AI Citability
The degree to which your content is structured and written in a way that makes it easy for AI models to extract, cite, and attribute as a source.
AI Overview
Google's AI-generated summaries that appear at the top of search results, providing direct answers to queries using information from multiple sources.
AI Visibility Score
A composite metric measuring how prominently your brand appears across AI-generated answers, combining mention rate, recommendation rate, citation rate, and sentiment.
Citation Rate
The percentage of AI responses that explicitly cite (link to) your website or content as a source. Higher citation rates indicate stronger source authority.
Competitor Mention Analysis
The process of tracking which competitors are mentioned alongside or instead of your brand in AI-generated responses.
Content Gap (AI)
Topics or queries where competitors are cited by AI models but your brand is not — representing opportunities for targeted content creation.
E-E-A-T (for AI)
Experience, Expertise, Authoritativeness, and Trustworthiness — the traditional SEO quality signals that also influence how AI models evaluate and cite sources.
Engine Coverage
The breadth of AI models and engines (ChatGPT, Gemini, AI Overviews, etc.) where your brand appears, ensuring visibility across the entire AI search ecosystem.
Fanout Queries
Related questions that users who search for a topic likely also ask AI models — used for comprehensive prompt testing and content strategy planning.
Generative Engine Optimization (GEO)
The practice of optimizing your website and content to be cited, mentioned, and recommended by AI-powered search engines and language models like ChatGPT, Gemini, and Google AI Overviews.
GEO Health Score
An overall metric assessing the maturity and effectiveness of your GEO strategy, based on citation rates, source diversity, engine coverage, and competitive positioning.
Mention Rate
The percentage of relevant AI-generated responses that mention your brand by name, whether positively, neutrally, or in a comparative context.
Prompt Testing
The systematic process of querying AI models with relevant prompts to measure how and whether your brand appears in the generated responses.
RAG (Retrieval-Augmented Generation)
The technique used by AI models to retrieve relevant documents from a knowledge base before generating a response, making source optimization critical for visibility.
Recommendation Rate
The percentage of AI responses that actively recommend your brand or product as a solution, which is the strongest form of AI visibility.
Schema Markup (for AI)
Structured data added to web pages that helps AI models understand and extract specific information, improving the chances of being cited in AI responses.
Sentiment Score
A metric measuring the tone (positive, neutral, or negative) of how AI models describe your brand when mentioned in their responses.
Share of Voice (AI)
Your brand's proportion of mentions in AI-generated responses compared to competitors for a given set of topics or queries.
Source Authority
The perceived trustworthiness and relevance of a source from the perspective of AI models. Sources with high authority are cited more frequently in AI responses.
Source Intelligence
The analysis of which external sources (websites, articles, databases) AI models use when generating responses, and how to become one of those trusted sources.