This course explores how large language models (LLMs) and AI assistants interact with content, interpret data, and provide actionable insights for websites and brands. Participants learn how LLMs decide which citations to include in responses, the difference between mentions and citations, and how sentiment impacts AI-generated answers.

The course also covers technical basics that help AI crawl and interpret websites accurately, agentic traffic insights, and metrics to measure AI visibility and performance. Learners gain practical skills in writing prompts that deliver reliable and repeatable GEO insights, mapping prompts to personas, and tailoring AI interactions for different audiences.

Additionally, participants learn the importance of monitoring AI responses about their brand, measuring visibility scores, and using AI performance reports to inform optimization decisions. By the end of the course, learners will understand how to leverage GEO insights to improve AI-generated content, optimize brand representation, and make data-driven decisions in digital marketing.