Generative Engine Optimization terms, defined.

AI Citations

References that AI engines surface alongside generated answers, linking the user back to the source page.

AI Crawler Access

Whether AI engines' web crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) are allowed to fetch your content via robots.txt.

AI Hallucination

When an AI model generates confident but false or unsupported information, the failure mode that source grounding and citation are designed to reduce.

AI Mode

Google's conversational generative-search experience that answers multi-part questions with a synthesized, source-cited response, beyond AI Overviews.

Anchor Text

The visible, clickable text of a hyperlink, a strong signal about the linked page's topic for both search and AI engines.

Answer Engine Optimization (AEO)

Optimizing content for direct-answer surfaces (featured snippets, voice assistants, and AI-generated answers) rather than the traditional ranked list of links.

Brand Mention

A reference to your brand in third-party content, even without a backlink, a signal AI engines use to gauge entity importance.

Canonical URL

The preferred, authoritative version of a page declared via rel=canonical, telling search and AI engines which URL to index and cite when duplicates exist.

Citable Claim

A self-contained, factual, attributable statement in your content that an AI engine can extract and quote verbatim.

Citation Share

The fraction of AI-generated answers on a topic that cite your domain as a source.

ClaudeBot

Anthropic's web crawler, which fetches public content for use in Claude's training and live retrieval features.

Content Chunking

Splitting a page into smaller self-contained passages that retrieval systems embed and match against queries, the unit an AI actually retrieves and cites.

Content Cluster

A group of interlinked pages on a single topic (typically a pillar plus spokes) that together establish a domain as authoritative on that topic.

Content Freshness

How recently a page was published or updated, a signal search and AI engines weigh more heavily for time-sensitive queries when choosing what to cite.

Core Web Vitals (CWV)

Google's page-experience metrics, LCP (loading), INP (interactivity), and CLS (visual stability), that feed ranking and, indirectly, AI-source selection.

Crawl Budget

The number of URLs a search or AI crawler will fetch from your site in a given window, finite, so wasted crawls delay indexing of the pages that matter.

E-E-A-T

Experience, Expertise, Authoritativeness, and Trustworthiness, Google's framework for evaluating content quality, especially in YMYL (your-money-your-life) topics.

Entity Cluster

A group of related pages that collectively establish topical authority around a named entity (a product, concept, person, or place).

Entity Disambiguation

Determining which real-world entity an ambiguous name refers to, so AI systems attribute content to the correct person, product, or organization.

FAQPage Schema

JSON-LD that marks a page as a list of question-answer pairs, making it eligible for rich-result expansion in search and improving AI extraction.

Featured Snippet

A boxed answer at the top of Google's results, extracted directly from a high-ranking page, historically the predecessor to AI Overviews.

Generative Engine Optimization (GEO)

The practice of optimizing content so AI engines like ChatGPT, Perplexity, Claude, and Google AI Overviews cite it inside generated answers.

Google AI Overviews

Google Search's generative answer surface, which composes a synthesized response from multiple cited sources at the top of the SERP.

Google-Extended

A robots.txt token that controls whether your content trains and grounds Google's Gemini models, without affecting normal Search indexing.

GPTBot

OpenAI's web crawler, which fetches public content for use in ChatGPT training and retrieval.

Grounding

Tying an AI model's answer to verifiable external sources so the response reflects real, citable data instead of the model's memory alone.

Hub-and-Spoke

An information architecture pattern where a central hub page (pillar) is surrounded by linked spoke pages, the structural shape of a content cluster.

IndexNow

A protocol jointly run by Microsoft Bing and Yandex that lets sites push new and updated URLs to search engines instantly, instead of waiting for a crawl.

Internal Linking

Hyperlinks between pages on the same domain, a primary mechanism for distributing authority and helping AI engines traverse topical clusters.

Internal PageRank

The within-site distribution of authority via internal links, what each page "earns" from how often, and from where, it's linked across the same domain.

JSON-LD

JavaScript Object Notation for Linked Data, the recommended format for embedding schema.org structured data in web pages.

Keyword Cannibalization

When multiple pages on the same domain target the same keyword, splitting traffic and ranking signals across pages instead of consolidating into one strong result.

Knowledge Graph

A structured representation of real-world entities and their relationships, used by Google, AI engines, and other systems to disambiguate and reason about content.

llms.txt

An emerging convention (a single markdown file at /llms.txt) that helps AI engines understand a site's structure and identify high-value pages.

Microsoft Copilot (Copilot)

Microsoft's AI answer engine in Bing and Windows, which generates cited answers from Bing's search index, the index IndexNow pings directly.

Named Entity Recognition (NER)

A natural language processing technique that identifies and classifies named entities (people, organizations, products, locations) within text.

OAI-SearchBot

OpenAI's crawler that surfaces and cites websites in ChatGPT search results, distinct from GPTBot (training) and ChatGPT-User (live fetches).

Passage Indexing

A search engine's ability to retrieve and rank a single relevant passage from a page independently of the page's overall topic.

PerplexityBot

Perplexity's web crawler, which fetches public content for use in Perplexity's answer engine.

Pillar Article

A comprehensive, long-form article that serves as the canonical reference on a topic and anchors a cluster of supporting pages.

Query Fan-Out

A technique where an AI engine rewrites a single user query into multiple related queries, retrieves results for each, and synthesizes a combined answer.

Retrieval-Augmented Generation (RAG)

A pattern where an AI model retrieves relevant documents at query time, then generates an answer grounded in them, the architecture behind most AI search engines.

Rich Result

An enhanced search result with extra visual elements (ratings, images, prices, FAQ accordions, breadcrumbs) triggered by structured-data markup on the page.

Schema Markup

Structured data (usually JSON-LD) that labels content so search engines and AI engines can extract its meaning programmatically.

Search Intent

The underlying goal behind a search query (informational, navigational, transactional, or commercial-investigation) that determines what content satisfies it.

Semantic Search

Search that matches by meaning rather than exact keyword overlap (typically backed by vector embeddings) and the retrieval layer most AI engines rely on.

SERP Feature

Any non-traditional result on a SERP (featured snippet, knowledge panel, People Also Ask, image pack, AI Overview) that occupies premium screen space.

Share of Voice

The percentage of AI-generated answers in your category that mention your brand, relative to competitors.

Snippet Answer

A 2-3 sentence summary near the top of an article, written so an AI engine can quote it verbatim as a direct answer.

Speakable Schema

A schema.org property that flags which parts of a page are best suited to be read aloud by voice assistants.

Structured Snippet

A search result format that displays a list or table extracted from the source page, often used for specs, comparisons, and feature lists.

Topical Authority

The depth and breadth of a domain's coverage of a subject area, a key signal AI engines use to decide which sources to cite.

Vector Embedding

A numerical representation of text in high-dimensional space, where similar meanings sit close together, the data structure behind semantic search and AI retrieval.

Voice Search

Search initiated by spoken queries (typically via smart speakers, phones, or in-car assistants) which surfaces a single voiced answer instead of a SERP of links.

Zero-Click Search

A search that's answered directly on the results page (or inside an AI-generated answer) without the user clicking through to any website.