AI Search Glossary
Whether you call it GEO, AIO or LLM-O, this AI Search glossary for marketers will help you learn the generative search terminology that matters most. And we’ll let you know when the industry agrees on a name.
A
AI (Artificial Intelligence)
Technology that enables machines to mimic human intelligence. It transforms how businesses operate and customers interact with brands through intelligent automation and personalized experiences.
AI Benchmarks
Performance standards that measure how effectively AI models accomplish specific tasks compared to other models, helping marketers evaluate and compare different AI tools.
AI Overviews
Google's AI-powered search feature that generates instant answers by summarizing information from multiple websites, fundamentally changing how users discover and consume content.
B
C
ChatGPT
OpenAI's breakthrough conversational large language model (LLM) chatbot that sparked the current AI revolution, fundamentally changing how people search for information and interact with digital content.
Claude
An advanced large language model (LLM) developed by Anthropic that's reshaping how search marketers approach content creation and optimization strategies.
Common Crawl
A massive, publicly accessible archive of web data that provides researchers and developers with insights into internet trends, website structures, and digital content patterns.
Copilot
Microsoft's conversational AI assistant, deeply integrated with Bing search. It leverages LLMs and sources information directly from the web. Copilot in Bing was the first major search engine to use "grounding" for AI search.
D
E
F
G
GPT (Generative Pre-Trained Transformer)
The foundational architecture that powers many modern large language models (LLMs), revolutionizing how machines understand and generate human-like text across countless applications.
Gating
A smart routing system in AI that automatically directs different types of inputs to specialized sub-models or "experts" that are best equipped to handle each specific task. This makes AI systems more efficient and accurate.
Gemini
Google's multimodal AI system that can understand and generate text, images, audio, and video. Gemini's capabilities significantly affect how Google understands and ranks content, requiring search marketers to adapt their strategies.
H
I
J
K
Keyword Research
The process of identifying the terms people use to search for information. While still important, keyword research is evolving as search becomes more conversational and entity-based.
L
LLM (Large Language Model)
Sophisticated AI systems trained on vast text datasets to understand and generate human-like language. LLMs have revolutionized search and content creation in digital marketing.
LLM.txt
A proposed web standard that lets website owners tell AI models what content they should use.
M
Machine Learning
AI that learns from data rather than following pre-written rules. It's the engine behind everything from search rankings to automated ad bidding.
Mention
When an AI chatbot or research tool references a brand or website without linking to it. Mentions are great for visibility, but they may not drive traffic.
Mixtral
An open-source language model from Mistral AI that uses Mixture of Experts architecture to deliver strong performance while remaining freely accessible.
N
O
P
Parameters
The internal settings learned during AI training that determine how a model processes information and generates responses.
Perplexity
An AI-powered answer engine that provides direct responses to questions with sources and citations.
R
S
T
Tokenization
How AI models break down text into smaller pieces (tokens) they can process. Understanding this helps optimize AI tool usage.
Training Data
The information used to teach AI models how to perform tasks. Quality training data directly impacts AI reliability and accuracy.
U
V
W
X
Y

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