A comprehensive glossary of generative engine optimization terms, AI engines, and monitoring metrics.
Core Concepts
Answer Engine Optimization (AEO) is the practice of optimizing content to be selected as the direct answer in AI-powered search engines and answer platforms, including Google's featured snippets, voice search, and AI assistants.
Agentic commerce is the emerging paradigm where AI agents autonomously research, compare, recommend, and even complete purchases on behalf of users — representing the convergence of GEO, e-commerce optimization, and AI-powered decision-making.
Agentic search is the next evolution of AI-powered search where AI agents not only retrieve and synthesize information but also take action on behalf of users — making purchases, booking appointments, and completing multi-step tasks.
AI crawler accessibility refers to ensuring that AI search engine crawlers and bots can access, parse, and index website content — a technical prerequisite for appearing in AI-generated search responses.
An AI search engine is a search platform that uses large language models and generative AI to synthesize answers from multiple sources, rather than returning a list of links like traditional search engines.
Content freshness is a ranking and citation signal that refers to how recently content was published or updated, with AI engines strongly favoring current, regularly updated information over stale content.
Content Optimization for LLMs is the practice of structuring, formatting, and writing content to be easily parsed, understood, and cited by large language models in their responses to user queries.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's framework for assessing content quality and credibility, now equally important for AI engines evaluating which sources to cite in AI-generated responses.
Generative Engine Optimization (GEO) is the practice of optimizing content and brand presence to appear in AI-powered search results from engines like ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini.
GEO vs SEO is the comparison between Generative Engine Optimization (optimizing for AI-generated responses) and Search Engine Optimization (optimizing for traditional search engine rankings), highlighting their complementary but distinct strategies, metrics, and outcomes.
llms.txt is a proposed web standard for providing LLM-friendly content summaries and navigation to AI crawlers through a /llms.txt markdown file at a website's root, helping AI models understand and cite website content at inference time.
Structured data is standardized markup (typically Schema.org vocabulary in JSON-LD format) added to web pages to help search engines and AI systems understand the content, relationships, and meaning of page elements.
Topical authority is the perceived expertise of a website or brand on a specific subject matter, demonstrated through comprehensive, interconnected content coverage that signals deep domain knowledge to both search engines and AI platforms.
Wikipedia presence refers to having accurate and comprehensive Wikipedia coverage for your brand, organization, or topic — a critical GEO signal given that Wikipedia constitutes a significant portion of AI training data and is heavily weighted by AI engines as an authoritative source.
AI Engines
AI Overviews are Google Search's AI-generated summaries that appear at the top of search results, synthesizing information from multiple web sources into a single conversational answer with inline citations.
ChatGPT is OpenAI's conversational AI assistant, launched in November 2022. With over 200 million weekly active users, it's the most widely used AI assistant globally and a primary channel for brand discovery through AI search.
Claude is Anthropic's family of large language models, known for nuanced long-form responses, large context windows, and safety-focused design. It's widely used by professionals and enterprises for research, analysis, and content creation.
DeepSeek is a Chinese AI company that produces competitive large language models notable for their cost-efficient training and open-weight releases, with DeepSeek-R1 and DeepSeek-V3 recently emerging as globally significant AI search platforms.
Gemini is Google's family of multimodal AI models powering Google Search AI features, Google Workspace AI tools, and Android AI capabilities. As of 2026, Gemini is the AI model behind Google AI Overviews and increasingly integrated across Google's product ecosystem.
Meta AI is Meta's AI assistant integrated across Facebook, Instagram, WhatsApp, and Messenger, built on the Llama family of open-source large language models and serving billions of users across Meta's social platforms.
Microsoft Copilot (formerly Bing Chat) is Microsoft's AI-powered assistant integrated into Bing search, Edge browser, Windows, and Microsoft 365, combining OpenAI's GPT models with Bing's search index for cited, real-time AI responses.
Perplexity is an AI-powered answer engine that combines real-time web search with large language models to deliver cited, conversational answers with inline source attribution.
Metrics & Terms
AI Share of Voice (AI SOV) measures your brand's visibility across AI-powered search platforms relative to competitors, tracking how often your brand appears in AI-generated responses compared to other brands in your industry.
Brand mentions are references to a brand name in any context — including unlinked mentions — used by AI engines as signals for citation, recommendation, and topic association.
A Brand Visibility Score is a metric that measures how often and how prominently a brand appears in AI-generated responses across large language models like ChatGPT, Perplexity, and Google AI Overviews.
Citation tracking is the practice of monitoring when, where, and how a brand or piece of content is cited in AI-generated responses from large language models like ChatGPT, Perplexity, Google AI, Claude, and Gemini.
An LLM citation is a reference to a specific source (URL, document, or brand) made by a large language model when generating a response to a user query.
Rank tracking is the practice of monitoring a website's position in search engine results for target keywords. In the AI era, rank tracking has expanded to include both traditional blue-link rankings and AI Overview citation positions.
Sentiment analysis is the practice of identifying and categorizing the emotional tone of text — typically as positive, negative, or neutral. In GEO, sentiment analysis measures how AI engines describe and frame your brand in their responses.