How Google crawls, indexes, and processes large websites
Introduction Content volume does not break crawling. It breaks predictability. Up to a certain scale, large sites behave in a mostly deterministic way. URLs are discovered, revisited, reprocessed, and reinforced along repeatable paths. Once volume crosses a threshold, that determinism…
Introduction Indexation latency is rarely about time. It’s about priority. On large sites, updates take weeks to appear in search results not because Google is slow, but because the system no longer sees those URLs as worth returning to quickly.…
Introduction URL depth is still treated as if it were a control knob. Make pages “shallower” and crawlers will visit them more often. In real systems, that logic collapses quickly. Across large content sites, I repeatedly see URLs six or…
Introduction Most crawl traps are not caused by mistakes. They are caused by systems behaving exactly as designed. Pagination improves usability. Facets improve findability. Filters reduce friction. None of these mechanisms are inherently problematic. The problem appears when they are…
Introduction I keep hearing the same question framed the same way: “Do we have a crawl budget problem?” It usually comes after someone notices that Googlebot spent a lot of time somewhere unimportant and not enough time where the business…
An operational SEO article from an Australian webmaster Introduction Updating pages is one of the most common SEO maintenance activities. Yet, in practice, updates often feel invisible. Pages are edited.Content is refreshed.Signals are supposedly improved. And still — nothing happens.…
An operational SEO article from an Australian webmaster Why Crawl Paths Matter More Than Structure Most site owners believe Google “scans” their website. In reality, Google moves through it. Not by menus.Not by visual hierarchy.Not by how the site looks…