A
AI Citation
AI Citation refers to explicit references or links given by an AI system to a source while generating an answer. GEO strategies aim to increase the likelihood of being cited as a trusted source.
AI Confidence Scoring
AI Confidence Scoring is the internal assessment an AI model makes about how reliable a source or statement is. Higher confidence increases reuse and visibility in generated answers.
AI Visibility
**AI Visibility** is the degree to which a brand, page, or concept appears in AI-generated responses across platforms such as ChatGPT, Gemini, and AI Overviews.
Alt Text
Alt Text (Alternative Text) is descriptive text added to images that helps search engines understand visual content. It also improves accessibility for visually impaired users and serves as a fallback when images fail to load.
Anchor Text
Anchor Text is the clickable text in a hyperlink. Using descriptive, keyword-rich anchor text helps both search engines and AI systems understand the context and relevance of linked content.
Answer Engine Optimization (AEO)
Answer Engine Optimization (AEO) focuses on optimizing content to deliver direct, concise answers in AI-driven search, voice assistants, and featured snippets, prioritizing clarity, structure, and immediate intent satisfaction.
B
Backlink
Backlink is an incoming link from one website to another. High-quality backlinks signal authority and trustworthiness to both search engines and AI systems, improving overall visibility.
Bounce Rate
Bounce Rate measures the percentage of visitors who leave a page without interacting further. Lower bounce rates signal content relevance and quality to search engines.
Brand Authority Signal
Brand Authority Signals are indicators that help AI systems evaluate a brand's credibility, such as consistency, topical depth, and factual reliability.
Brand-Entity Mapping
Brand-Entity Mapping is the process of clearly associating a brand with specific topics or capabilities so AI systems understand what the brand represents.
C
Canonical URL
Canonical URL is the preferred version of a webpage when duplicate or similar content exists. Setting canonical tags helps search engines and AI systems identify the authoritative source.
Citation
Citation is a reference or acknowledgment of a source within content or AI-generated responses. In GEO and AEO context, citations signal credibility and authority, increasing the likelihood that AI systems will select and reference your content when generating answers.
Citation Probability
Citation Probability describes how likely a content source is to be referenced or paraphrased by AI models when answering a question.
Click-Through Rate (CTR)
Click-Through Rate (CTR) measures the percentage of users who click on a search result or link after seeing it. Higher CTR indicates strong relevance and compelling messaging.
Content Freshness Signal
Content Freshness Signal refers to how recently content has been updated or published. Both search engines and AI systems prioritize fresh, current information when generating answers.
Context Window
A Context Window is the amount of text an AI model considers when generating an answer. Content that is concise and well-structured performs better within limited context windows.
Contextual Authority
Contextual Authority reflects how strongly a source is associated with a topic area based on coverage depth and consistency.
Conversational AI
Conversational AI refers to AI systems designed to interact with users through natural dialogue, such as ChatGPT, Claude, or voice assistants. These systems increasingly influence how information is discovered and consumed.
Conversational Query
Conversational Query is a question or search phrased in natural, everyday language rather than keywords. AI systems and voice search are optimized to understand and respond to these queries.
Core Web Vitals
Core Web Vitals are Google's metrics for measuring user experience, including page loading speed, interactivity, and visual stability. Strong performance improves both SEO rankings and user satisfaction.
Crawlability
Crawlability refers to how easily search engine bots can access and navigate a website's pages. Proper site structure, clean code, and robots.txt configuration improve crawlability.
D
Direct Answer Content
Direct Answer Content delivers immediate responses to user questions without unnecessary background, which AI systems strongly prefer.
Disambiguation
Disambiguation is the process of clearly distinguishing between similar terms, brands, or concepts to avoid confusion in AI-generated answers.
Domain Authority
Domain Authority is a score (0-100) predicting how well a website will rank in search results. Higher authority signals greater trustworthiness to both search engines and AI systems.
E
E-E-A-T
E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Google uses these criteria to evaluate content quality, and AI systems increasingly prioritize sources demonstrating strong E-E-A-T signals.
Embeddings
Embeddings are numerical representations of text that AI models use to understand semantic meaning and relationships between concepts. Content with clear, consistent semantic structure performs better in AI systems..
Expert Tone
Expert Tone refers to neutral, factual, and confident language that signals credibility to AI models.
F
Factual Density
Factual Density describes how much verifiable information is delivered per sentence. AI systems favor content with high factual density and low filler.
Fan-Out Queries
Fan-Out Queries are follow-up questions generated by AI to expand an initial answer. GEO content anticipates these questions in advance.
Featured Snippet
Featured Snippet is a highlighted answer box appearing at the top of Google search results. Optimizing for featured snippets increases visibility in both traditional and AI-powered search.
Featured Snippet Optimization
Featured Snippet Optimization involves structuring content with clear answers, question-based headings, and concise formatting to increase the likelihood of being selected for position zero in search results.
Fine-Tuning
Fine-Tuning is the process of training an AI model on specific data to improve performance for particular tasks or domains. Understanding how models are fine-tuned helps predict which content types they prioritize.
Funnel (Marketing Funnel)
Funnel (Marketing Funnel) represents the customer journey from initial awareness to final conversion, divided into distinct stages where users have different information needs and search behaviors. In AI visibility context, optimizing content for each funnel stage increases the likelihood of appearing in AI-generated responses throughout the entire customer journey.
Top of Funnel (ToFu): Awareness stage where users ask broad educational questions like "what is GEO" or "how does AI search work." Content should be informational and educational.
Middle of Funnel (MoFu): Consideration stage where users compare solutions and evaluate options with queries like "best AI visibility tools" or "GEO vs SEO." Content should demonstrate expertise and differentiation.
Bottom of Funnel (BoFu): Decision stage where users are ready to convert with specific intent like "Visby pricing" or "how to start GEO optimization." Content should be conversion-focused with clear CTAs.
G
Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the practice of optimizing content to be selected, trusted, and reused by generative AI systems rather than traditional ranking engines.
Generative Retrieval
Generative Retrieval refers to how AI models pull relevant information from multiple sources to compose a single answer.
Generative Search
Generative Search refers to AI-powered search systems that create synthesized answers by combining information from multiple sources, rather than simply listing links.
H
Hallucination Risk
Hallucination Risk is the likelihood that an AI generates incorrect or unsupported information. Clear and authoritative content reduces this risk and increases reuse.
Human Query Patterns
Human Query Patterns** are the natural ways users phrase questions. GEO content mirrors these patterns to improve relevance.
I
Indexability
Indexability determines whether search engines can add a page to their index. Technical issues, meta tags, or robots.txt settings can prevent indexing, making content invisible to both search engines and AI systems.
Information Gain
Information Gain measures how much new, useful insight a piece of content provides compared to existing answers. AI systems prefer high information gain.
Intent Satisfaction
Intent Satisfaction indicates whether an answer fully resolves the user's question. High satisfaction increases reuse in future responses.
Internal Linking
Internal Linking connects pages within the same website using hyperlinks. Strategic internal linking distributes authority, improves navigation, and helps search engines understand site structure and content relationships.
K
Keyword Density
Keyword Density measures how frequently a target keyword appears in content relative to total word count. Balanced keyword usage (avoiding both under-use and stuffing) signals relevance without triggering spam filters.
Knowledge Graph
A Knowledge Graph is a structured network of entities and relationships that AI systems use to understand and connect information.
L
Large Language Model (LLM)
A Large Language Model (LLM) is an AI system trained to generate text based on probabilistic understanding of language and context.
Long-Tail Keywords
Long-Tail Keywords are specific, multi-word phrases with lower search volume but higher intent. They often trigger more targeted results in both traditional search and AI-generated answers.
Long-Tail Queries
Long-Tail Queries are highly specific questions that often trigger AI-generated answers rather than traditional SERP results.
M
Machine-Readable Structure
Machine-Readable Structure refers to content formatting that allows AI systems to easily parse and segment information.
Mention Frequency
Mention Frequency measures how often a brand or concept appears across AI-generated outputs.
Meta Description
Meta Description is the brief summary (135-155 characters) appearing below a page title in search results. While not a direct ranking factor, compelling meta descriptions improve CTR and user engagement.
Mobile-First Indexing
Mobile-First Indexing means search engines primarily use the mobile version of content for indexing and ranking. Ensuring mobile optimization is critical for visibility across all platforms.
Multi-Source Answer
Multi-Source Answer occurs when AI systems synthesize information from multiple sources to create a comprehensive response. Strong topical authority increases likelihood of inclusion.
Meta Title
Meta Title (Title Tag) is the HTML element that defines the title of a webpage, displayed in search engine results and browser tabs. It should be 35-55 characters, include the primary keyword, and accurately describe the page content. Meta titles are critical for both SEO rankings and click-through rates.
N
Natural Language Processing (NLP)
Natural Language Processing (NLP) is the technology enabling AI to understand, interpret, and generate human language. Modern search engines and AI systems rely heavily on NLP to match intent rather than just keywords.
Neutral Language Bias
Neutral Language Bias reflects AI's preference for factual, balanced language over promotional or emotional wording.
O
On-Topic Consistency
On-Topic Consistency ensures all content under a brand aligns with defined topic areas, strengthening semantic authority.
Organic Traffic
Organic Traffic refers to visitors arriving at a website through unpaid search results rather than paid advertisements. Building organic traffic requires strong SEO, content quality, and increasingly, GEO optimization.
P
Page Authority
Page Authority is a score (0-100) predicting how well a specific page will rank in search results, based on link quality and other factors.
Paraphrase Robustness
Paraphrase Robustness is the ability of content to remain relevant even when questions are phrased differently.
People Also Ask (PAA)
People Also Ask (PAA) is a Google feature displaying related questions users commonly search. Answering PAA questions in content increases visibility and helps AI systems understand content comprehensiveness.
Prompt
Prompt is the input text or question given to an AI system to generate a response. Understanding common prompt patterns helps optimize content for AI visibility.
Prompt Engineering
Prompt Engineering is the practice of crafting effective inputs to AI systems to achieve desired outputs. In GEO context, understanding how users prompt AI helps structure content accordingly.
Prompt Sensitivity
Prompt Sensitivity refers to how small changes in user queries affect AI-generated answers. GEO content must perform across prompt variations.
Q
Query Intent
Query Intent is the underlying goal behind a user's question, which AI systems prioritize over keywords.
Question Framing
Question Framing is structuring content using question-based headings that align with conversational AI usage.
Question-Based Content
Question-Based Content structures information around specific user questions rather than topics alone. This format aligns with how AI systems process and generate answers.
R
Reference Trust
Reference Trust reflects the level of confidence AI systems place in a source when generating answers.
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) combines real-time data retrieval with generative responses to improve accuracy.
Rich Results
Rich Results are enhanced search listings featuring additional visual elements like ratings, images, or structured data. They increase visibility and CTR in traditional search.
Robots.txt
Robots.txt is a file instructing search engine crawlers which pages or sections of a site to access or avoid. Proper configuration ensures important content remains crawlable.
S
Schema Markup
Schema Markup (Structured Data) is code added to web pages helping search engines understand content context and relationships. It enables rich results and improves how AI systems interpret information.
Search Intent
Search Intent is the underlying goal or purpose behind a user's search query (informational, navigational, transactional, or commercial). Matching content to search intent is critical for both SEO and GEO success.
Semantic Coverage
Semantic Coverage measures how completely a topic and its related concepts are explained.
SERP
SERP (Search Engine Results Page) is the page displaying results after a search query. Understanding SERP features helps optimize for both traditional and AI-enhanced search visibility.
Sitemap
Sitemap is a file (typically XML format) that lists all important pages on a website, helping search engines discover, crawl, and index content more efficiently. A well-structured sitemap improves both traditional SEO and helps AI systems understand site architecture and content hierarchy.
Source Attribution
Source Attribution occurs when AI systems explicitly credit or reference the origin of information in generated answers. Strong authority signals increase attribution likelihood.
Source Blending
Source Blending is when AI combines information from multiple sources into one answer.
T
Title Tag
Title Tag is the HTML element specifying a webpage's title, appearing in search results and browser tabs. It should be 35-55 characters, include the primary keyword, and accurately describe content.
Topical Authority
Topical Authority is the perceived expertise and credibility of a source within a defined subject area, built through comprehensive, consistent, and high-quality content coverage over time. In AI-powered search, topical authority has become critically important - brands that establish strong authority in their business domain are significantly more likely to be cited and recommended by AI systems when users ask related questions.
Training Data
Training Data is the collection of text and information used to teach AI models. Content aligned with high-quality training data patterns increases likelihood of being referenced by AI systems.
U
Unlinked Mentions
Unlinked Mentions are brand references in AI-generated answers without clickable links.
Update Frequency
Update Frequency reflects how regularly content is refreshed, which can influence AI trust over time.
V
Vector Database
**Vector Database stores numerical representations of content, enabling AI systems to find semantically similar information quickly. Understanding vector search helps optimize content for AI retrieval.
X
XML Sitemap
XML Sitemap is a file listing all important pages on a website, helping search engines discover and index content efficiently. Proper sitemap structure improves crawlability and indexability.
Z
Zero-Click Visibility
Zero-Click Visibility refers to brand exposure that occurs entirely within AI-generated answers without user clicks.
Zero-Shot Learning
Zero-Shot Learning is an AI's ability to handle tasks or answer questions it wasn't explicitly trained for, by generalizing from related knowledge. Content with clear structure and context performs better in zero-shot scenarios.
