A growing share of questions that used to become search clicks are now answered directly inside mainstream AI engines, sources cited, no visit required. The traffic isn't dying; it's moving house. The question is not whether to care about GEO — generative engine optimization — but what order to do the work in.
The two wrong reactions
Camp one pretends nothing is happening and keeps grinding keyword rankings as if it were five years ago. Camp two torches the SEO roadmap and chases AI visibility hacks on a site that loads slowly, has no structure, and says nothing quotable. Both camps lose, for the same reason: they treat SEO and GEO as rivals when one is the foundation of the other.
GEO stands on SEO's shoulders
Mainstream AI engines cite sources they can crawl, parse, and trust — which overlaps heavily with what already ranks. Clean structure, real expertise, consistent entity information, pages organized around questions and answers: this is SEO hygiene, and it's also precisely what makes content liftable into an AI-generated answer. A site that search engines can't make sense of will not fare better with an AI engine.
Fundamentals first, tactics last
First, fix the fundamentals: crawlability, site structure, one clear answer per page, consistent naming of who you are and what you do. Second, make content citation-ready — direct answers near the top, claims a machine can attribute, structure a parser can follow. Third, start measuring GEO on its own terms: ask the mainstream AI engines the questions your customers ask, and track whether you show up in the answers, because rank trackers won't tell you.
One caveat worth its own sentence: GEO measurement is young and noisy, so treat any vendor promising a precise 'AI visibility score' with suspicion.
So the answer to 'SEO or GEO first' is: SEO-shaped fundamentals first, GEO measurement immediately, GEO-specific tactics last. Skipping the foundation doesn't make you early to GEO. It makes you invisible in both places.
