Answer engine optimization (AEO)
SEO & AI searchDefinition
Answer engine optimization (AEO) is the practice of structuring content so AI assistants and answer engines such as ChatGPT, Perplexity, and Google AI Overviews can extract and cite it when they answer questions. It matters because a growing share of searches now end in an AI answer instead of a click.
Answer engines quote sources that make extraction easy: a direct definition in the first sentences, headings that match real questions, FAQ and DefinedTerm schema, and consistent facts across pages. Long preambles and buried answers get skipped.
AEO changes what winning looks like. A page can drive brand mentions and cited authority even when the searcher never visits, so you measure citations and AI referrals alongside classic organic traffic.
How Savra puts it to work
Savra’s SEO domain applies AEO to your site: answer-first page structures, schema markup, and definitional content like this glossary, all written in your brand voice and checked against live Search Console data.
People also ask
How is AEO different from SEO?
SEO optimizes for a ranked list of links; AEO optimizes for extraction and citation inside AI-generated answers. The disciplines overlap, and strong pages usually do both.
How do I optimize a page for AEO?
Answer the query in the first 60 words, use question-shaped headings, add FAQ and definitional schema, and keep facts consistent so engines can trust the extraction.
Is AEO the same as GEO?
They overlap heavily. GEO (generative engine optimization) emphasizes visibility across generative results; AEO emphasizes being the extracted answer. In practice teams run one playbook.
Where this lives in Savra
See how Savra puts answer engine optimization (aeo) to work.
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