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10 parts · 43 chapters

Contents of “SEO 2026: Search in the AI Era”

From how a search engine sees the web to the agentic web: the full structure of the book, with chapter titles translated from the Ukrainian original.

I

Part I

SEARCH IN 2026

  1. 01Search no longer equals the SERP
  2. 02AI Overviews, AI Mode and LLM search: one task, different interfaces
  3. 03Zero-click search and the new economics of the organic click
  4. 04Visibility without the click: what SEO should measure now
II

Part II

HOW A SEARCH ENGINE SEES THE WEB

  1. 05URL discovery: how a search engine learns a page exists
  2. 06Crawling: queues, frequency, resources and priorities
  3. 07Rendering: JavaScript, the DOM and what Google actually sees
  4. 08Canonicalization: duplicates, clusters and choosing the canonical version
  5. 09Indexing: why crawling does not guarantee indexing
  6. 10Retrieval, ranking and serving: what happens after the index
III

Part III

BUILDING AN SEO SYSTEM

  1. 11Information architecture: turning a site into a coherent graph
  2. 12Demand and keyword research: from a list of phrases to a query space
  3. 13Intent, topics and entities: modelling the user’s real need
  4. 14Content SEO: information gain instead of rewriting competitors
  5. 15Internal linking: URL discovery, PageRank and topical relationships
  6. 16Technical SEO as a system, not a checklist
  7. 17International SEO: hreflang, countries, languages and conflicting signals
IV

Part IV

AUTHORITY AND COMPETITION

  1. 18PageRank and the link graph without the myths
  2. 19Backlinks: evaluation, acquisition, anchors and risk
  3. 20Brand and entities: how a brand becomes a search asset
  4. 21Affiliate SEO: commercial SERPs, money pages and the risk of thin affiliation
V

Part V

AI SEARCH

  1. 22RAG, query fan-out and grounding: the mechanics of generative search
  2. 23Citation: how a page becomes a source for an AI answer
  3. 24GEO, AEO and LLMO: what is genuinely new and what has just been renamed
  4. 25Content that AI cannot make interchangeable
  5. 26Measuring AI visibility: citations, mentions, cited URLs and traffic
VI

Part VI

SCALE

  1. 27Page generation at scale: when programmatic SEO makes sense
  2. 28Large sites: crawling, indexing, templates and pruning
  3. 29Multi-domain SEO: site portfolios, geo-targeting and operational control
  4. 30SEO automation: from Excel to APIs, Python, SQL and BigQuery
  5. 31AI for SEO operations: where it saves time and where it creates errors
VII

Part VII

MEASUREMENT

  1. 32Google Search Console: what it shows, what it hides and how not to fool yourself with the data
  2. 33Server logs: real crawler behaviour instead of assumptions
  3. 34GA4, conversions and organic traffic attribution
  4. 35SEO experimentation: causality, controls and statistical traps
  5. 36Forecasting: estimating traffic, outcomes and resources without magic
VIII

Part VIII

RISK

  1. 37Spam-fighting systems, updates and manual actions
  2. 38Expired domains, PBNs, paid links, parasite SEO and redirects
  3. 39Recovery: diagnosing a drop and getting the system working again
IX

Part IX

THE SEO TEAM IN 2026

  1. 40Roadmap, prioritisation and budget: managing SEO as a product
  2. 41Team, KPIs and reporting: what a Lead and a Head of SEO should control
X

Part X

THE AGENTIC WEB

  1. 42AI agents, machine-readable business and transactions without the classic SERP
  2. 43The role of SEO after classic search: what remains when the interface changes again

All 43 chapters are in the free Ukrainian digital edition. The English edition is in preparation.

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