SEO & AI systems researcher · Indexing-first search visibility models · Founder of Casinokrisa
This site is a research journal on how search systems crawl, index, interpret, and decide what gets shown. The focus is not “SEO tactics”, but trust distribution: why some sources become default outcomes and others stay stored-but-unused.
Indexing-first models for visibility: storage → retrieval → selection.
Canonical entity pages: /person/mikhail-drozdov · /press · /knowledge-graph.
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.
In 2026, many queries still exist, but the click is gone: AI Overviews and assistants compress answers into the interface. This page gives a practical model: which question types became “compressible”, which still reward original work, and how to write content that earns distribution (not just indexing).
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.
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.