Case Overview
This is a real AI Visibility Health Check for a Taiwan-based cement manufacturer and sales company. On the surface, the website's SEO score reaches 92 and PageSpeed performance hits 82 — placing it among the industry's top performers in traditional search optimization.
However, when we tested AI search platform performance, we discovered a striking paradox: ChatGPT and Gemini gave positive mentions in brand queries, but the moment we switched to "industry query" contexts, this company completely disappeared from AI answers. Traditional SEO optimization is no longer sufficient to guarantee market visibility in the AI era.
Composite score: 62/100 — Medium AI Visibility Potential.
Score Breakdown
- AI Visibility (Brand + Industry): 25/40 — Brand queries score well; industry queries near zero
- GEO Technical Score: 27/40 — Partial structured data; FAQ and semantic content lacking
- SEO Baseline: 10/20 — Strong technical SEO; content depth insufficient for AI citation
Overall: 62/100 — Medium AI Visibility Potential
AI Platform Test Results
Brand Query: Moderate
ChatGPT provided a neutral factual description; Gemini offered a similar response with some positive framing; Claude's response was more limited.
Industry Query: Complete Absence
When asked: "Which cement suppliers should construction companies consider in Taiwan?" — all three platforms returned zero mentions of this company. Competitors were frequently cited.
When your target clients research suppliers via AI, you don't exist in that conversation.
The SEO-GEO Paradox
A 92-point SEO score reflects excellent technical optimization: fast page speed, clean code, proper meta tags. But AI recommends based on:
- Does this source address industry-specific questions thoroughly?
- Can the content be cited as authoritative guidance?
- Is there structured Q&A or expert commentary?
- Does the content address buyer decision criteria?
On all four dimensions, traditional SEO-optimized sites often score poorly — because SEO and GEO optimize for fundamentally different signals.
GEO Optimization Recommendations
1. Create Industry Recommendation Content
Develop content answering "how should construction companies choose cement suppliers?" — covering quality standards, delivery reliability, certifications, and comparison frameworks.
2. Build FAQ Schema
Implement structured FAQ markup covering: material specifications, application scenarios, pricing factors, procurement timelines.
3. Develop Thought Leadership Content
Publish articles addressing industry pain points: "How to evaluate cement quality for large construction projects," "What certifications matter most." This content is highly citable by AI.
4. Strengthen Semantic Coverage
Expand content to cover adjacent topics: construction material procurement, project cost management, supply chain reliability.
Summary
A 62/100 score with strong technical foundations but weak GEO content is a highly actionable optimization opportunity. With 3–6 months of targeted content strategy, moving from "invisible in industry queries" to "actively recommended" is achievable.