GEO vs AEO vs LLM SEO
Three acronyms, one underlying job.
GEO, AEO, LLM SEO, answer engine optimization — the AI-search world has spawned a pile of acronyms, and vendors lean on the jargon to sound advanced. Here's what each term actually means, where they genuinely differ, and why the work underneath them is largely the same discipline. Cut through the alphabet soup.
When an industry is new, the terminology outruns the substance. Three or four acronyms now describe roughly the same goal — being surfaced by AI — and the distinctions between them are smaller than the marketing suggests. Knowing what each means protects you from agencies selling a "new service" that's a relabel of work you should already be getting.
GEO — Generative Engine Optimization.
GEO is the broadest and most widely used term: optimizing to appear in the answers that generative AI engines produce — ChatGPT, Perplexity, AI Overviews, Claude. It covers the whole surface, from being included in a synthesized recommendation to being cited as a source.
When people say "AI search optimization," GEO is usually what they mean. It's the umbrella the other terms mostly fit under. What is GEO →
AEO — Answer Engine Optimization.
AEO predates the generative-AI wave slightly — it grew up around featured snippets, voice assistants, and "answer boxes," where the search engine gives a direct answer rather than a list. It emphasizes structuring content so it can be lifted as the answer to a specific question.
In practice, AEO and GEO have largely converged: both reward content organized as clear questions and clean answers a machine can extract. AEO leans toward the "be the answer to this question" framing; GEO toward "be in the generated recommendation." Same content discipline, slightly different emphasis. Structuring content for extraction →
LLM SEO — and the rest.
"LLM SEO" is a newer, looser label for the same goal framed around large language models specifically — making sure the models that power AI engines understand and surface your business. You'll also see "AI SEO," "chat SEO," and others. These are mostly synonyms competing for adoption, not distinct disciplines.
The honest read: the field hasn't settled on one term, so vendors pick whichever sounds freshest. Don't buy a service on the strength of its acronym. Buy it on whether it does the actual work — and the actual work is the same regardless of the label. AI Search Optimization →
What all of them actually require.
Strip the acronyms and the work converges on three things. A clear entity — the engine must confidently know who you are and what you do. Corroboration — mentions and citations across the web that confirm your relevance and credibility. Extractable content — information structured so a model can pull a clean answer from it.
Whether someone calls it GEO, AEO, or LLM SEO, those three pillars are the job. An agency that delivers them is doing AI search right; one that mostly delivers a new acronym is selling vocabulary. Entity optimization for AI →
Judge the work, not the acronym.
When a vendor pitches GEO, AEO, or LLM SEO, the right question isn't "what's the difference" — it's "show me the entity work, the citation strategy, and the content structure." If they can, the label doesn't matter. If they can't, no acronym saves the engagement. The terms will keep multiplying; the underlying discipline won't change much. For where AI fits among the other surfaces, see the three local search surfaces →
Skip the jargon. Get the work.
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The work behind the acronyms.
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