The terms behind GEO and AI search.
Short, direct definitions for the acronyms and concepts that come up in GEO, AEO, and AI search work, from generative engine optimization to llms.txt.
Answer Engine Optimization (AEO) AEO
Answer Engine Optimization (AEO) is the practice of structuring content to win the single concise answer inside a search feature, voice assistant, or answer engine like Perplexity, rather than a ranked list of results.
Read the definition →Generative Engine Optimization (GEO) GEO
Generative Engine Optimization (GEO) is the practice of structuring content and technical signals so AI systems like ChatGPT, Google AI Overviews, and Perplexity cite and recommend a brand inside their generated answers.
Read the definition →Google AI Overviews AI Overviews
Google AI Overviews are AI-generated summaries that appear above traditional search results, synthesizing an answer from multiple sources and citing the pages it draws from.
Read the definition →Large Language Model Optimization (LLMO) LLMO
Large Language Model Optimization (LLMO) is the practice of structuring content for how large language models retrieve, summarize, and cite information, using the same fundamentals as GEO with more emphasis on retrieval mechanics.
Read the definition →llms.txt llms.txt
llms.txt is a proposed standard that gives AI systems a curated, markdown-formatted index of a website's most important content, published at the domain root the way robots.txt is.
Read the definition →Need help turning these terms into results?
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