Two terms, one practice. Understand the difference between Answer Engine Optimization and Generative Engine Optimization—and why they describe the same thing.
AEO and GEO are different names for the same practice.
Both describe optimizing your brand to appear in AI-generated responses. The terminology difference reflects emphasis:
Answer Engine Optimization
Emphasizes the user behavior: people asking AI for answers. Focuses on the "answer engine" function of AI assistants.
Generative Engine Optimization
Emphasizes the AI technology: generative models creating content. Focuses on the "generative" nature of LLMs.
AEO emphasizes what users do: ask for answers. This aligns with how we help brands— getting them recommended when users seek solutions.
Marketers understand SEO. AEO builds on that familiarity, making the concept more accessible. "Answer Engine" parallels "Search Engine."
"Answer Engine Optimization" implies a clear goal: getting your brand to be the answer. It's actionable and outcome-oriented.
AEO, GEO—the name matters less than the results. See how visible your brand is to AI.
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