AI SEO & GEO Glossary:
Essential Terms for Search Marketers

Instances where AI systems reference, cite, or recommend specific brands in their generated responses to user queries.

How AI systems prioritize and order content when generating responses, determining which sources get cited or referenced.

Strategies for optimizing content to appear prominently and accurately in AI-generated responses across different platforms.

Comprehensive measurement of how content and brands perform across AI-powered search engines and platforms.

Metric measuring how often a brand or content appears in AI-generated responses across different platforms and queries.

Content creation approach that prioritizes optimization for AI systems and platforms from the outset.

Specific strategies and techniques for optimizing content to appear in ChatGPT responses and recommendations.

The likelihood that an AI system will cite or reference specific content when generating responses to relevant queries.

The perceived credibility and expertise of specific content pieces or creators, crucial for AI model citation preferences.

Strategic content organization framework grouping related content around central themes to establish topical authority.

Digital marketing strategy focused on optimizing content to maximize visibility and citations in AI-generated responses from large language models.

Alternative term for GEO, focusing on optimizing content for AI systems that generate rather than retrieve search results.

Techniques for optimizing content specifically for large language models to improve citation and reference likelihood.

Web applications using modern technologies to provide app-like experiences through browsers with offline functionality.

The percentage of AI-generated responses that cite or mention a specific source, replacing click-through rate as a key GEO metric.

Comprehensive strategy for optimizing content across all search platforms including traditional search engines and AI systems.

How AI systems reference and link back to original sources of information in their responses, crucial for credibility.

The level of expertise and credibility a website demonstrates on a specific subject, crucial for AI citations and search rankings.

Strategic content creation designed to influence how AI models learn about and represent brands during their training processes.

Google's open-source framework for creating fast-loading mobile web pages with optimal user experience.

Hyperlinks from other websites that serve as votes of confidence and authority in search engine algorithms.

Web analytics metric measuring the percentage of visitors who leave a website after viewing only one page.

Preferred webpage versions that search engines should index and rank when multiple URLs contain similar content.

Metric measuring the percentage of users who click on a link after seeing it, indicating content relevance and appeal.

Google's essential performance metrics measuring loading speed, interactivity, and visual stability for web pages.

Fundamental search engine processes for discovering, analyzing, and storing web content for retrieval in search results.

Moz's scoring system predicting how well a website will rank in search engine results, scaled from 1 to 100.

Duration users spend on a web page after clicking from search results, indicating content quality and user satisfaction.

Google's quality framework evaluating content based on expertise, authoritativeness, and trustworthiness, especially for YMYL content.

SEO approach focusing on optimizing for specific entities (people, places, things, concepts) rather than just keywords.

Selected search results appearing in a special box at the top of Google's search results, designed to answer questions directly.

Free Google service helping website owners monitor, maintain, and troubleshoot their site's search presence.

Process of reducing image file sizes while maintaining quality and implementing proper technical specifications for SEO.

Practice of creating hyperlinks between pages within the same website to improve navigation and SEO authority distribution.

Database storing information in a graph structure, connecting entities, facts, and relationships to power SERP features.

Information box appearing in Google search results providing factual information about entities like people, places, and organizations.

SEO branch focused on optimizing business presence for local and geo-specific searches to attract nearby customers.

Longer, specific keyword phrases with lower search volume but higher conversion intent, crucial for voice search and AI queries.

Google's approach using mobile versions of websites as the primary source for crawling, indexing, and ranking.

Google ranking factor evaluating overall user experience through loading, interactivity, visual stability, and safety metrics.

How quickly web pages load and become interactive, critical for user experience and search engine rankings.

Text file providing instructions to web crawlers about which website pages should or should not be crawled and indexed.

Structured data vocabulary helping search engines understand and display web page content in enhanced search features.

Digital marketing discipline focused on improving website visibility and ranking in search engine results through technical and content-based strategies.

The page displayed by search engines in response to user queries, featuring organic results, ads, featured snippets, and AI overviews.

The underlying purpose or goal behind a user's search query, fundamental to modern SEO and AI optimization.

Search approach focusing on understanding meaning and intent behind queries rather than just matching keywords.

Enhanced search result elements beyond traditional blue links, including featured snippets, knowledge panels, and AI overviews.

All aspects of how users interact with and perceive websites, applications, or digital products.

Strategies and techniques for optimizing video content for search engine discovery, ranking, and user engagement.

Search method enabling users to search by speaking rather than typing, crucial for SEO and GEO strategies.

SEO practice optimizing content for voice-activated search queries through smart speakers and virtual assistants.

Structured files providing search engines with a roadmap of important website pages for efficient crawling and indexing.

Google's classification for content that could impact users' health, financial stability, safety, or well-being.

Search queries where users get answers directly from the results page without clicking through to any website.

Technologies identifying whether content has been generated by AI systems rather than created by humans.

When AI systems generate plausible but false information, highlighting the importance of fact-checking and verification.

AI-generated summaries that appear at the top of Google search results, providing comprehensive answers by synthesizing information from multiple sources.

Search engines and systems using artificial intelligence to understand queries and provide conversational, contextual results.

Vast amounts of text, images, and content used to train large language models and AI systems for GEO strategies.

AI safety company founded by former OpenAI researchers, known for creating Claude with constitutional AI principles.

Google's NLP algorithm revolutionizing search understanding of context and nuances in human language queries.

AI chatbot developed by OpenAI based on large language models, popular for answering questions and generating content.

AI assistant developed by Anthropic, designed to be helpful, harmless, and honest with strong reasoning capabilities.

The maximum amount of text an AI model can process and remember during a single conversation or interaction.

Search interaction using natural language, follow-up questions, and context from previous queries, powered by AI.

Numerical vector representations of content that capture semantic meaning and relationships for AI processing.

Google's advanced multimodal AI model powering AI Overviews and various Google services, capable of understanding text, images, and code.

AI systems trained on vast amounts of text data to understand and generate human-like language, powering chatbots and search engines.

AI subset enabling systems to learn and improve from experience, powering search algorithms and content understanding.

AI branch enabling computers to understand, interpret, and generate human language for search engines and content systems.

Leading AI research company founded in 2015, known for creating GPT models, ChatGPT, and advancing artificial general intelligence.

AI-powered search engine providing direct answers by searching the web in real-time and synthesizing information from multiple sources.

Practice of designing and optimizing input prompts to achieve desired outputs from AI language models and systems.

AI architecture combining language models with real-time information retrieval to provide current, cited information.

Google's machine learning AI system processing search results and understanding query meaning, especially for new or ambiguous queries.

Search providing up-to-date information by accessing current web content, news, and data sources beyond training data.

Fundamental units of text that AI models process, representing pieces of words, whole words, or special characters.

Semantic search method finding information based on meaning and context rather than exact keyword matches.