Reference
GEO & AI Search Glossary
Plain-English definitions of every term you'll encounter in Generative Engine Optimization, AI search visibility, and answer-engine optimization. Sourced from working audit practice, not academic guesswork.
- AEO (Answer Engine Optimization)
- The practice of structuring content so AI engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews can extract direct answers and cite your business. AEO is the citation-focused subset of GEO; where GEO covers the full discoverability layer (entity, schema, technical, trust), AEO is specifically about being the answer named in the response.
- Agentic Web
- The emerging layer of the internet where AI agents (not humans) browse, evaluate, and act on web content on behalf of users. Includes ChatGPT's web browsing, Perplexity's agentic queries, autonomous research agents, and tool-calling APIs like MCP. Different optimization signals than the human-browsable web.
- AI Crawlers
- Bots operated by AI companies that crawl the web to build training corpora and to fetch live content for AI responses. Major ones include GPTBot (OpenAI), ChatGPT-User (live ChatGPT browsing), Google-Extended (Google AI training), PerplexityBot (Perplexity), ClaudeBot (Anthropic), and Applebot-Extended (Apple Intelligence).
- AI Overviews
- Google's AI-generated answer block that appears at the top of search results for many queries. Pulls from a curated set of cited sources. Different ranking inputs than traditional Google results.
- AI Visibility
- The umbrella term for whether and how your business appears in AI-generated answers across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and other answer engines. Measured by citation rate, share of model, and answer position.
- Answer Architecture
- The structural pattern of a web page that makes it easy for AI extractors to pull direct answers. Includes direct-answer-in-first-150-words, FAQ sections with FAQPage schema, question-format headings (H2/H3 phrased as real questions), numbered-step blocks, and explicit definition blocks.
- Citability Format
- The on-page structural format of content optimized for AI extraction. The four highest-impact formats: comparison tables, numbered-step how-tos, explicit definition blocks, and FAQ sections with FAQPage schema. Pages without any of these are extractable but harder to cite.
- Citation Rate
- The percentage of queries on a given AI platform that returned your business as a cited source. Measured per platform (Perplexity, ChatGPT, Gemini, Claude) and per query category (branded, commercial intent, informational, comparison). The single most direct AI visibility KPI.
- Citation Readiness
- One of the two layers in Avante Visibility's GEO scoring model. Measures how well your content is structured to be cited once an AI engine finds it. 60% weight in the overall score. Subcategories: Answer Architecture, Content Depth, E-E-A-T Signals, Brand Authority, Citability Format, Trust Signals, Platform Landing Pages, Earned Media, Multimodal.
- Crawler Access
- Whether AI crawlers are explicitly allowed in your robots.txt. The baseline requirement for any AI engine to use your site as a citation source.
- E-E-A-T
- Experience, Expertise, Authoritativeness, and Trustworthiness. A framework from Google's Search Quality Rater Guidelines that AI engines also reward via similar signals: author bylines, credentials, publication dates, Person schema, and verifiable third-party validation. Not a direct ranking factor; an explanatory framework.
- Entity Graph
- The network of relationships between your business as an entity (Organization), the people associated with it (Person), what it offers (Service, Product), and how it connects to external sources (sameAs links). Built through JSON-LD schema. AI engines use the entity graph to disambiguate your business from others with similar names.
- GEO (Generative Engine Optimization)
- The practice of optimizing a business's online presence so generative AI engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude) cite the business when users ask buying-intent questions. Distinct from SEO in measurement, content format, and trust signal inputs. Additive to SEO, not a replacement.
- GEO Audit
- A structured evaluation of how visible a business is across AI search platforms. Includes live AI query testing, structured-data audit, entity-graph analysis, competitor benchmarking, and a prioritized fix roadmap.
- GEO Score
- Avante Visibility's 100-point internal scoring model for AI visibility. Combines 40% Search Eligibility and 60% Citation Readiness across 18 subcategories. Not an official AI platform score — an internal benchmarking framework that surfaces relative strength and weakness.
- JSON-LD
- JavaScript Object Notation for Linked Data. The structured-data format Google recommends and AI engines most reliably parse. Embedded in HTML as a <script type="application/ld+json"> block. The dominant schema implementation format in 2026.
- LLM (Large Language Model)
- The underlying AI model class powering ChatGPT, Claude, Gemini, and similar systems. Trained on large text corpora; produces natural-language responses. Distinct from AI search engines, which combine LLMs with live web retrieval.
- llms.txt
- A community-standard plain-text file at /llms.txt that describes a site's content for AI models. Modeled on robots.txt but for content discovery rather than crawl permission. As of 2026, no major AI platform has publicly confirmed they parse it; treated as a low-cost speculative signal.
- MCP (Model Context Protocol)
- An emerging standard for AI agents to discover and call external tools and resources via a /.well-known/mcp.json manifest. Enables agentic-web workflows where AI agents can invoke specific endpoints (e.g., booking, search, scoring) on behalf of users.
- Person Schema
- A JSON-LD entity (@type: Person) describing an individual — name, jobTitle, credentials, sameAs links to LinkedIn/X, and authorship of content. A core E-E-A-T signal AI engines reward.
- Search Eligibility
- One of the two layers in Avante Visibility's GEO scoring model. Measures whether AI engines can find, access, and parse your content at all. 40% weight in the overall score. Subcategories: Indexability, Crawl Access, Snippet Controls, Freshness, Schema Integrity, Technical Health, Entity Graph, Bing Index, MCP Presence.
- Schema
- Structured data markup that describes a page's content in machine-readable form. Vocabulary defined at schema.org. Implementation formats include JSON-LD (recommended), Microdata, and RDFa. Required for AI engines to reliably understand entity relationships.
- sameAs
- A schema.org property used to declare that a thing (Organization, Person) is the same entity as one represented at another URL. Used to link your business to its profiles on LinkedIn, Facebook, Crunchbase, Wikidata, etc. Critical for entity disambiguation in the AI knowledge graph.
- Wikidata
- A free, collaborative knowledge base maintained by the Wikimedia Foundation. Each entity has a Q-number identifier (e.g., Q42 for Douglas Adams). AI engines and Google's Knowledge Graph use Wikidata as a primary entity-confirmation source. Lower bar than Wikipedia for inclusion.
- Zero-Click
- A search interaction where the user gets the answer they need from the search results page (or AI response) without clicking through to any source website. AI Overviews, featured snippets, and map packs are all zero-click surfaces. The dominant pattern for buying-intent local queries in 2026.
Example: When a user asks Perplexity "best PI lawyer in Las Vegas" and the response says "Naqvi Injury Law is highlighted as the top-rated firm" — Naqvi has won at AEO for that query.
See also: GEO · Answer Architecture · Citation Rate
See also: MCP
Example: If your robots.txt blocks GPTBot, ChatGPT cannot use your site for live retrieval or training — both ways of being cited go away.
See also: Zero-Click
See also: Citation Rate · Share of Model
Example: A page that starts with 'A GEO audit is X' and includes a 'What is X?' definition block has stronger answer architecture than a page that buries the definition six paragraphs deep.
Example: 1 of 28 queries cited = 3.6% citation rate.
See also: Search Eligibility
See also: AI Crawlers
See also: Schema
See also: AEO · SEO vs GEO
See also: Get the audit
See also: Schema
See also: Agentic Web
See also: E-E-A-T
See also: Citation Readiness
See also: JSON-LD
See also: AI Overviews
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