AI & AEO

GEO vs AEO

Quick Definition

GEO and AEO are essentially the same discipline under different names — both describe optimizing content to be retrieved and cited by AI search engines and answer engines.

In context

AEO (Answer Engine Optimization) is the older term, popularized around 2022 by SEO practitioners. GEO (Generative Engine Optimization) was coined in a 2023 academic paper and is more common in technical literature. Most agencies use them interchangeably and the distinction rarely matters in practice.

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Related terms

AEO (Answer Engine Optimization)

AEO is the practice of optimizing content to be cited in AI-generated answers from ChatGPT, Google AI Overviews, Perplexity, and other generative search engines.

RAG (Retrieval-Augmented Generation)

RAG combines a language model with a search system that retrieves relevant documents to ground the model's responses in current factual content.

Gemini (Google)

Gemini is Google's family of multimodal AI models, used to power Google's AI Overviews, Bard's successor chat surface, and the Gemini app and API.

Helpful Content System

Google's Helpful Content System is a sitewide quality evaluation that reduces the visibility of content created primarily for search engines rather than users.

Semantic Chunking

Semantic chunking is how AI retrieval systems break long content into smaller, semantically coherent passages that can be retrieved and cited independently.

Microsoft Copilot (formerly Bing Chat)

Microsoft Copilot is the AI search and assistant surface across Bing, Edge, Windows, and Microsoft 365, powered by GPT-class models with grounding via Bing's search index.

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