The second motive is simpler. I was missing a Ukrainian book on SEO that you open not for motivation or basic definitions, but in the middle of work. When you need to untangle a cluster of canonical URLs. When half a template drops out of the index after a migration. When GSC shows stable rankings and fewer clicks. When the team wants to generate 200,000 pages and asks whether it is enough to simply open them to Googlebot.
So this book is deliberately technical. It contains SQL, regex, APIs, server logs, data models, formulas, diagrams, examples of mistakes and fixes. But being technical is not the goal in itself. Every chapter should answer one question: what practical advantage will a strong SEO gain from these pages?
I also do not want to pretend that the market consists only of safe practices that follow search engine guidelines. Affiliate, expired domains, paid links, PBNs, redirects, parasite SEO and other tactics exist. They need to be understood as well as Google’s official guidance. But understanding the mechanics does not mean hiding the risk. Where a practice conflicts with spam policies, the book says so plainly.
The most important rule of this book: do not take even this book at its word. Open the source. Check the date. Test your own data. Separate fact from assumption. SEO is complex enough without adding made-up rules to it.