Glossary

The process of identifying and tracking bookings that originated from AI platform interactions. As travelers increasingly use AI assistants for trip planning, understanding which bookings came through AI-mediated discovery helps measure ROI of AI visibility efforts and inform content strategy.

AI-generated summaries that appear at the top of Google search results, introduced in 2024. AI Overviews appear in approximately 18% of all Google searches, rising to over 50% for longer conversational queries. Users who encounter an AI Overview click on traditional links only 8% of the time, making inclusion in these summaries critical for visibility.

The practice of optimizing content so that AI-powered answer engines (like ChatGPT, Claude, Perplexity, and Google AI Overviews) can accurately understand, cite, and recommend your brand. AEO focuses on being the authoritative source in AI-generated answers rather than ranking in traditional search results.

The practice of monitoring how AI platforms describe, represent, and recommend your brand. Brand intelligence encompasses tracking sentiment, narrative accuracy, competitive positioning, and Share of Voice across AI assistants like ChatGPT, Claude, Perplexity, and Google AI Overviews. It helps properties understand and correct how AI perceives their brand.

The process of transforming a property's brand story, unique selling points, and guest experiences into structured, AI-readable content. This goes beyond traditional copywriting to include semantic markup, citation-worthy statistics, authoritative tone, and clear value propositions that AI systems can extract and cite in recommendations.

Understanding and encoding the emotional outcomes guests experience at a property, making them discoverable through AI's semantic search. Since 90% of purchase decisions are emotional, and travelers increasingly search with feeling-based queries ('I want to feel restored'), emotional mapping bridges the gap between how guests feel and how AI understands your property.

An emerging digital marketing discipline focused on ensuring a brand's content is the source an AI engine uses when synthesizing a direct answer to a user's prompt. Unlike traditional SEO which focuses on ranking links, GEO focuses on being cited as an authoritative source in zero-click AI responses. For hospitality, this means ensuring AI assistants accurately understand and recommend your property.

JavaScript Object Notation for Linked Data — the preferred format for embedding structured data in web pages. JSON-LD uses a script tag in the page head to describe entities and their properties in a way that search engines and AI systems can understand. Google and AI platforms recommend JSON-LD over alternative formats like Microdata or RDFa.

An AI system trained on billions of text examples to predict what words naturally follow others. Through training, LLMs learn patterns, relationships, and structures underlying human language — not just vocabulary, but context, meaning, and connections between concepts. Examples include GPT-4, Claude, and Gemini. LLMs power the AI assistants that travelers increasingly use to discover and book hotels.

A standardized text file (similar to robots.txt) placed in a website's root directory that provides AI language models with a concise, structured overview of a site's content, purpose, and key information. It helps LLMs quickly understand what a website is about and how to accurately represent it in AI-generated responses.

A standardized vocabulary (Schema.org) used to annotate web content with structured data. Schema markup tells AI and search engines what your content means, not just what it says. For hospitality, relevant schema types include Hotel, LodgingBusiness, Review, FAQPage, and HowTo. Proper schema implementation increases the likelihood of appearing in AI-generated recommendations.

AI's ability to understand the meaning and intent behind queries, not just match keywords. Semantic search enables travelers to describe what they're seeking (feelings, values, outcomes) rather than just searching with keywords. For example, 'Where can I experience slow living in Italy?' instead of 'luxury hotel Tuscany'. Properties that articulate their mission and guest transformation are discoverable through semantic search.

A metric measuring how frequently your property appears in AI-generated answers compared to competitors. In the context of AI visibility, Share of Voice indicates the percentage of relevant AI conversations where your brand is cited or recommended. Higher SoV correlates directly with increased booking inquiries and brand awareness.

Machine-readable code (typically JSON-LD using Schema.org vocabulary) added to web pages that helps AI systems understand the content. For hotels, structured data can describe property details, amenities, pricing, availability, reviews, and location in a format that AI assistants and search engines can parse programmatically, leading to richer and more accurate recommendations.

A search interaction where the user gets their answer directly from the search results page (via AI Overviews, featured snippets, or knowledge panels) without clicking through to any website. Research shows 26% of users end their session entirely after seeing an AI Overview. For hotels, this means your brand story must be present in the AI-generated answer itself.