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Fine-Tuning

The process of further training an AI model on specific data to improve its performance for a particular domain. While most hotel marketing AI uses general-purpose models with good prompts, fine-tuning could create models that understand hospitality terminology and booking patterns better.

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Agentic AI

AI systems that can autonomously plan, execute, and adapt multi-step tasks by using tools and making decisions. In hotel marketing, agentic AI can manage entire campaigns: creating notifications, analyzing performance, running A/B tests, and optimizing settings without manual intervention.

AI Agent

An autonomous AI system that can perform tasks on behalf of a user by connecting to external tools and APIs. In hotel marketing, AI agents can manage campaigns, deploy notifications, analyze performance data, and optimize conversion rates through platforms like TinyBell using MCP (Model Context Protocol).

AI Citation

When an AI system references your hotel's website or content as a source in its generated answer. AI citations drive brand visibility and potential traffic even when users don't click through to your site. Earning citations requires accurate, well-structured content that AI platforms can verify and trust.

AI Overview

Google's AI-generated summary box that appears at the top of search results, pulling information from multiple sources to answer queries like "best boutique hotels in Barcelona" without the user clicking any link. Hotels need structured data and strong content authority to appear in these summaries.

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A/B Testing AI Agent Conversion Rate Direct Booking Exit Intent FOMO (Fear of Missing Out) MCP (Model Context Protocol) Social Proof