Why 39% of AI Systems Disagree on Brand Recommendations (And What It Means for GEO)
By Sarah | GEO Research | 8 min read
Discover why 39% of AI systems diverge on brand recommendations. Learn how cross-provider visibility impacts GEO strategies and actionable fixes for businesses.
Tags: cross-provider divergence, AI visibility gap, brand recommendations, LLM testing insights, GEO strategies
Why 39% of AI Systems Disagree on Brand Recommendations (And What It Means for GEO)
Imagine being everywhere and nowhere at the same time. Sounds impossible, right? But that’s essentially what’s happening to brands in the world of AI recommendations. In our testing at Contxt, we discovered something that blew my mind: 39% of the time, ChatGPT and Google AI give conflicting brand recommendations. That’s not just a minor glitch; that’s a fundamental problem for businesses investing in Generative Engine Optimisation (GEO).
My take: this matters more than most people realise. We're not talking about quirks or flawed algorithms here. We're talking about whether your brand is visible to potential customers or relegated to the shadows, depending entirely on whose AI they’re using. And the implications for marketing, GEO strategy, and even competitive positioning are huge.
What’s Next for GEO?
We’re at the start of a major shift. GEO is still evolving, and AI systems like ChatGPT and Google AI Overview are just the beginning. More players are entering the arena, and the rules will keep changing. But one thing won’t change: the need to make your brand visible across all platforms.
If you’re serious about staying ahead, start working on your GEO strategy now. Test your visibility. Fix the gaps. And don’t assume that strong performance on one system will carry over to others, it won’t.
Want to see how your brand stacks up? Sign up for Contxt today and get immediate insights into your visibility across AI platforms. Because at the end of the day, what’s the point of having the best product or service if no one can find it?