Glossary
AI Visibility Glossary
Key terms and concepts for understanding AI visibility, LLM optimization, and the future of search.
All Terms
AI & LLM
Terms related to AI systems and language models
AI Agent
An AI system that can autonomously perform tasks, make decisions, and interact with external tools or services on behalf of users.
Read moreAI Hallucination
When an AI system generates false, misleading, or fabricated information that appears plausible but has no basis in reality or training data.
Read moreAI SEO
Search engine optimization strategies specifically designed for AI-powered search engines and assistants.
Read moreAI Visibility
The degree to which a website or brand is discoverable, understood, and cited by AI systems like ChatGPT, Claude, and Perplexity.
Read moreChain of Thought
A prompting technique that encourages AI models to break down complex problems into step-by-step reasoning.
Read moreCitation Authority
A measure of how frequently and reliably AI systems cite your content as a source when generating responses.
Read moreFew-shot Learning
An AI model's ability to learn new tasks from just a few examples provided in the prompt or context.
Read moreFine-tuning
The process of training a pre-trained AI model on specific data to improve its performance on particular tasks or domains.
Read moreGrounding
Techniques that connect AI responses to verified, factual information sources to reduce hallucinations and improve accuracy.
Read moreLLM Optimization
The practice of optimizing content and website structure specifically for large language models to better understand, index, and cite.
Read moreMultimodal AI
AI systems that can understand and generate multiple types of content including text, images, audio, and video.
Read morePrompt Engineering
The practice of crafting effective inputs (prompts) to guide AI systems toward desired outputs and behaviors.
Read moreRAG (Retrieval-Augmented Generation)
A technique that enhances AI responses by retrieving relevant external information before generating an answer.
Read moreZero-shot Learning
An AI model's ability to perform tasks or answer questions it wasn't explicitly trained on, using only its general knowledge.
Read moreSEO & Content
Search optimization and content strategy terms
E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness - quality signals that both search engines and AI systems use to evaluate content.
Read moreProgrammatic SEO
The practice of creating large numbers of SEO-optimized pages automatically using templates and data.
Read moreTopical Authority
The perceived expertise a website has on a specific subject, built through comprehensive, high-quality content coverage.
Read moreTechnical
Technical implementation terminology
AI Crawlers
Automated bots used by AI companies to index web content for training and retrieval in AI systems.
Read moreContext Window
The maximum amount of text (measured in tokens) that an AI model can process and consider in a single interaction.
Read moreEmbeddings
Numerical representations of text that capture semantic meaning, enabling AI systems to understand relationships between concepts.
Read moreInference
The process of an AI model generating outputs (predictions, text, or decisions) based on input data.
Read moreJSON-LD
JavaScript Object Notation for Linked Data - the preferred format for implementing structured data on websites.
Read moreRobots.txt
A file that tells web crawlers and AI bots which pages they can and cannot access on your website.
Read moreSemantic HTML
HTML markup that uses meaningful tags to describe the structure and content of a webpage, helping AI systems understand context.
Read moreStructured Data
A standardized format (typically JSON-LD) for providing explicit information about page content to search engines and AI systems.
Read moreTokenization
The process of breaking text into smaller units (tokens) that AI models can process and understand.
Read moreVector Search
A search method that finds content based on semantic similarity rather than exact keyword matching.
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