Start Here.
This site is about search visibility as a systems problem: what gets indexed, what gets selected, which entities get trusted, and how Google forms stable representations of people and sources.
Start with the core model, then choose a diagnostic path or the entity layer.
- Site owners trying to understand why indexed pages still do not get traffic.
- SEO teams debugging GSC states, canonicals, and retrieval-layer failures.
- People building a strong person/entity footprint and Knowledge Panel signal.
- Read one core page first.
- Pick one diagnostic entry that matches your exact symptom.
- Then move to person, press, and research if entity trust matters.
Core Reading Path.
These are the pages that define the site's public model. Everything else should support or clarify one of these URLs.
A master hub that connects the full pipeline: discovery -> crawl -> canonicalization -> storage (indexing) -> retrieval -> selection -> surfaces. This is the map for Casinokrisa's indexing and visibility system in 2026.
A practical map of Google Search Console indexing statuses (Coverage): what each status means, the most common root causes (canonicals, duplicates, robots, redirects, soft 404s), and the fastest way to validate fixes.
“Indexed but not ranking” is usually not a technical SEO bug. It’s a selection problem: the system can store your page, but it isn’t confident that showing it is a low-regret outcome. This essay explains the mechanism and the signals that create visibility.
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.
When a Knowledge Panel shows the wrong job title, photo, or bio, the problem is rarely your schema. It is source hierarchy. This guide shows how to identify which sources Google trusts, how to reduce contradictions, and what to change so your canonical person page becomes citable.
Diagnostic Paths.
Choose the narrowest page that matches the exact symptom. This keeps the site legible for both readers and Google.
Indexing is storage. Retrieval is the gate that decides which indexed documents are even considered for a query class. This article explains the mechanism, where teams misdiagnose it as “ranking”, and how to make retrieval decisions more favorable.
Crawling is fetching. Indexing is storage. This entry page explains the difference, why “crawled” doesn’t imply “indexed”, and how to diagnose the gap using GSC statuses and system signals.
Canonicalization is not an HTML tutorial. It is the system’s decision about which URL should represent a content cluster in the index. This explains canonical vs duplicates in 2026, why Google overrides you, and what signals resolve the representative URL.
URL Inspection is not a “fix my page” button. In 2026 it is the clearest window into how search allocates trust: storage vs selection, canonical conflicts, and testing behavior that makes “everything correct” still fail.
If Google shows other sites instead of yours, the system is not “ignoring” you. It is minimizing regret: selecting sources with higher outcome certainty for that query class. This page explains the mechanism, common misconceptions, real scenarios, and how to shift selection without becoming a generic SEO blog.
When Google “ignores” your content, it’s rarely because it didn’t crawl it. It’s usually a system decision: the page has no stable role, low incremental value, or the site lacks topical identity. This explains the mechanism and the fixes that change outcomes.
Entity Layer.
Canonical identity page for Mikhail Drozdov.
Independent references, publications, and media appearances.
Structured profile for Casinokrisa as an organization.
Versioned formal documents and research artifacts.