GEO Glossary
Last updated: April 17, 2026 · Review schedule: Quarterly
This glossary defines the core terms used across Growthino's resources. Whether you are new to Generative Engine Optimization or deepening your understanding, these definitions will help you navigate the concepts that shape AI visibility.
Agentic RAG
Is a more advanced form of RAG in which AI agents help plan, retrieve, evaluate, and use information across more complex workflows. The term is still evolving, but it generally refers to adding agent-like decision making and tool use to the RAG pipeline.
AI-Generated Answers
In GEO, AI-generated answers are responses created by systems like ChatGPT, Google AI Overviews, Perplexity, Claude, and Copilot that synthesize or retrieve information for the user instead of showing only a list of links.
AI Systems
In GEO, AI systems are AI-powered platforms such as ChatGPT, Google AI Overviews, Perplexity, Claude, and Copilot that interpret user queries and generate, synthesize, or retrieve answers.
Answer Presence
In GEO, Answer Presence measures whether your startup appears inside AI-generated answers for the queries that matter to your category, service, or brand.
Answer Units
In GEO, answer units are the individual pieces of content AI systems can extract, reuse, or cite clearly, such as a definition, a comparison, a step, a statistic, or a question-and-answer pair.
Attribution Quality
In GEO, Attribution Quality evaluates how your startup is credited when cited in an AI answer. Attribution levels range from Named+Link (best) to Named only, Footnote, or None — each reflecting a different degree of visibility and trust.
E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness — Google's quality framework used to evaluate content credibility. In a GEO context, strong E-E-A-T signals increase the likelihood that AI models treat your content as a reliable, citable source.
Enhanced Entity Page
A strategically structured web page designed to serve as a definitive, AI-readable source for a specific entity. It combines structured data, author signals, answer units, and schema markup to maximize the chance of being retrieved and cited by generative AI engines.
Entity
In GEO, an entity is a distinct thing AI systems can recognize and connect to other things, such as a company, founder, product, service, concept, or location. In Google’s Knowledge Graph language, entities are real-world people, places, organizations, and things
Entity Health
In GEO, Faithfulness measures whether AI systems represent your company, service, or content accurately rather than distorting, oversimplifying, or inventing details.
Factual Claim
A specific, verifiable statement within your content — such as a statistic, benchmark, or named result — that AI systems can extract, evaluate for accuracy, and cite as evidence in a generated answer.
Faithfulness
A GEO metric that assesses whether an AI model accurately represents your content when citing it. High faithfulness means the AI's summary or quote preserves the original meaning without distortion or hallucination.
Generative Engine Optimization (GEO)
Is the practice of optimizing your startup’s content, digital presence, and trust signals so it becomes visible, cited, and recommended in AI-generated answers. GEO goes beyond traditional search rankings to focus on visibility inside tools like ChatGPT, Perplexity, and Gemini.
Hand-off Success
In GEO, Hand-off Success measures whether visibility inside AI answers leads the user to a meaningful next step, such as visiting your site, requesting an audit, booking a call, or becoming a lead.
JSON-LD
A lightweight data format used to embed structured data into web pages. JSON-LD helps search engines and AI models understand the meaning, relationships, and context of your content, making it easier to retrieve and cite accurately.
Knowledge Graphs
Structured databases of entities and their relationships used by search engines and AI systems to understand the world. Being well-represented in knowledge graphs increases the probability that AI models recognize and cite your startup.
Knowledge Panel
An information box displayed by Google (and increasingly by AI tools) that summarizes key facts about an entity — such as a brand, person, or organization — drawn from structured data and authoritative sources.
llms.txt
A proposed standard file that websites can use to communicate preferences and context to large language models. Similar to robots.txt for traditional crawlers, llms.txt helps AI engines understand your site's structure and authority.
Research-Intent Queries
Search queries where the user's goal is to learn, compare, or evaluate — rather than navigate to a specific site. These queries are increasingly answered by AI systems, making them a key target for GEO strategy.
Retrieval-Augmented Generation (RAG)
A technique where a language model retrieves relevant external information and uses it to generate a more grounded answer. The core idea is to combine the model’s built-in knowledge with non-parametric external memory.
Schema Markup
Schema markup is structured data added to a page to help machines understand what the page is about and how its key entities and properties are organized. In practice, it usually uses the Schema.org vocabulary and is often implemented in JSON-LD.
Semantic Search
A search approach that interprets the meaning and intent behind a query rather than matching keywords. Semantic search powers how AI models find and retrieve relevant content, making it foundational to GEO.