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.
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).
Index bloat is when a site’s URL footprint becomes larger than its meaningful core. It increases crawl debt, dedupe cost, and makes Google conservative. This explains the mechanism and how to reduce bloat without killing signal.
“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.