AI Visibility Glossary

The practice of optimizing content to improve visibility and citations in AI-powered search engines and chatbots like ChatGPT, Gemini, and Claude. GEO focuses on making content more likely to be referenced by AI models when answering user queries.

The measure of how often and prominently your brand, website, or content appears in AI-generated responses. High AI visibility means your content is frequently cited by AI models when answering relevant queries.

Instances where your brand, product, or content is referenced by AI models in their responses. Tracking AI mentions helps understand your visibility in AI-powered search results.

The process of optimizing content structure, schema markup, and formatting to increase the likelihood that AI models will cite your content as a source when answering questions.

Code added to web pages that helps search engines and AI models understand the content better. Common formats include JSON-LD, which can improve AI visibility by providing clear context about your content.

In AI visibility, share of voice measures what percentage of AI responses mention your brand compared to competitors. A higher share of voice indicates stronger AI visibility.

Structured data markup using Schema.org vocabulary that helps search engines and AI models understand your content. Common types include Organization, Article, FAQPage, and Product schemas.

JavaScript Object Notation for Linked Data - a method of encoding structured data in JSON format. It's the recommended format for schema markup and helps AI models understand your content structure.

Search engine optimization specifically for AI-powered search engines. Unlike traditional SEO focused on ranking in SERPs, AI SEO focuses on getting cited in AI-generated responses.

The process of analyzing how competitors perform in AI search visibility, including their share of voice, citation frequency, and optimization strategies.

Search platforms powered by artificial intelligence that generate direct answers to user queries rather than returning lists of links. Examples include ChatGPT, Google's Gemini, Claude, Perplexity, and Microsoft Copilot.

A text file placed at the root of a website (similar to robots.txt) that provides information about the site for AI models and LLMs. It helps AI systems understand your content structure and preferred citation format.

A standardized file format that provides metadata about your website for AI crawlers. It helps AI models understand your content, preferred citation style, and how to properly reference your site.

The rate at which your website or brand is mentioned in AI-generated responses. Higher citation frequency indicates stronger AI visibility and brand authority in AI search environments.

How clearly your brand, organization, or product is defined and understood by AI models. High entity clarity is achieved through proper schema markup, consistent branding, and clear About pages.

Elements that indicate your website's credibility and authority to AI models. These include outbound citations to authoritative sources, proper schema markup, HTTPS, and comprehensive, well-researched content.

How recently your content was updated or published. AI models often prefer current, up-to-date information. Regularly updating content signals freshness and can improve AI visibility.

How easily AI models can discover, access, and understand your website content. Good crawlability requires proper sitemaps, clear site structure, fast loading times, and accessible content formats.

The practice of optimizing your content to match common user prompts that AI models receive. This involves understanding how users phrase questions and ensuring your content directly answers those queries.