SEO - full curriculum

Understand the machine before the tactics: what a query is, how pages are fetched, how they are stored, and what 'relevant' is computed from.

An AI answer is a retrieval result with a writer on top. Learn every stage of that pipeline, so a change to it is something you can reason about rather than react to.

Everything in module 1 and 2 is unreachable if the page is never fetched, never indexed, or never rendered. This is the floor.

What has to be true about the page itself - for a parser, for a performance measurement, and now for an agent operating it on someone's behalf.

Deciding what to write, when the question arrives as a conversation and gets expanded into a dozen searches before anything is retrieved.

The difference between content that is technically fine and content a system has any reason to prefer - and the line where scaling it becomes a policy violation.

Where credibility comes from now that a citation can replace a click, and why the off-site graph stopped being a side quest.

Knowing whether any of it worked - across two consoles, a set of vendor tools that measure different things, and a channel where the click may never happen.

The seam nobody owns: the ten seconds between arriving from a search and deciding to stay.

What happens after the first session, and the cadence that makes any of this compound instead of being a campaign.