Cho Yin Yong is an AI Engineering Leader and University Lecturer whose work sits at the intersection of artificial intelligence, web architecture, and user experience. With a career built on a deep curiosity about how technology shapes human interaction, Cho has dedicated years to understanding not just how AI works, but how it can be ethically guided to serve users better.
His expertise spans from the technical foundations of machine learning systems to the strategic application of AI in content discovery and search. As a lecturer, he bridges the gap between academic research and industry practice, teaching the next generation of engineers to think critically about the systems they build.
Your vibecoded masterpiece looks perfect in Chrome, but ChatGPT sees a blank page. Here's why Client-Side Rendering makes you invisible to AI crawlers—and how to fix it.
Hard-coded schema creates data mismatches that tank your AI visibility. Learn why dynamic JSON-LD generation is the only scalable approach to structured data—and how cite-met automates it.
A practical guide to creating and maintaining llms.txt files that help AI crawlers efficiently discover and cite your best content.
We transformed single AI interactions into multi-turn conversations by creating companion FAQ pages. Here's how we're building deeper engagement and stronger authority signals with LLMs.
Discover how genuine community engagement and purposeful AI interactions create stronger ranking signals than metadata optimization alone.
A practical framework for tracking AI citations, brand mentions, share of voice, and ROI. Learn which metrics matter and how to tie AEO work to business outcomes.
Tools like Lovable and Bolt build the UI. We build the visibility. Close the loop and give your site the voice it deserves.
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