Where they overlap
Most of what makes a page good for SEO also makes it good for GEO: real expertise instead of filler, fast load times, a site structure a crawler can actually parse, and schema markup that states facts plainly instead of burying them in prose. Neither discipline rewards a thin, generic page — they just reward it in different places.
Where they genuinely split
SEO's job ends once a page ranks — the human takes it from there, scanning titles and deciding what to click. GEO's job doesn't get that handoff. The model reads the whole page, decides what's trustworthy and quotable, and writes the final answer itself. That means GEO cares about things SEO was never built to check: is this page even allowed to be crawled by an AI-specific bot, is the answer stated in a form a model can lift cleanly, is there a machine-readable index (llms.txt) telling the model what this site is actually for.
A site can rank on page one of Google for years and still be functionally invisible to ChatGPT — not because the content is bad, but because nobody ever checked the AI-specific boxes, since until recently there was no reason to.
How to know which one you need more of
Guessing wastes budget in both directions — over-investing in SEO work a site already has covered, or ignoring a GEO gap that's actively costing citations. The fastest way to know for certain is to check the actual signals rather than assume: run the free audit below and act on what it actually finds.
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