Official GazeSEO Resource

The Ultimate AI SEO Glossary

Master the terminology of generative search engines. From AEO to Vector Databases, explore the definitive dictionary for modern marketing teams.

A

AEO (Answer Engine Optimization)

The process of optimizing content to be referenced by AI-powered answer engines like ChatGPT, Perplexity, and Google's AI Overviews, rather than just traditional search engine results pages.

AI Overviews (SGE)

Google's AI-generated answers that appear at the top of search results, formerly known as Search Generative Experience. They synthesize information from multiple sources to directly answer user queries.

AI Visibility

How often and how prominently a brand shows up in AI-generated answers, chatbots, AI Overviews, and answer engines, across the queries relevant to its business.

B

Brand Voice

The consistent tone, vocabulary, and personality a company uses across all its content, so blog posts, social captions, and support replies all sound like they came from the same source.

C

Citation Rate

The frequency at which an AI model references your brand or content as a source when answering queries related to your industry or keywords.

Content Optimization

The practice of refreshing existing content, improving structure, keywords, and clarity, so a published page ranks higher and performs better without a full rewrite.

Content Strategy

The overarching plan for what content to create, for whom, and why, mapping topics, formats, and publishing cadence to business and search goals before a single word gets written.

E

EEAT

Experience, Expertise, Authoritativeness, and Trustworthiness. A framework used by Google's quality raters to evaluate the credibility of content and its creator.

Entity SEO

A search optimization approach focusing on context, relationships, and concepts (entities) rather than just exact-match keywords. It helps AI models understand what your brand actually is.

G

Generative AI

A type of artificial intelligence that can create new content—such as text, images, or code—based on the data it was trained on.

GEO (Generative Engine Optimization)

The practice of optimizing content so it gets surfaced, summarized, and cited by generative AI engines like ChatGPT, Perplexity, and Google's AI Overviews, rather than only ranking in traditional search results.

H

Hallucination

When an AI model generates false, misleading, or illogical information but presents it as factual.

K

Knowledge Base

A structured repository of factual information about your company, products, and industry that AI agents can securely access to generate accurate responses.

Knowledge Graph

A network of real-world entities (objects, events, situations, or concepts) and the relationships between them, used by search engines to understand search intent.

L

LLM (Large Language Model)

A type of AI algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate, and predict new content.

LLM SEO

An emerging discipline focused on optimizing content and site structure so large language models can accurately find, understand, and cite a brand when generating answers, covering technical readiness (llms.txt, schema, crawlability) as well as content clarity and authority signals.

llms.txt

A standardized text file placed in a website's root directory that provides clean, markdown-formatted information specifically designed for AI agents and LLMs to read.

N

Natural Language Processing (NLP)

A branch of AI that helps computers understand, interpret, and manipulate human language.

P

Perplexity

An AI-powered search engine that uses conversational AI to answer queries by searching the web in real-time and providing citations for its claims.

Prompt Engineering

The practice of designing and refining inputs (prompts) to AI models to elicit specific, high-quality responses.

R

RAG (Retrieval-Augmented Generation)

An AI framework that improves the quality of LLM responses by grounding the model on external sources of knowledge (like a company's database) before generating a response.

S

Schema Markup

Microdata added to a webpage's HTML that helps search engines and AI bots better understand the context and relationships of the content on the page.

Search Intent

The primary goal a user has when typing a query into a search engine. Optimizing for intent is crucial for both traditional SEO and AEO.

Semantic Search

A search technique that improves accuracy by understanding the searcher's intent and the contextual meaning of terms, rather than just matching keywords.

SEO Writing

Writing content that's structured and worded to rank in search results and satisfy reader intent at the same time, balancing keyword usage with natural, useful prose.

V

Vector Database

A database that stores data as high-dimensional vectors. It is essential for AI systems to perform semantic searches and power RAG applications.

Z

Zero-Click Search

A search query whose answer is displayed directly on the results page (often via AI Overviews or featured snippets), meaning the user doesn't click on any external links.

FAQs

Glossary FAQs

Quick answers about the terms marketers ask us most.

It is a reference for the terminology behind modern search: traditional SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). Use it to get up to speed on terms like RAG, Knowledge Graph, or llms.txt without digging through vendor docs.