SEO, AEO, and GEO Explained: What Developers Need to Know for AI Search

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A brand strategist who regularly collaborates with engineering teams has outlined the technical distinctions between SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) as AI-powered search grows in relevance. While traditional SEO focuses on crawlable HTML, clean URLs, and structured schema markup, AEO requires content to be self-contained and directly answerable so it can be surfaced in featured snippets or voice responses. GEO targets large language models like those behind Google AI Overviews and Perplexity, emphasizing consistent factual claims, plain language, and emerging conventions like an llms.txt file at the site root. The author notes that clean semantic HTML and valid structured data serve all three optimization layers simultaneously, making a solid technical foundation more valuable than chasing GEO-specific tactics. Teams are advised to fix broken schema markup before pursuing advanced AI-visibility strategies.

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ProgrammingDEV Community ·

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