AI & AEO

AIO (AI Optimization)

Quick Definition

AIO is an emerging umbrella term covering all forms of optimization for AI surfaces — AI Overviews, ChatGPT search, Perplexity, Claude, Gemini — across both retrieval and citation contexts.

In context

AIO is broader than AEO. Where AEO focuses narrowly on being cited in answer engines, AIO encompasses the full stack: training-data inclusion, real-time retrieval, in-context citation, and brand mention frequency in generated answers. Most agencies use AIO and AEO interchangeably in 2026 even though they're not strictly the same.

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Related terms

Answer Pack (AI)

An answer pack is the cluster of citations an AI engine attaches to a synthesised answer — typically 3–10 source URLs, ordered roughly by contribution to the answer.

AI Snippet

An AI snippet is a short, AI-generated passage extracted from your content that an AI engine surfaces as the answer to a user query, typically with a citation back to your source.

GEO vs AEO

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.

Semantic Search

Semantic search is search that interprets the intent and contextual meaning of a query rather than matching only literal keywords — the dominant search paradigm since BERT (2019).

MCP (Model Context Protocol)

MCP is an open protocol introduced by Anthropic in late 2024 for connecting AI assistants to external data sources and tools in a standardized way.

Entity Recognition

Entity recognition is the process by which search engines and LLMs identify the discrete real-world entities (people, companies, products, places) referenced in a piece of content.

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