Ehyperlink SEO and GEO get lumped together a lot, and there's a reason for that: a lot of the same underlying signals matter to both. But the mechanics of how a person finds your business through Google versus through ChatGPT are different enough that treating them as identical leads to gaps.
Traditional SEO is fundamentally about ranking a page in a list of results. The person searching sees a handful of links and clicks one. Every part of classic SEO, from keyword targeting to backlink building, is ultimately aimed at getting a specific URL into a favorable position in that list.
Generative Engine Optimization is aimed at a different moment. When someone asks ChatGPT or Perplexity a question, there's often no list of links at all. The AI tool reads across many sources, synthesizes an answer, and may or may not mention where that information came from. Getting cited in that answer, or better yet recommended by name, is a different kind of visibility than a ranking position.
Where the two connect is authority. Both traditional search engines and AI tools lean on similar trust signals: how often a source gets referenced elsewhere, how consistent its information is, how credible its backlink profile looks. This is part of why a site with a properly earned link profile tends to do reasonably well on both fronts, even without doing anything GEO-specific.
Where they diverge is in what optimized content looks like. SEO content is written to be found by a person scanning search results and to hold their attention once they click through. GEO-friendly content is written to be easily extracted and repurposed by a language model, which rewards clarity and factual density over persuasive framing.
Practically, this means a business investing in AI visibility can't just repurpose its existing SEO content and expect the same results. It needs some of the same foundation, real authority, real backlinks, real accuracy, but a distinct approach to how that content gets structured and presented.