Trust is not a moral score. It is the system’s estimate of regret: how likely a result is to be safe, satisfying, and repeatable. This page explains algorithmic trust as a distribution mechanism and how it connects to indexing, retrieval, and visibility.
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.
A step-by-step map of how Google turns a URL into an indexed document in 2026: discovery, crawling/rendering, canonicalization, storage, and refresh. Written as a system pipeline (not a checklist).
“Indexed but no traffic” is usually not a crawl bug. It’s a distribution problem: the document is stored, but the system isn’t confident selecting it (or even considering it) for query classes. This page explains the mechanism, the common scenarios, and the system-level fixes.
A master hub that connects the full pipeline: discovery → crawl → canonicalization → storage (indexing) → retrieval → selection → surfaces. This is the map for Casinokrisa’s indexing & visibility system in 2026.