AI & AEO

LLM Optimization

Quick Definition

LLM optimization is the practice of structuring content so large language models can accurately understand and cite it.

In context

Tactics: clear factual writing, comprehensive topical coverage, structured data, explicit definitions, and consistent terminology. Many traditional SEO best practices double as LLM optimization.

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Related terms

Vector Embedding

A vector embedding is a numerical representation of text (or images, audio) in high-dimensional space, used by AI engines to find semantically similar content for retrieval.

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.

Google AI Mode

AI Mode is Google's expanded conversational AI search experience (announced 2024–2025) — a more chat-style search surface beyond the AI Overview module embedded in classical SERPs.

AI Content Detection

AI content detection refers to algorithms (and Google's quality systems) attempting to identify content generated primarily by AI without meaningful human input.

Model Routing (AI Search)

Model routing is the technique used by AI search systems to dynamically choose which underlying model handles a given query — favouring smaller / faster models for simple queries and larger models for complex synthesis.

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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