Reference
The AI Visibility Glossary
Plain-language definitions of every term that matters in AI search: GEO, AEO, citation rate, query fanout, llms.txt, share of model, citation drift, and the rest. Updated as the field evolves.
A
- AEO (Answer Engine Optimization)
- The practice of optimizing content so it gets quoted by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews.AEO focuses on whether your content is extractable, citable, and structured well enough for AI systems to use it as a source in synthesized answers. It overlaps heavily with GEO; the two terms are often used interchangeably.
- AI Citations
- Source links and references that AI systems include in their responses to attribute extracted content.When ChatGPT, Perplexity, Gemini, or Google AI Overviews quote a page, they often include a citation back to the source. Citation behavior varies sharply: Perplexity cites in 97% of responses, Google AI Overviews 34%, ChatGPT 16%.
- AI Overviews (Google)
- Google Search's AI-generated summary that appears above the traditional ten blue links.Google AI Overviews appeared in roughly 25% of all Google searches as of early 2026, and 57% of long-tail queries. When AI Mode is active, 93% of searches end without a click to an external site.
- AI Visibility
- How often, accurately, and favorably your brand appears in AI-generated answers across the major AI search platforms.AI visibility is measured across multiple metrics including Share of Model, Citation Rate, Recommendation Rate, and Sentiment Score. It is independent of traditional Google rankings.
- Answer Block
- A self-contained 40-60 word passage that directly answers a question, designed for AI extraction.AI systems extract specific passages, not entire pages. Content structured as discrete answer blocks (each one citable on its own) outperforms flowing narrative for AI citation purposes.
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B
C
- Citation Drift
- The week-over-week churn in which sources AI systems cite for a given query.AI citation domains turn over 40-60% per month. A page that gets cited this month may lose its citation next month if a competitor publishes something fresher or more authoritative.
- Citation Half-Life
- The time it takes for half of a piece of content's AI citations to drop off.Citation half-life varies by platform. ChatGPT cycles fastest at 3.4 weeks. Perplexity holds citations longest at 5.8 weeks. Google AI Overviews sit between at 4.3 to 4.8 weeks.
- Citation Rate
- How often an AI platform attributes content to your URL when generating an answer.Distinct from mention rate. A brand can be mentioned without its content being cited as a source. High mention rate with low citation rate usually indicates a content quality or structure problem.
- CITE Framework
- Cite Solutions' proprietary methodology for AI visibility: Comprehend, Influence, Track, Evolve.Each phase runs continuously. Comprehend audits how AI perceives the brand. Influence shapes responses through content and source placement. Track monitors visibility week over week. Evolve adapts as platforms change.
- ClaudeBot
- The web crawler operated by Anthropic that gathers content for Claude's training and citation systems.
- Comprehend
- The first phase of the CITE framework — auditing how AI systems currently perceive and represent your brand.
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D
- Discoverability
- Whether AI crawlers can find and read your content. The prerequisite for any AI citation work.AI systems cannot cite content they cannot crawl. Common discoverability blockers include blocked crawlers in robots.txt, JavaScript-only rendering, and missing sitemaps.
E
- E-E-A-T
- Experience, Expertise, Authoritativeness, Trustworthiness. Google's framework for evaluating content quality.E-E-A-T applies to AI search as well as traditional search. Strong E-E-A-T signals (named authors with verifiable credentials, third-party validation, accurate content) increase the likelihood AI systems will cite your content.
- Evolve
- The fourth phase of the CITE framework — adapting strategy as AI platforms change.
F
- Fanout Coverage
- The proportion of sub-queries an AI system fans out into where your content appears.When a user asks a question, AI systems often expand it into multiple sub-queries executed in parallel. Fanout coverage measures depth of topical authority across that fanned-out search.
- FAQ Schema
- Structured data (JSON-LD) that marks up question-and-answer content for search engines and AI systems.FAQ schema produces a 350% citation increase compared to unstructured content, based on Otterly's analysis of 1 million AI citations in 2026. The single highest-impact structural change for AI visibility.
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G
- GEO (Generative Engine Optimization)
- The practice of optimizing content so generative AI systems cite, recommend, and remember your brand.GEO is the discipline that emerged once AI search became material in late 2024 and 2025. It overlaps heavily with AEO and is the umbrella term used across most platforms in 2026.
- Golden Prompts
- The 20-30 buyer-relevant queries that matter most for your AI visibility tracking.Golden prompts are not vanity questions. They are recommendation queries ("what is the best CRM"), comparison queries ("X vs Y"), and problem-solving queries that real buyers ask AI before evaluating a vendor.
- GPTBot
- OpenAI's web crawler that gathers content for ChatGPT's search and training systems.
- Grounding
- The process by which an AI system anchors its response in retrieved source documents instead of internal training data.Grounded responses are more likely to include citations and less likely to hallucinate. Perplexity is the most heavily grounded major AI platform; ChatGPT is the least.
H
- Hallucination
- An AI response that asserts something false with high confidence, often invented from nothing or stitched together incorrectly.Hallucination rates vary across platforms and use cases. Strong grounding, fresh source content, and clear factual claims in source material reduce hallucination probability.
I
- Influence
- The second phase of the CITE framework — shaping AI responses through content, source placement, and presence.
K
- Knowledge Graph
- A structured representation of entities (brands, people, products) and the relationships between them.AI systems use knowledge graphs to reason about entity identity. Strong, consistent entity signals across multiple sources help AI systems classify your brand correctly.
L
- LLM (Large Language Model)
- A neural network trained to generate or analyze natural-language text. Examples include GPT-5, Claude, Gemini, and Llama.
- llms.txt
- A plain-text file at the root of a website that gives AI systems a curated guide to the site's most important pages.Modeled on robots.txt and sitemap.xml. llms.txt helps AI crawlers understand what your site is about and which pages they should prioritize. The newer companion file llms-full.txt includes the actual content of those pages so AI systems do not need to crawl multiple URLs.
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M
- Mention Rate
- How often a brand name appears in AI responses for a given query, regardless of whether it is cited as a source.
P
- Passage Extraction
- The technical process AI systems use to pull specific 40-60 word chunks from a longer page and use them in answers.
- PerplexityBot
- Perplexity's web crawler that retrieves real-time content to ground its answers.
- Prompt Tracking
- Continuous monitoring of how AI systems respond to your golden prompts week over week.Prompt tracking surfaces citation drift, sentiment shifts, and competitive movement. It is the equivalent of rank tracking for AI search.
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R
- RAG (Retrieval-Augmented Generation)
- An AI architecture that retrieves relevant documents at query time and uses them to ground the generated response.Perplexity is the canonical RAG search engine. ChatGPT and Claude offer optional RAG modes. RAG-grounded responses cite sources more reliably than pure generative responses.
- Recommendation Rate
- How often an AI platform actively recommends your brand as the answer to recommendation-intent queries.Distinct from mention rate. A brand can be mentioned in a list without being recommended as the solution. Recommendation Rate is the metric most directly tied to pipeline.
S
- Schema Markup
- Structured data (most commonly JSON-LD) that gives search engines and AI systems explicit information about a page's content.Article, BlogPosting, FAQPage, HowTo, and Organization schemas are the most relevant for AI visibility. Strong schema improves the odds of rich result eligibility and AI extraction.
- Sentiment Score
- The qualitative tone with which AI systems describe your brand: positive, neutral, or negative.A high mention rate with negative sentiment can hurt more than zero mentions. Sentiment monitoring is part of any complete AI visibility audit.
- Source Selection
- The process by which AI systems decide which retrieved documents to cite or quote in their final response.
T
- Track
- The third phase of the CITE framework — continuous monitoring of citation share, sentiment, and source movement.
Y
- Yahoo Scout
- Yahoo's AI search product, powered by Claude, with access to roughly 250 million existing Yahoo users.
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