Building Trustworthy AI Experiences in Ticketing Guide

Give your team the clarity and confidence to build AI experiences your audiences can trust.

Today’s ticket buyers expect clear, consistent, and trustworthy information—especially when that information comes from AI‑powered tools. This companion guide distills the frameworks, tests, and best practices shared during the INTIX session Building Trustworthy AI Experiences in Ticketing, providing a practical, easy‑to‑use resource your organization can apply right away.

Inside, you'll find actionable exercises that reveal how well your current content supports both Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). You'll learn how AI interprets your policies, what it infers from your content, and how confidently it can answer on your behalf. These tests help teams uncover gaps, reduce uncertainty, and strengthen the accuracy and authority of their information.

This guide also outlines how personalization systems learn, where organizations unintentionally introduce friction, and what steps you can take to prepare your content for AI‑assisted experiences. Whether you're just beginning or advancing your AI strategy, this resource will help you build a foundation rooted in clarity, consistency, and user trust.