Google is a giant local database. But how is it updated? A 3-stage conveyor.
So, we learned that Google is a huge local database. But how is this database updated, and how does the system decide who gets first place? The whole mechanism works as a well-tuned automated conveyor with three stages.
Google has an army of automated bots — often called "spiders" (Googlebot). At their core they are extremely powerful parser-scripts. They have no interface, they don't see your site's design.
Their job is to walk links (URLs) as if traveling along threads of a web. Once on a page, the bot reads the HTML, scans the text, finds new links, and moves through them.
This runs 24/7 to discover new sites and capture changes on old ones.
Raw data collected by parsers goes to servers. Here another algorithm kicks in — it takes the page apart "bone by bone":
If the page has no critical errors and carries some value, it lands in a giant catalog. Words break into tokens, and the page is bound to specific topics.
This is the hardest part — the famous "black box" of the search engine. When you enter a query, the algorithm pulls hundreds of thousands of pages containing your words from the Index. How does it order them in a fraction of a second?
Google uses hundreds of factors. It checks:
🎯 The winner is the one who scores maximum across all parameters simultaneously.
🎬 Coming up: Lesson 3 — how to actually "help" Google understand your site. SEO without mysticism.