Introduction to AI Visibility Prioritisation
Identifying opportunities for AI visibility—such as getting cited in ChatGPT Search, Perplexity, or Google’s AI Overviews—is only the first step. For the intermediate practitioner, the real challenge lies in selection. Not every 'unclaimed' citation is worth pursuing, and not every featured snippet translates into commercial value. Without a rigorous scoring system, marketing teams often succumb to 'shiny object syndrome', chasing high-volume queries that do not drive conversions or wasting resources on high-effort technical fixes with low probability of success.
This lesson introduces a systematic approach to qualifying opportunities using a modified ICE (Impact, Confidence, Effort) framework specifically tailored for AI Engine Optimisation (AEO) and Generative Engine Optimisation (GEO). By the end of this module, you will be able to transform a chaotic list of potential optimisations into a data-backed roadmap.