Transform how your marketing teams and workflows run with AI. From AI readiness through to governance, agent deployment, and capability building.
Building an AI Visibility Measurement Framework for Education Search
Open Universities Australia needed a way to measure how its brand and Education & Teaching offering appeared across emerging AI search environments. This included understanding visibility, competitive positioning, and the accuracy of AI-generated responses across platforms used by Australian students.
AI Visibility in the Current MarTech Stack
We designed a structured AI visibility tracking framework using tools they already had in their marketing stack. This included overall AI visibility monitoring and a curated prompt tracking system covering brand, qualification discovery, career pathways, comparisons, study flexibility and cost queries. We also defined strategic KPIs, prompt clusters, and accuracy checks to monitor citations, competitor presence, and potential AI misinformation.
Ongoing Monitoring of Demand Signals
OUA gained a repeatable framework for benchmarking AI visibility across ChatGPT, Gemini and AI Overviews. The model provides ongoing monitoring of brand accuracy, competitive positioning, and high-intent study queries, enabling early identification of visibility gaps and AI-driven demand signals.
to monitor AI Share of Voice across priority prompts
across 6 high-intent study clusters
Monitoring of AI citations, competitors and source attribution
Emily Tatti
Senior SEO Content Specialist, Open Universities Australia
Thanks for sharing the AI prompt tracking framework – it’s really fantastic, and so well structured (as always!).



























