AI Search Visibility Glossary
Key terms in GEO, AI SEO, and AI search visibility — explained in plain language.
AEO (Answer Engine Optimization)
The practice of optimizing content to appear in AI-generated answers. Used interchangeably with GEO. Some practitioners prefer AEO to emphasize the 'answer engine' framing.
Learn more →AI Citeability
How likely an AI engine is to extract, quote, and attribute content from your page in its response. Determined by content structure, fact density, source attribution, and quotable passages.
Learn more →AI Crawler
A bot that retrieves web content for AI systems. Examples: GPTBot (OpenAI training), OAI-SearchBot (ChatGPT search), PerplexityBot (Perplexity indexing), ClaudeBot (Anthropic). Blocking these in robots.txt makes your content invisible to the respective AI engine.
Learn more →AI Overviews
AI-generated summaries that appear at the top of Google search results, powered by Gemini. Appear on ~13% of U.S. searches. Sources are pulled from Google's existing index, so traditional SEO factors matter more here than for ChatGPT or Perplexity.
Learn more →AI Readiness Score
A 0-10 weighted score measuring how well a page is structured for AI citation. Calculated from 6 scored branches (Indexability, Snippet & CTR, Intent & Value, Trust & E-E-A-T, Schema, AI Citeability) plus a Red Team risk layer.
Learn more →AI Search Visibility
Whether AI systems (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude) can find, understand, and cite your content. Distinct from traditional SEO visibility — a page can rank #1 on Google and be invisible to AI.
Learn more →Answer Capsule
A 40-60 word self-contained paragraph that directly answers a question without requiring surrounding context. The primary unit AI systems extract for citations. Opens with a declarative statement, contains no unresolved pronouns.
Learn more →Content Extractability
How easily AI can isolate quotable passages from your page content. Self-contained paragraphs (40-80 words) with specific claims are 65% more likely to be cited than dense, interconnected prose.
Learn more →E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness — Google's content quality framework. For AI search, E-E-A-T signals must be machine-readable (Person schema, Organization schema, author credentials) rather than just implied by writing quality.
Learn more →Entity Graph
A connected set of schema.org entities (Person, Organization, Article) linked via @id references. Allows AI to verify: this article was written by [author], who works at [organization], and was published on [date].
Learn more →GEO (Generative Engine Optimization)
The practice of optimizing web content so AI search engines cite it in their responses. Covers content structure, schema markup, trust signals, crawler access, and citation safety. Distinct from traditional SEO.
Learn more →GEO Audit
An analysis of a specific web page against AI citation readiness factors. A full GEO audit checks 120+ factors across 7 dimensions: Indexability, Snippet & CTR, Intent & Value, Trust & E-E-A-T, Schema, AI Citeability, and Red Team Risk.
Learn more →GPTBot
OpenAI's web crawler used for model training. Blocking GPTBot in robots.txt prevents training but does NOT affect ChatGPT search citations (that uses OAI-SearchBot). Often confused with OAI-SearchBot.
Learn more →Hallucination Trigger
Content patterns that increase the likelihood of AI misattributing or misquoting your content. Includes: ambiguous claims, unsourced statistics, vague temporal references, and name collisions.
Learn more →OAI-SearchBot
OpenAI's web crawler used specifically for ChatGPT search citations. Unlike GPTBot (training), blocking OAI-SearchBot prevents ChatGPT from citing your pages in search results.
Learn more →PerplexityBot
Perplexity AI's web crawler. Unlike ChatGPT, Perplexity crawls in real-time for every query. Blocking PerplexityBot = total invisibility in Perplexity answers. Many sites block it accidentally via Cloudflare defaults.
Learn more →RAG (Retrieval-Augmented Generation)
The process AI engines use to search the web, retrieve relevant passages (typically 130-160 words), and generate answers from them. Understanding RAG helps explain why content structure matters for citation.
Red Team Analysis
An adversarial audit layer that stress-tests a page for risks the main scoring branches might miss. Checks for YMYL concerns, hallucination triggers, and harmful content flags. Unique to AI Search Visibility's audit system.
Learn more →Schema Markup
Structured data (typically JSON-LD) added to web pages to help search engines and AI understand the content. Key types for AI: Article (freshness), Person (authorship), Organization (brand identity), FAQPage (Q&A pairs).
Learn more →YMYL (Your Money Your Life)
Content that could affect users' health, financial wellbeing, safety, or major life decisions. AI engines apply stricter citation criteria to YMYL content — requiring stronger E-E-A-T signals, source attribution, and risk disclosures.
Learn more →Missing a term?
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