AEO vs GEO vs SEO
Three disciplines. One goal: get found. Here is how they differ, where they overlap, and why you need all three in 2026.
SEO, GEO, and AEO all chase the same outcome: your content showing up when someone asks a question. SEO targets classic Google rankings. GEO (generative engine optimization) targets AI-written answers, and AEO (answer engine optimization) targets being quoted as the direct answer. Since Google rolled out AI Overviews in 2024, the three overlap more than they differ, and you need the basics of all of them.
The comparison
| SEO | GEO | AEO | |
|---|---|---|---|
| Target channel | Search result page rankings (Google, Bing) | Generative AI responses and AI search surfaces | Direct answer extraction (featured snippets, AI Overviews) |
| Primary signals | Keywords, backlinks, PageRank, Core Web Vitals | llms.txt, content quality, domain authority, citation network | Clear answers, evidence, descriptive structure, and crawlable pages |
| Output | Position 1-10 on a SERP | Brand mention or direct citation in AI answer | Verbatim citation in AI or featured snippet |
| Success metric | Organic click-through rate, impressions | Citation frequency, cited pages, AI visibility signals | Featured snippet ownership, AI citation frequency |
Where they overlap
All three reward high-quality, authoritative content. Strong domain authority, a healthy backlink profile, and fast page load times benefit SEO, GEO, and AEO equally. The divergence is in the layer above: SEO stops at ranking; GEO adds AI-readable formats (llms.txt); AEO adds answer structure (schema, direct-answer paragraphs). Invest in the foundation first, then layer GEO and AEO on top.
Sources
The paper that introduced generative engine optimization built a benchmark of real queries specifically because AI visibility wasn't being measured the way search rankings are. Google's own AI features documentation says AI Overviews and AI Mode use the same underlying ranking signals as classic Search, no separate optimization track. AEO's structural half comes from older, boring standards: W3C heading guidance for scannable structure and the schema.org vocabulary for marking up direct answers so machines don't have to guess.
There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.
— Google Search Central documentation, “AI features and your website”
AI Overviews help people get to the gist of a complicated topic or question more quickly, and provide a jumping off point to explore links to learn more.
— Google Search Central documentation, “AI features and your website”
We facilitate systematic evaluation by introducing GEO-bench, a large-scale benchmark of diverse user queries across multiple domains, along with relevant web sources to answer these queries.
— Aggarwal et al., “GEO: Generative Engine Optimization” (arXiv:2311.09735)
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