GEO 101Glossary

Concrete recommendation based on monitoring data to improve AI visibility.

Monitoring and measuring mentions and references of your brand or content within AI-generated text.

Indexing robot used by AI companies to collect data intended to train or feed their models.

Google's AI-powered search mode that provides enhanced AI-generated responses.

Broad term for leveraging artificial intelligence to enhance digital performance and visibility.

AI-generated summaries by Google that appear at the top of search results.

Search engine that uses language models to generate conversational responses rather than lists of links.

Alternative term for Generative Engine Optimization focusing on AI-driven search optimization.

Brand's proportion of total visibility across AI platforms compared to the entire market or competitor set.

Web traffic coming from AI platforms like ChatGPT, Perplexity, Claude, or Google AI Overviews.

Measure of the frequency and quality with which a brand appears in responses generated by LLMs.

Automated notification mechanism that triggers when significant changes occur in AI visibility metrics.

Response generated by an LLM in response to a user prompt.

Optimization practice focused on getting content featured in direct answer formats and AI-generated responses.

Application Programming Interface that allows software applications to communicate and exchange data.

Scheduled, recurring surveillance of AI platform responses without manual intervention.

Incoming links from other websites pointing to your site.

Explicit mention of a brand name in content generated by an LLM.

How AI systems describe, characterize, and position your brand in generated responses.

Strategic placement and perception of a brand within competitive AI-generated responses.

Metric measuring how frequently and prominently your brand is mentioned in AI-generated responses.

Common Crawl's web crawler that collects data to create an open repository of web crawl data.

Conversational assistant developed by OpenAI, based on GPT models. One of the most used LLMs in the world.

OpenAI's user-agent identifier for ChatGPT's real-time web browsing feature.

Situation where AI platforms cite competitors' content but not yours for relevant queries.

Percentage of relevant prompts for which your brand or site is cited as a source.

Language model developed by Anthropic, designed to be helpful, harmless, and honest.

Anthropic's indexing robot used to train and improve Claude models.

Comparative analysis of your brand's visibility against competitors in LLM responses.

Appearance of a competitor in an LLM response alongside your brand.

Directness, simplicity, and understandability of content for both humans and AI systems.

Comprehensive and thorough coverage of a topic, addressing multiple aspects and related questions.

Recency and regular update frequency of content, signaling current relevance to AI systems.

Missing or insufficient content that prevents your brand from being cited in relevant AI responses.

Process of improving content to maximize AI visibility, citations, and user value.

Optimization focused on conversational AI interfaces like chatbots and voice assistants.

Natural language queries and questions used in AI search, as opposed to traditional short-form keywords.

Standard or baseline LLM versions available for general use, often with lower cost and broader access.

Ability of a website to be explored efficiently by indexing robots.

Number of times an AI crawler has explored a page or website.

Consumption unit used to execute operations in a GEO platform (answer generation, analyses).

Predictive score of a domain's ability to rank in search results, based on various factors.

Ability of an LLM to identify and understand specific entities (brands, people, places, concepts).

Google's content quality framework emphasizing author credentials, expertise, and trustworthiness.

Structured data format specifically for marking up frequently asked questions and their answers.

The position of a query or user interaction within the customer journey from awareness to purchase, commonly divided into TOFU, MOFU, and BOFU.

Family of language models developed by Google, integrated into its search and AI products.

Metric measuring the frequency and prominence of a source within AI-generated responses.

The set of strategies used to optimize a brand's presence in AI-generated responses.

Alternative term for GEO emphasizing optimization for generative search engines.

Comprehensive evaluation of a website's AI search visibility and optimization opportunities.

Google's crawler specifically used for training Generative AI models, separate from traditional Googlebot.

OpenAI's web crawler used to collect data intended to train GPT models.

Quantified assessment of the expected visibility improvement from implementing a specific optimization.

Classification and understanding of the user's purpose or goal behind a query.

Keyword or query presenting strong visibility potential in LLM responses.

Structured database of entities and their relationships, used by AI systems to understand context.

Artificial intelligence model trained on vast amounts of text to understand and generate natural language.

Alternative term for GEO emphasizing optimization specifically for large language models.

Traffic generated by human users coming from LLM platforms (AI referrers).

Standardized file proposing a structured summary of a site's content to optimize its understanding by LLMs.

Your brand's proportion of total visibility within a specific category or set of queries relative to all competitors.

Open protocol enabling seamless integration between AI applications and data sources.

Automatic and regular surveillance of a brand's presence in LLM responses.

Simultaneous monitoring of brand visibility across multiple AI platform providers.

OpenAI's web crawler used for ChatGPT Search real-time retrieval and indexing.

Detailed analysis of the interaction between AI crawlers, LLM visitors, and a website's pages.

Centralized visual interface displaying key GEO metrics and trends.

Conversational search engine that combines LLM and real-time web search with source citations.

Perplexity AI's web crawler used to index and retrieve content for real-time AI search responses.

Rank or order of appearance of a brand or competitor in an LLM response.

Advanced or enhanced LLM versions offering superior capabilities, often at higher cost or with limited access.

Numerical ranking system that orders recommendations and opportunities by potential impact and effort required.

Insights derived from analyzing how AI systems reference, recommend, and describe specific products.

Question or query asked to an LLM to obtain a generated response.

Continuous monitoring of specific queries (prompts) to measure a brand's visibility in LLM responses.

Collection of tracked queries used to monitor brand visibility across AI platforms.

Company or organization that develops and provides a language model (LLM).

The number of sub-queries or downstream requests that a system issues in response to a single user query.

Recurring structures, themes, and characteristics in how users formulate questions to AI systems.

AI architecture that retrieves relevant information from external sources in real-time before generating responses.

AI-powered system that generates prioritized suggestions for improving GEO performance.

Frequency with which a brand or content is cited or referenced by AI systems, replacing traditional click-through rates.

Source from which a web visitor comes, indicated by the HTTP referer header.

Measure of how pertinent a brand mention or source citation is to a specific prompt or query.

Text file placed at the root of a website to indicate to indexing robots which pages to explore or avoid.

The set of techniques aimed at improving a website's ranking in traditional search engine results.

Emotional tone or attitude expressed in an AI-generated response about a brand (positive, negative, or neutral).

Automated analysis of the tone and connotation (positive, negative, neutral) of brand mentions in AI responses.

Percentage of total brand mentions in a category that belong to your brand compared to competitors.

Signals within queries or responses indicating user readiness to make a purchase decision.

XML file listing all important pages on a website to help crawlers discover and index content.

Reference to a URL or website as a source of information in an AI-generated response.

Domain of a website frequently cited as a source in LLM responses.

Metric measuring how often your website is cited as a source in AI-generated responses with citations.

Standardized markup format (Schema.org, JSON-LD) that helps machines understand the content of a web page.

Specific labels or keywords used to categorize and filter prompts, questions, or content.

Thematic categories or subject areas associated with prompts and content.

Distribution of a page's traffic between AI crawlers, visitors from LLMs, and other traffic.

Identification and tracking of emerging topics, changing patterns, and shifts in AI responses over time.

Search where the user gets the answer directly without clicking on any link.