Learn how to map AI Visibility tasks to specific professional roles, bridging the gap between traditional SEO team structures and the requirements of generative engine optimisation.
12 min read
Foundations
Visual diagram
A Venn diagram showing the overlap of Technical, Content, and Outreach roles, with 'AI Visibility' at the central intersection where all three meet.
Section 1 of 8
Introduction
Transitioning from traditional SEO to AI Visibility (AEO/GEO) requires more than just new tools; it requires a reallocation of human capital. While the core disciplines of content, technical, and outreach remain relevant, the specific tasks they must perform have evolved. In this lesson, we will deconstruct the AI Visibility workflow and assign responsibilities across the modern marketing team to ensure no part of the 'answer engine' ecosystem is neglected.
Introduction
Lesson Quiz
Pass at 70%.
1. What is the primary objective of the 'Data Architect' in AI Visibility?
2. In the context of AI Visibility, what does 'Information Gain' refer to?
3. Which role is responsible for managing the brand's presence on Reddit and Quora for AI training purposes?
4. Why is 'Subject Matter Expert' involvement more critical in AEO than traditional SEO?
5. What is a 'Shared Visibility Matrix' used for?
6. Which of these is a 'Technical' task for AI Visibility?
7. Which platform is an Authority Broker likely to focus on for AI citations?
8. What should be a new KPI for a Content Manager in an AI-first strategy?
9. What property in Schema helps connect a brand to an external authority like Wikidata?
10. The shift from traditional SEO to AI Visibility is best described as moving from:
