Generative Engine Optimization (GEO)
The discipline of optimizing content to rank in AI assistants (ChatGPT, Claude, Perplexity, Gemini).
Generative Engine Optimization (GEO), also called AI Search Optimization (AISO) or LLM Optimization, is the practice of optimizing content for citation and ranking in generative AI assistants — ChatGPT, Claude, Perplexity, Gemini, and emerging open-source assistants. Core tactics include: AI-friendly robots.txt, llms.txt manifests, comprehensive Schema.org markup, conversational query targeting, conversational answer paragraphs, original research, and entity authority through Wikipedia/Wikidata presence. Empire325 builds GEO-first content strategies, measuring citation share alongside traditional SEO metrics.
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Large Language Model (LLM)
A neural network trained on massive text corpora to understand and generate human language.
Retrieval-Augmented Generation (RAG)
An AI architecture combining LLM generation with real-time retrieval from external knowledge sources.
AI Agent
An autonomous LLM-based system that plans, takes actions via tools, and accomplishes multi-step goals.
Fine-Tuning
Adapting a pretrained foundation model to specific tasks or domains via additional training.