Why 37% of AI Systems Disagree on Brand Recommendations: Insights from 3,221 Prompts
By Sarah | AI Visibility | 9 min read
Discover why 37% of AI systems disagree on brand recommendations. Explore insights from 3,221 prompts to bridge the gap and ensure consistent AI visibility.
Tags: AI systems, brand visibility, LLM optimization, cross-provider divergence, geo strategies
Why 37% of AI Systems Disagree on Brand Recommendations: Insights from 3,221 Prompts Here’s a simple question: can your business trust AI to put your brand in front of customers? Now complicate it, because it’s not just one AI system making those recommendations. It’s at least four major players, all with different strengths, behaviours, and biases. And according to our data, they disagree 37% of the time on which brands to recommend. That’s huge. It’s tempting to think, “Well, surely Google AI Overview and ChatGPT will give me roughly the same results, right?” Nope. If your brand is visible on one, it’s far from guaranteed to appear on the other. Worse, you might be strong on a system customers aren’t using and entirely absent on one they rely on daily. This is a commercial risk, plain and simple. But it’s also a massive opportunity if you’re prepared to optimise strategically. Let’s unpack what’s going on, and what you need to do about it. The 37% Divergence Problem First, some context. Across 3,221 prompts tested in our network, we saw a 37% divergence rate between ChatGPT and Google AI Overview. That means more than a third of the time, the two systems gave different brand recommendations for identical queries. For businesses that rely on AI visibility to capture attention at key decision points, this should be a massive wake-up call. Here’s the breakdown across our dataset: ChatGPT had the highest overall mention rate at 74.5% . Google AI Overview lagged behind at just 45.9% . Perplexity and Claude sat in the middle, with mention rates of 53.8% and 60.4% , respectively. That’s not just variance; it’s a visibility gap. Related reading: our article on the cross-provider visibility gap: why 39% of ai systems ... . Related reading: our article on the psychology of ai recommendations: how cognitive bias ... . If you’re leaning on one AI system and ignoring others, you’re leaving a lot of potential customers in the dark. A visual representation of AI brand recommenda