Yes. And the difference is fundamental. SEO makes you findable. AI search optimization makes you chooseable. In traditional search, you compete for position on a list of links. In AI search, you compete for inclusion in a single synthesized answer. There is no page two. There is no second result. Your brand is either in the answer or it is not.
The terminology is still settling. Some call it AEO, answer engine optimization. Others call it GEO, generative engine optimization. The underlying shift is the same: optimizing not for ranking but for being cited, quoted, and recommended inside AI-generated responses. And the difference from traditional SEO is not cosmetic. Backlinks, the cornerstone of traditional SEO authority, predict AI citations in fewer than seven percent of cases. The signals that drive AI visibility are different: content clarity, factual density, cross-platform consensus, and how easily a machine can extract a direct answer from your page.
That does not mean SEO is dead. Traditional search still drives the majority of web traffic. Google processes over sixteen billion searches every day. But the behavior is splitting. AI-powered search is growing fast, with LLMs projected to capture seventeen percent of organic traffic in 2026. And the content that performs in AI search is different. Content updated within the last thirteen weeks is fifty percent more likely to be cited by answer engines. Freshness, structure, and specificity matter more than volume and backlink count.
The overlap is real. Roughly sixty to seventy percent of optimization factors work for both SEO and AI search. Clean structure, clear headings, authoritative content, accurate information. If your SEO fundamentals are strong, you are already halfway there. But the remaining thirty percent is where brands win or disappear in AI. That gap is filled by brand positioning, content extractability, and the consistency of your story across every source the machine can read.
The agencies that understand this build for both. The ones that do not are optimizing for a world that is shrinking while ignoring the one that is growing.