As generative search and AI agents increasingly influence how users discover, evaluate, and choose brands, traditional SEO signals alone are no longer sufficient. AI systems such as large language models (LLMs) synthesize answers using multiple sources, interpret product attributes, and decide which brands to cite or recommend. This shift means marketers must now understand how AI agents interpret their content and how visible their brand is in generative answers.

In this hands-on lab, you will explore how Adobe LLM Optimizer helps brands analyze their presence in AI-generated responses, diagnose visibility gaps, and apply practical optimizations that improve brand representation in generative search.

Throughout the session, you will learn how to evaluate AI interpretation of website content, analyze brand-level signals such as citation attempts and agentic traffic, and identify opportunities to improve product and content visibility. You will also experiment with prompt strategies to uncover new discovery opportunities.

By the end of the lab, you will understand how content visibility, prompt performance, and AI agent behavior intersect to influence brand discovery in generative experiences.

In this lab, you will learn how to analyze and improve your brand’s visibility in AI-driven search experiences using Adobe LLM Optimizer.

After completing this lab, you will walk away with the following knowledge:

Before beginning this lab, participants should have a basic understanding of digital marketing and content optimization concepts. Familiarity with SEO, web content structure, and marketing analytics will be helpful but is not required.

You should have access to the following tools and resources during the lab:

In this lab, you will take the role of a digital marketer responsible for improving Frescopa's visibility in AI-powered search experiences.

As generative AI becomes a key way users discover products and information, brands must ensure that their website content is accurately interpreted, properly cited, and easily surfaced in AI-generated answers. However, many organizations find that despite strong traditional SEO performance, their brand appears inconsistently—or not at all—in generative search results.

Your task in this lab is to evaluate how AI agents interpret your website and identify opportunities to improve your brand’s visibility.

You will begin by navigating to your own company website and reviewing its AI Content Visibility Score using the AI Visibility Checker Chrome Extension. This provides a quick snapshot of how well AI systems can interpret your website content.

Next, you will log into Adobe LLM Optimizer and select your brand or website from the organization dropdown to explore deeper insights into how AI systems understand and surface your content.

Throughout the lab, you will complete several exercises that simulate how a marketer would diagnose and improve AI visibility:

By the end of the lab, you will understand how to diagnose AI visibility challenges and apply optimization strategies that help AI agents better understand, cite, and recommend your brand in generative search experiences.

There are 5 sections to this part of the lab. You don't have to finish them all today! 😌 If you can get though 2 of the exercises that's great! That will give you exposure to the AI Visibility Checker Extension and Adobe LLM Optimizer. Any extra exercises you complete are bonus! And this part doesn't require a login so you can always complete this section in your own time after today 😊