Large Language Model (LLM)
An AI model trained on vast amounts of text data that can understand and generate human-like text, powering modern answer engines.
Large Language Models (LLMs) are the technology behind modern AI assistants and answer engines. They process and generate text by learning patterns from massive datasets.
Popular LLMs
- GPT-4 - Powers ChatGPT and many AI applications
- Claude - Anthropic’s conversational AI
- Gemini - Google’s multimodal AI model
- Llama - Meta’s open-source LLM family
How LLMs Process Content
When an LLM encounters your content during training or retrieval:
- It analyzes the semantic meaning and context
- It evaluates the content’s relevance to potential queries
- It determines the authority and reliability of the source
- It may cite or synthesize information in its responses
Optimizing Content for LLMs
To increase the chances of your content being used by LLMs:
- Write clear, factual content
- Use proper headings and structure
- Include relevant context and definitions
- Maintain topical authority in your domain
Related Terms
Answer Engine Optimization (AEO)
Answer Engine OptimizationThe practice of optimizing content to be surfaced and cited by AI-powered answer engines like ChatGPT, Claude, and Perplexity.
AI Visibility
Answer Engine OptimizationThe measure of how often and prominently your content is referenced, cited, or mentioned by AI-powered systems and answer engines.
AI platforms are answering your customers' questions. Are they mentioning you?
Audit your content for AI visibility and get actionable fixes to improve how AI platforms understand, trust, and reference your pages.