Why Most Brands Fail at LLM Visibility (And How Contxt is Changing the Game)

Why Most Brands Fail at LLM Visibility (And How Contxt is Changing the Game) Right, let’s start with the obvious: brands are obsessed with appearing at the top of Google search results. They throw money, time, and SEO consultants at the problem like it’s the holy grail of digital marketing. Fair enough, it’s worked for years. But here’s the thing, how people find information is changing. Fast. Large language models (LLMs) like ChatGPT, Bard, and others aren’t just sideshows anymore. They’re front and centre. People are using them to shop, research, plan, and everything in between. And as more apps and tools integrate them, they’re becoming the go-to source for answers. But here’s the kicker: most brands haven’t got a clue how to make themselves visible in this new AI-driven world. It’s like they’re sprinting into 2024 while clinging to strategies that peaked in 2017. So, why are most brands failing so badly at this? And how can you get ahead of the curve before your competitors figure it out? That’s what we’re unpacking today. Spoiler: tools like Contxt are turning this mess into something manageable. But first, let’s dive into why the struggle is real. The Problem with Traditional SEO in an AI World SEO has always been about gaming the system. You optimise your site, sprinkle in the right keywords, and wait for the Google gods to reward your efforts. It’s not pretty, but it’s worked. Until now. LLMs don’t operate like search engines. They’re not sifting through indexed pages and spitting out links. Instead, they’re generating answers, summaries, and insights based on the data they’ve been trained on. The result? Your typical SEO playbook is about as useful as a chocolate teapot. Related reading: this piece about why b2b brands are almost entirely invisible to ai (and w... . You might also want to check out our article on seo is not geo: why ranking on google and getting cited b... . I mean, how do you optimise for something that doesn’t serve up a traditional SERP?