SEO, or Search Engine Optimization, is the practice of optimizing web pages to rank highly in traditional search results. AEO, or Answer Engine Optimization, is the practice of structuring content to be cited in AI-generated answers. The two share some foundational signals but serve different visibility outcomes.
The goal of SEO is to get a specific URL to appear near the top of a list of search results for a relevant query. Success is measured by page ranking, organic traffic, and click-through rate. The optimization targets include keyword relevance, backlink profile, page authority, and technical performance.
The goal of AEO is to become a cited source inside a synthesized answer. Success is measured by citation frequency across AI engines for relevant queries. The optimization targets include named authorship with schema markup, long-form structured content with direct answers, indexed domain authority, and topical consistency over time.
Where they overlap: both benefit from indexed domain authority, content quality, and technical hygiene. Strong SEO signals contribute to AEO performance. A site that ranks well in traditional search is generally better positioned for AI citation than one that does not.
Where they diverge: AEO requires named individual authorship and personal authority signals that traditional SEO does not. AEO rewards question-driven long-form content more than keyword-optimized page content. AEO citation is tied to the individual executive's indexed record, not to the domain alone.
For executives, the practical priority is to build the indexed publishing infrastructure that serves both: consistent long-form content on owned and external indexed domains, with schema markup and named authorship. This foundation performs well for both traditional search and AI citation.