The Modern SEO & AI Search Roadmap
If you are new to search optimization in the era of Large Language Models, starting with outdated 2018 keyword advice will actively harm your performance. This roadmap breaks down search from first principles of Information Retrieval (IR).
Search Engine Foundations: Crawl, Render & Index
Before any page can rank or be cited by an AI engine, it must be discovered and parsed. Learn how web crawlers (Googlebot, GPTBot, PerplexityBot) interact with server responses, HTTP status codes, and the Critical Rendering Path.
Semantic SEO & Entity Architecture
Search engines no longer match strings; they match things (entities). Discover Koray Tuğberk GÜBÜR's topical authority framework, how to construct exhaustive Topical Maps, and how to ground pages in the Google Knowledge Graph via Schema.org.
Information Retrieval & Modern Ranking Pipelines
Understand the algorithmic transition from classical lexical scoring (BM25) to multi-stage dense vector retrieval, bi-encoders, and cross-encoder rerankers used in Google core systems and patent architectures.
Generative Engine Optimization (GEO) & AEO
The frontier of search: How to structure content so that autonomous AI agents (Perplexity, SearchGPT, Claude, Gemini AI Overviews) quote and cite your domain as their authoritative source.
SEO Engineering & Automation
Scale your intelligence. Learn how to write Python automation pipelines, interface with Google Search Console and Keyword Planner APIs, deploy MCP servers, and use Claude Code for forensic site audits.