GEO Glossary

The practice of optimizing content to maximize visibility and citations in AI-generated responses from platforms like ChatGPT, Claude, Perplexity, and Gemini. Unlike traditional SEO which focuses on search rankings, GEO aims for inclusion in AI-generated content.

Search Engine Optimization strategies specifically designed for AI-powered search platforms. Focuses on optimizing content for AI understanding and citation rather than traditional keyword ranking.

A subset of GEO focused on optimizing content to be featured as direct answers in AI responses. Emphasizes clear, concise, and authoritative answers to specific questions.

The process of optimizing content to increase the likelihood of being cited as a source in AI-generated responses. Involves authority building, content structure optimization, and source credibility enhancement.

The practice of structuring and crafting content to align with how AI systems understand meaning, context, and relationships between concepts, enabling more accurate interpretation and increased likelihood of citation in AI-generated responses.

A comprehensive approach to GEO that optimizes content for multiple AI platforms simultaneously, accounting for their different preferences and algorithms.

The process of establishing credibility and expertise signals that AI platforms recognize when selecting sources for citations. Includes expert authorship, institutional backing, and quality link profiles.

Optimizing content for natural language queries as they would be asked in conversation with AI assistants, rather than traditional keyword-based searches.

OpenAI's conversational AI platform. Heavily favors Wikipedia sources (67% of citations) and authoritative, well-structured content with clear attribution.

Anthropic's AI assistant trained with Constitutional AI principles. Prefers comprehensive analytical content with academic-style sourcing and ethical considerations.

AI-powered search engine that combines real-time web search with AI responses. Heavily cites Reddit (43%) and favors fresh, recently published content.

Google's multimodal AI platform with advanced capabilities for processing text, images, and code. Strongly integrated with Google's ecosystem and favors technical documentation.

AI models trained on vast amounts of text data to understand and generate human-like text. The foundation technology behind most AI platforms used in GEO.

The practice of crafting effective input prompts to get desired outputs from AI models. In GEO, understanding how users query AI systems helps optimize content structure.

Structured data vocabulary that helps AI systems understand content context and meaning. Critical for GEO as it provides clear content categorization.

HTML markup that conveys meaning and structure rather than just presentation. Important for AI systems to understand content hierarchy and relationships.

The ability of AI systems to identify and understand entities (people, places, concepts) within content. Optimizing for entity recognition improves GEO performance.

A structured representation of real-world entities and their relationships, organized as a network of interconnected data points. Used by AI systems to understand context, make inferences, and provide more accurate responses.

The maximum amount of text an AI model can process at once. Understanding context windows helps optimize content length and structure for different platforms.

The process of training a pre-trained AI model on specific data to improve performance for particular tasks. Relevant for understanding how AI platforms specialize.

AI systems that can process and understand multiple types of content (text, images, audio, video) simultaneously. Important for platforms like Gemini.

AI technique that combines pre-trained models with real-time information retrieval. Used by platforms like Perplexity to provide current information.

The basic unit of text that AI models process. Understanding tokens helps optimize content length and structure for AI consumption.

The percentage of AI responses that include citations or references to sources. A key metric for measuring GEO success.

A measure of how authoritative and credible AI systems consider a source. Influences citation probability and prominence in AI responses.

The range of different queries for which your content gets cited or referenced. Measures the breadth of your GEO success.

How consistently AI platforms attribute information to your source across related queries. Indicates content authority and reliability.

How much your content shapes or influences the overall AI response structure and conclusions. Measures content impact beyond just citations.

The impact of content recency on citation probability. Particularly important for platforms like Perplexity that favor recent content.