Learn · GEO Fundamentals

Understand GEO before you optimise for it

A fact-checked course in how AI answer engines find, cite, and recommend brands. Work through the concepts in order — each module ends with a quick check. When you're ready to act, every module links straight into the Playbook.

8 modulesConcepts, not tacticsEvery claim fact-checked
01What GEO is — and why it matters nowGenerative Engine Optimisation: making your brand discoverable, citable, and transactable by AI answer engines — and why the shift from search to answers changes the game.6 min read02How AI finds and cites your contentThe crawl → retrieve → cite pipeline: how a model goes from your raw HTML to naming your brand in an answer.7 min read03The readiness ladder (L0 → L4)The five levels from invisible to transactable, and how to tell which one you are on.5 min read04Crawlers & accessrobots.txt, llms.txt, and the render gap — why AI crawlers may never see your content at all.7 min read05Structured data & feedsWhat schema actually does (gates eligibility, not citations) and how product feeds reach AI shopping.7 min read06Entity & authorityCold recall, Wikipedia/Wikidata, and why domain authority outweighs markup as a citation signal.8 min read07Agentic commerceWebMCP, x402, and the wide-open agent-integration frontier where shopping agents act on your behalf.7 min read08Measuring honestlyGhost citations, the N=1 trap, and the 12–24 month training lag — how to measure GEO without fooling yourself.6 min read

8 of 8 modules live · certification coming once the track is complete · spotted something out of date? See how we fact-check.