GEO vs AEO vs SEO: a clear breakdown

Define each one cleanly

The three acronyms describe the same goal — visibility — at different surfaces.

• SEO: make a page rank well so users find and click it in the results list.
• AEO: structure a passage so an engine can lift it as the single best answer.
• GEO: earn citations inside generative answers across ChatGPT, Perplexity, Gemini, and more.

How they relate

Think of them as nested layers. SEO is the foundation — being findable, crawlable, and trusted. AEO sits on top and sharpens extractability: phrasing questions as headings and answering them cleanly so an engine can take the response verbatim. GEO is the broadest layer for the AI era, encompassing AEO-style extractability plus the authority, entity consistency, and machine-readability that make engines comfortable citing you specifically.

Because the layers share inputs, improving one usually lifts the others. A page written answer-first, structured for extraction, and backed by evidence ranks well (SEO), wins snippets (AEO), and earns AI citations (GEO).

Where the emphasis differs

The distinction shows up in what each layer weights most heavily.

• SEO leans on rankings signals: links, technical health, topical depth, intent match.
• AEO leans on extractability: question-shaped headings, concise self-contained answers, FAQ schema.
• GEO adds engine-facing signals: structured data, llms.txt, entity consistency, citation measurement.

Which should you invest in?

All three, with the same content. The mistake is treating them as separate projects with separate budgets, which duplicates effort. Write each important page once — answer-first, well-structured, evidence-backed, cleanly marked up — and you satisfy the ranking systems, the snippet engines, and the AI answer engines together. Then differentiate your measurement: rankings and clicks for SEO, snippet presence for AEO, citations and share of voice for GEO.