The Hidden Gap: Why Brands Are Invisible to AI Assistants and How to Fix It

By Alex | AI Visibility | 8 min read

Discover the AI visibility gap: Learn why brands are overlooked by AI assistants and explore strategies to bridge the 41% discrepancy in recommendations.

Tags: AI visibility gap, brand monitoring, LLM optimization, AI mentions, GEO

The Hidden Gap: Why Brands Are Invisible to AI Assistants and How to Fix It Here’s a brutally simple question: is your brand showing up when AI assistants recommend products and services? Because if it’s not, none of the rest, your SEO strategy, content marketing spend, or even your brand loyalty, really matters in this new era of generative AI. And honestly, most brands are asleep at the wheel on this one. My theory? Businesses are still obsessed with search engines. They’re optimising for Google’s web results like it’s 2015, but the world’s moved on. Now, it’s all about AI assistants, ChatGPT, Google AI, Perplexity, driving decision-making for millions of users. These models don’t serve up lists of links. They offer direct answers and actionable recommendations. If your brand isn’t in those answers, you’re invisible. And here’s the kicker: just because you’re winning at SEO doesn’t mean you’re winning here. visualisation of a search engine result versus a direct AI response The AI Visibility Gap Is Real Across our dataset of 2131 prompts, which span 27 businesses and 896 unique prompt variations, the problem is glaring. When we analyse AI-generated responses, we see a significant visibility gap . For example, ChatGPT mentions a brand 77.0% of the time using a specific prompt set, but that same brand's mention rate drops to just 43.5% on Google AI Overview. Worse still, Perplexity sinks it further to 36.7%. What does that mean? A brand visible on one AI assistant isn’t guaranteed to show up on others. And the divergence is big: 41% of prompts yield conflicting answers between ChatGPT and Google AI. Imagine the damage that does to a business already struggling to compete, visible in one corner but a ghost everywhere else. Here’s what I keep seeing: brands assume if they optimise for one platform, the rest will follow. They don’t. The mechanics of how these models work, training data, knowledge cut-offs, prompt interpretation, vary massively. You might also want to c