AEO vs SEO vs GEO: What Each One Actually Means
Three acronyms, three genuinely different objectives. Here is how they differ and where they overlap.
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Skip to contentThree acronyms, three genuinely different objectives. Here is how they differ and where they overlap.
Traditional search engine optimization aims to place your page high in a list of results so a user clicks it. Success is measured in rankings, sessions, and conversions from those sessions.
Answer Engine Optimization aims for your content to be extracted and displayed as the answer itself, in featured snippets, People Also Ask, voice results, and AI answer cards. Success is measured in extraction frequency, and sometimes it reduces clicks while increasing visibility.
Generative Engine Optimization aims for language models to cite and recommend your brand when answering questions in your category. Success is measured in citation share across platforms.
They are layered, not competing. Traditional ranking authority feeds AI citation. Answer structure feeds both snippet extraction and model retrieval. Doing all three well requires one coherent content strategy rather than three separate programmes.
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