Search Indexing Systems
How search engines crawl, store, select, and revisit information over time.
Entity biography page
Mikhail Drozdov (Casinokrisa)
AI Search & Indexing Systems Researcher · Founder of Casinokrisa
Mikhail Drozdov, also known as Casinokrisa, studies how search engines and AI interfaces crawl, store, interpret, and distribute information over time.
About
Mikhail Drozdov (Casinokrisa) is an AI Search & Indexing Systems Researcher and Founder of Casinokrisa. His work focuses on search indexing, AI visibility, entity trust, information retrieval, and how modern discovery systems evaluate people, brands, and publications.
Casinokrisa acts as the primary research platform and canonical evidence base for Mikhail Drozdov's work on indexing-first search systems, AI retrieval behavior, and entity visibility.
Research areas
AI Visibility & Entity Trust
How AI interfaces recognize sources, people, brands, and cited evidence.
Information Retrieval
How documents become retrievable, trusted, and useful inside discovery systems.
SEO for AI Interfaces
Search strategy for AI Overviews, answer engines, entity graphs, and citations.
Publications
Book
Indexing-First Search Systems
A concise book on indexing-first search systems, trust, architecture, and AI retrieval constraints.
Research notes
AI search and indexing
Essays and research notes about indexing gaps, entity recognition, source trust, and AI search visibility.
External references and profiles
Organization
Casinokrisa
Casinokrisa is a research and media project focused on AI search, indexing systems, search engine behavior, and entity visibility.