Master the art of sequencing AI visibility optimisations into a high-impact, three-month roadmap with clear technical, creative, and analytical milestones.
12 min read
Foundations
Visual diagram
A horizontal 90-day timeline chart divided into three 30-day blocks: Foundation (Technical/Schema), Execution (AEO Content/Citations), and Optimization (Testing/Reporting).
Section 1 of 7
Introduction to the 90-Day Visibility Plan
Transitioning from theoretical AI visibility concepts to a practical client engagement requires a structured framework. While traditional SEO often focuses on long-term authority building, AI Visibility and Answer Engine Optimisation (AEO) benefit from tighter, iterative cycles. A 90-day plan serves as the industry standard for demonstrating early value, establishing a baseline, and implementing technical shifts that AI models (LLMs) can ingest and reflect in their outputs. This lesson provides a tactical sequence to move from initial audit to measurable visibility improvements.
Introduction to the 90-Day Visibility Plan
Lesson Quiz
Pass at 70%.
1. What is the primary focus of Month 1 in a 90-day AI visibility plan?
2. Why is the 'sameAs' schema attribute particularly important for AI visibility?
3. Within an AEO content strategy, what is the ideal length for a 'direct answer' snippet?
4. Which of these is a 'Seed Site' in the context of LLM training?
5. What does 'Prompt Sensitivity Testing' involve in Month 3?
6. If an LLM has a 'knowledge cut-off', how should you prioritise your 90-day work?
7. What is 'Narrative Engineering' in the context of Month 2?
8. Which metric is most relevant to reporting on AI Visibility?
9. What is the purpose of the 'Answer-Ready' format in Month 2?
10. How does the 'Entity Mapping' done in Month 1 influence the rest of the plan?
