Core terms for understanding and measuring Answer Engine Optimization, maintained by AEO Wrangler.
AEO Readiness is an assessment of how prepared a company's messaging, content, and technical foundation are to earn visibility in AI-generated answers. A company with high AEO Readiness has clear positioning, structured content, schema markup, and third-party validation in place. Low readiness means AI platforms lack the signals needed to recommend the company confidently.
Read full definition →The discipline of making a company findable, credible, and citable in AI search engines including ChatGPT, Gemini, Claude, and Perplexity. AEO rewards consistent messaging, genuine expertise, structured content, and earned authority rather than keyword manipulation or technical shortcuts.
Read full definition →An authority signal is any piece of evidence that AI platforms use to assess whether a company is a credible, trustworthy source worth citing or recommending. Authority signals include third-party citations, review platform presence, structured schema markup, consistent entity representation, and original published research.
Read full definition →The Digital Trust Stack is the set of signals AI platforms use to assess whether a company is credible and worth recommending. It includes website authority, third-party mentions, structured data, review platform presence, and consistent messaging across sources. Companies must earn each layer; no single signal is sufficient on its own.
Read full definition →A modular answer block is a self-contained unit of content designed to answer a single question completely without requiring surrounding context. AI platforms favor this format because the answer can be extracted and cited cleanly. Modular answer blocks are the structural building block of AEO-optimized content.
Read full definition →A prompt map is a structured inventory of the questions buyers ask AI tools when researching a problem, category, or vendor. By organizing these questions into themes, marketers can identify where to create content that earns AI citations. A prompt map is the AEO equivalent of a keyword map in traditional SEO.
Read full definition →Search Engine Optimization (SEO) is the practice of improving a website's visibility in traditional link-based search results. In the context of AEO, SEO remains a relevant foundation: the authority signals, structured content, and technical hygiene that support strong SEO rankings also contribute to AI search visibility, though the two disciplines have meaningfully different optimization targets.
Read full definition →A zero-click outcome occurs when a user gets the information they need directly from an AI-generated answer or search result, without clicking through to any website. For marketers, zero-click is not a failure state. Being the source AI draws from is itself a visibility and authority signal.
Read full definition →A baseline AEO analysis is a structured measurement of a company's current AI search visibility before any optimization work begins. It captures Inclusion Rate, Citation Rate, and Share of Answer across a defined prompt set and provides the starting point against which all future AEO progress is measured.
Read full definition →A measure of how often a company is mentioned in AI-generated responses to commercially relevant prompts in its market. Share of Answer is the AEO equivalent of share of voice: it tracks competitive presence across the prompts that matter most to a company's buying audience.
Read full definition →The difference between a company's visibility in open discovery prompts (where no vendor is named) and named evaluation prompts (where the company is specifically asked about). A large negative gap indicates the company's AI visibility depends on being named rather than being earned organically.
Read full definition →The percentage of prompts where a company is explicitly cited as a source in the AI-generated response. Citation Rate measures a deeper level of AI visibility than Inclusion Rate: the model is not just mentioning the company but attributing information to it as a credible source.
Read full definition →The percentage of prompts in a defined prompt set where a company is mentioned by name in the AI-generated response. Inclusion Rate is the baseline AEO metric: it measures whether a company is part of the conversation at all, before measuring how prominently it appears.
Read full definition →Pretraining web corpora are the large-scale collections of publicly available internet text used to train foundational AI models on language patterns, knowledge, and context before any task-specific tuning occurs. What appears in these corpora shapes what AI models know about companies, industries, and concepts at the foundational level.
Read full definition →Structured knowledge graphs organize entities and their relationships in machine-readable formats, including schema markup, graph databases, and linked data, enabling AI systems to understand how concepts connect beyond what narrative text alone can convey.
Read full definition →FAQPage schema is structured markup that identifies a page as containing official question-and-answer pairs. It makes it easier for search engines and AI systems to extract and reference specific answers, increasing the likelihood that your content is cited when a relevant question is asked.
Read full definition →DefinedTerm schema is structured markup added to a webpage that explicitly tells search engines and AI systems that the page defines a specific term. It is the single highest-value schema type for glossary pages, signaling to AI platforms that your definition is authoritative and citable.
Read full definition →Retrieval-Augmented Generation (RAG) is a technique that enhances AI responses by retrieving relevant external information in real time, grounding answers in current and authoritative sources rather than relying solely on training data. For AEO, RAG means that well-structured, authoritative content on the open web can directly influence AI-generated answers.
Read full definition →Model Context Protocol (MCP) is an open standard that allows AI models to connect to external tools, databases, and data sources in real time during a conversation. Developed by Anthropic and adopted by a growing number of AI platforms, MCP may change how AI visibility is earned by enabling answers built from live structured data rather than indexed web content.
Read full definition →AI Overview is a feature in Google Search that generates an AI-produced summary at the top of search results. Because AI Overviews are powered by the same underlying signals as Google Gemini, optimizing for Gemini AEO and optimizing for AI Overviews are effectively the same effort.
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