Search Engine Optimisation (SEO) has ruled the digital world for decades, dictating how businesses structure their content to rank higher in search results. But with the rise of AI-driven search engines like Google’s AI Overview, ChatGPT, and Perplexity AI, the game is changing. Language Engine Optimisation (LEO) is the next evolution, shifting focus from keyword-stuffing and backlinks to structured, AI-friendly content that’s easily understood and extracted by AI models. This guide will walk you through what LEO is, how it differs from SEO, and how you can prepare your website today to stay ahead in the AI-powered search landscape.

What Is an LLM and How Is It Trained? Large Language Models (LLMs) are the powerhouses behind modern AI chatbots, search assistants, and automated content generators. They work by predicting the next most likely word in a sequence based on extensive training data. These models are trained on billions of words from books, articles, websites, and other written materials, absorbing grammar, context, and meaning at an unprecedented scale. However, what’s surprising—and honestly a little unsettling—is that we don’t actually know exactly how LLMs work internally.

Sam Altman has shared an extract from a new AI model they’ve trained, and it’s already causing a stir. We don’t know if or when we’ll get access to this model—OpenAI hasn’t given a release date or even guaranteed we’ll see it. However, from the preview Altman posted on X (formerly Twitter), it’s clear the model isn’t just spitting out generic text. It’s dabbling in something quite literary. What’s So Special About This Model?

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A research preview of an agent that can use its own browser to perform tasks for you. Available to Pro users in the U.S.