AI & AEO

LLM (Large Language Model)

Quick Definition

An LLM is a deep-learning model trained on vast text data, capable of generating human-like language. Examples: GPT-4, Claude, Gemini, Llama.

In context

LLMs power modern AI search, chatbots, and content generation tools. Understanding their capabilities and limitations is increasingly important for SEO professionals.

Have a question this didn't answer?

Book a free 60-minute strategy call. We'll explain how this concept applies to your specific situation.

Book a Free Call Browse 50+ Detailed Answers

Related terms

Multi-Step Reasoning

Multi-step reasoning is when an LLM works through a problem across several intermediate steps rather than producing a single shot answer, increasing accuracy on complex queries.

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).

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.

LLM Optimization

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

Generative Search

Generative search uses large language models to compose answers from multiple sources rather than simply linking to ranking pages.

Featured Snippet vs AI Overview

Featured snippets show one direct answer pulled from a single ranking page; AI Overviews synthesize from multiple sources with AI-generated text.

Back to all terms