By Ts. Lukas J. Tan
For the past two decades, businesses have invested heavily in Search Engine Optimisation (SEO). We optimised keywords, built backlinks, improved page speed, and published articles to rank higher on Google. Those strategies are still important, but while building my own AI workforce recently, I realised something that completely changed my perspective. The next generation of websites won’t compete only for search rankings—they’ll compete to be understood by AI.
One unexpected lesson came from something developers have quietly used for years: Markdown (.md). I wasn’t trying to learn Markdown. I discovered it while building AI-powered systems with Claude. At first, I wondered why almost every document was stored as a Markdown file instead of Microsoft Word or plain text. Then it clicked. Markdown isn’t just a writing format; it’s a structured way of organising knowledge. AI doesn’t care about beautiful layouts or animations. It understands hierarchy, relationships, context, and clearly organised information. The better your knowledge is structured, the easier it is for AI to understand your business.
This made me rethink how we build websites. Traditionally, we start by designing pages—Home, About Us, Services, Contact. Today, I believe we should start by designing knowledge. Most websites, especially traditional CMS platforms, were built primarily for humans to read and search engines to crawl. They can absolutely be made AI-friendly, but many organisations still organise content page by page rather than as a connected body of knowledge. With AI-assisted development, I now find myself creating structured knowledge first, then letting AI generate the website, proposals, profiles, and other business assets from that single source. The website becomes one output—not the starting point.
From SEO to GEO and AEO
I believe we are entering the next phase of digital transformation. In the past, we optimised for SEO. Today, conversations are shifting toward Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), and other AI-focused approaches. Whatever terminology eventually becomes the standard, the direction is clear: organisations need websites that communicate expertise in a way AI systems can understand, not just pages that look attractive to people.
One Knowledge Base, Every Output
The organisations that adapt early will gain a significant competitive advantage. Imagine maintaining one trusted knowledge base that powers your website, LinkedIn articles, keynote profiles, proposals, sales materials, training content, and even your internal AI workforce. Instead of rewriting the same information across different platforms, AI understands your knowledge once and helps you publish it consistently everywhere. That changes not only how we build websites, but how we manage knowledge across an entire organisation.
I am still researching and learning in this space, but one thing is becoming increasingly clear. The last 20 years were about building beautiful websites. The next 20 years may be about building websites that AI can understand. The question is no longer, “Does your website rank on Google?” The better question is, “Can AI understand your business well enough to recommend it?” Those who begin restructuring their websites into AI-ready knowledge platforms today may be the ones who remain visible, trusted, and discoverable in tomorrow’s AI-first world.