--- description: AEO and GEO describe substantially the same work under different labels. GEO, or Generative Engine Optimization, originates in a 2024 research paper on… image: https://www.leanlabs.com/hubfs/LL%20V4.1/LL%20Featured%20Image.png title: AEO vs. GEO: What's the difference? --- Answer Engine Optimization AEO vs. GEO: What's the difference? # AEO vs. GEO: What's the difference? AEO and GEO describe substantially the same work under different labels. GEO, or Generative Engine Optimization, originates in a 2024 research paper on improving a source's visibility inside generative responses. AEO, or Answer Engine Optimization, is the more common buyer-facing term and usually describes a wider program covering on-site structure, off-site authority, reputation, and monitoring. Most vendors use them interchangeably, so the useful comparison is what a provider actually delivers. ## Where each term came from GEO has the cleaner origin story. The 2024 KDD paper defined it as optimizing the visibility of a source within a generative engine's response, and it introduced specific visibility metrics to measure that ([the GEO paper](https://arxiv.org/abs/2311.09735)). AEO grew out of agency and marketing vocabulary, carried forward from the featured-snippet era, and it stuck largely because buyers immediately understand what an answer is. The distinction people try to draw between them is one of emphasis. NoGood's terminology guide describes AEO as producing extractable, citable answers and GEO as producing reliable source material for generative systems, while acknowledging that the underlying principles converge ([NoGood's guide](https://nogood.io/blog/aeo-guide/)). You will also see LLMO, LLM SEO, and AI SEO used for the same activity, usually by whoever coined the acronym. ## The distinction people try to draw | | AEO | GEO | | ------------------------ | ------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- | | Origin | Agency and marketing vocabulary, evolved from SEO and featured snippets | KDD 2024 research paper defining visibility metrics for generative responses | | Emphasis in common usage | Becoming the answer: extractable, citable passages | Influencing retrieval and synthesis: being the source material the model builds on | | Typical scope as sold | Full program including content, schema, off-site authority, reviews, monitoring | Often narrower, weighted toward content and source quality | | Sibling labels | AI SEO, answer optimization | LLMO, LLM SEO, AI visibility | | Tactics in practice | Largely identical | Largely identical | ## How we use both lenses We treat the two terms as lenses on one job. The AEO lens asks whether an engine can lift a usable answer out of your page, while the GEO lens asks whether the engine retrieved your page in the first place, and since a citation requires both things to be true, we deliver them inside a single system instead of selling them as separate products. The on-site portion of that is what [AEO Genie](https://www.leanlabs.com/solutions/aeo-genie) handles, and the off-site half is where most of the authority work happens. Because the acronym on a vendor's pitch deck carries no information about what they'll actually do, the diligence has to happen at the level of the statement of work. Ask who writes the answers, who implements the schema and technical fixes, who runs the publisher outreach, who collects the reviews, how many engines get tracked, and what the plan is when a competitor overtakes you on a high-intent prompt. Two vendors using identical vocabulary will give you visibly different answers to that list, and the answers are the comparison you wanted when you started googling the acronyms. ### Ask AI about Lean Labs [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/chatgpt.svg) ChatGPT ](https://chat.openai.com/) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/googlegemini%201.svg) Gemini ](https://www.google.com/search?udm=50) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/perplexity%201.svg) Perplexity ](https://www.perplexity.ai/search/new) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/claude%201.svg) Claude ](https://claude.ai/new) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/copilot.svg) Copilot ](https://copilot.microsoft.com/) Ask AI ```json { "@graph": [ { "@id": "https://www.leanlabs.com/#organization", "url": "https://www.leanlabs.com/", "logo": { "url": "https://www.leanlabs.com/favicon.ico", "@type": "ImageObject", "width": 60, 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