Mikhail Drozdov (Casinokrisa)
Mikhail Drozdov is an SEO & AI systems strategist and researcher specializing in AI-driven search and indexing systems. He is known online as Casinokrisa and has 10+ years of experience in search engine optimization.
Indexing-first SEO research journal: decision models for how search chooses what to store, trust, and show.
Systems interpreter: building visibility systems that survive algorithm updates and accumulate context over time.
Casinokrisa is an independent research platform focused on indexing-first SEO and AI-driven visibility systems.
The site is written as clusters (pillars + supporting essays). This “reading path” is designed to turn a social click into a clear next step.
For SEO operators: how indexing, interpretation, and AI surfaces changed what "visibility" means.
For marketers: how to build AI workflows with quality gates (systems, not prompts).
For builders: connect positioning, distribution, and measurement into a strategy that compounds.
For teams: build measurement that drives decisions and survives attribution limits.
For creators: understand platform incentives, trust signals, and who gets seen (and why).
Short “get oriented fast” essays. Use these as entry points into clusters.
Digital marketing explained simply: channels, funnels, measurement, and a beginner-friendly plan that avoids buzzwords.
A simple explanation of what a conversion funnel is, how to map it, and how to improve conversion without chasing vanity metrics.
Web analytics explained for beginners: what to track, how events work, and how to avoid the most common reporting mistakes.
If Google crawled your page but did not index it, the bottleneck is rarely “one on-page fix”. This page lists the most common causes (technical gates + prioritization), how to tell them apart fast, and the few actions that reliably change the outcome.
If a page is indexed but not visible in search, the failure is usually not “indexing” — it’s retrieval and selection. This page defines the symptom, shows the fast diagnosis path in GSC, and points you to the right fix depending on whether you have impressions, rankings, or nothing at all.
Google indexing is not “did we submit a sitemap?”. It is a storage decision driven by cost, value, and risk. This article explains the decision logic, the common misconceptions, real-world scenarios, and what changes the system’s willingness to keep your URLs.
Most teams optimize ranking signals while failing indexing signals. This entry page separates what affects storage (indexing) from what affects distribution (visibility), explains common misconceptions, and gives a system-first diagnostic flow.
Entity-based SEO is not schema spam. It is how the system resolves identity: who wrote this, what brand it belongs to, and which topic universe it lives in. This explains the mechanism, common misconceptions, practical signals, and how entity clarity supports indexing and visibility.
Build AI-powered marketing systems. Learn to orchestrate AI tools, automate workflows, and make data-driven decisions.
Master modern SEO: from pages to entities, AI overviews to topic authority. Build visibility that survives algorithm updates.
Connect analytics, strategy, and execution. Build marketing systems that grow through accumulated context, not optimization tactics.
Build data pipelines that connect metrics to decisions. Measure what matters: LTV, ROMI, and systems-level performance.
How platforms shape behavior and business. Platform dynamics, attention economics, and the philosophy of digital environments.