Overview
The learner can improve how often and how favourably AI engines recommend a brand.
Expert level
Learning objectives
- Interpret AI visibility and share-of-model against competitors
- Prioritise the questions and engines that move commercial outcomes
- Design an optimisation programme that raises AI recommendation
Lesson outline
- The AI Visibility Framework and its inputs
- Reading share-of-model and citation trust evidence
- Monitoring AI answers across engines over time
- Closing gaps on priority decision-stage questions
- Engine-specific nuances and where they matter