Content Matrix for AEO: Become the Answer AI Cites
Generative Engine Optimization (GEO) and AEO case study: AI Visibility Score 69.1 → 77.2 in seven days
In a red-ocean category where applicants increasingly ask AI assistants for advice, we applied JefurryAxis persona modelling and an Answer-Engine content matrix so SMU’s Master of Applied Finance became the answer AI cites — climbing the AI Visibility Score from 69.1 to 77.2 in seven days.
Method: the questions contain no brand names; four models — Doubao, DeepSeek, Qwen (Tongyi Qianwen) and Tencent Yuanbao; measured 28 January to 4 February 2026 for the target applicant persona.
The study behind Persona-Driven AI Engine Optimization in Zero-Click Search, accepted for an oral presentation at ANZMAC 2026 following peer review.
The Background
The Challenge
The Solution
The Results
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