Finance · GEO / AEO

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.

Content MatrixPrecision ConversionDifferentiated PositioningGEO / AEO
Client
SMU · Master of Applied Finance
Sector
Finance Education
Engine
Audience Intelligence
Focus
Generative & Answer Engine Optimisation (GEO / AEO)
Engineered Outcomes
69.1→77.2
AI Visibility Score in seven days
5 of 10
Articles cited (Doubao 4 · DeepSeek 1)
> NTU
Overtook NTU for the target persona

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.

A
Background

The Background

Information OverloadBrand messaging lost in heavy market noise.
Red Ocean MarketIntense competition with low brand differentiation.
B
Challenge

The Challenge

Conversion BarrierA complex decision path from awareness to application.
Urgent Lead GenA critical need to accelerate qualified inquiries.
C
Solution

The Solution

Persona MappingApplied JefurryAxis to define target scenarios — from “Shanghai IB Aspirant” to “Singapore Quant Explorer”.
Precision ContentStructured citable assets for every decision stage across four major LLMs.
D
Results

The Results

Visibility SurgeMoved ahead of NTU in AI answers for the target applicant persona, with the AI Visibility Score rising from 69.1 to 77.2.
Cited as a SourceFive of the ten articles were cited as sources — four by Doubao, one by DeepSeek — only under that persona’s questions.
Engines Applied

The engines behind this outcome.

Most results come from combining modules. Here is the engine mix that powered this brief.

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