Why 39% of AI Systems Disagree on Brand Recommendations (and How to Fix It)

Why 39% of AI Systems Disagree on Brand Recommendations (and How to Fix It) Here’s the uncomfortable truth: if you’re relying on AI to help your brand show up in recommendations, there’s a good chance it’s not working as well as you think. You might be visible in one system but invisible in another. And the kicker? Most businesses don’t even realise this is happening. My theory? It’s because we’ve been so focused on creating content that we forgot to ask a critical question: how do AI systems actually decide which brands to recommend? It’s a messy, imperfect process, and it’s leaving many companies on the sidelines when it comes to AI brand recommendations. Here’s what I keep seeing: when we run identical prompts across different AI systems, like ChatGPT and Google’s AI Overview, the results vary wildly. Across our dataset of 2,641 prompts, 39% of the time, these systems give conflicting recommendations. In practice, that means a brand visible in ChatGPT might be nowhere to be found on Google’s AI. For businesses trying to manage their digital presence, this is a massive problem. And it’s not just theory. We’ve got the data to prove it, and strategies to fix it. Let’s break this down. The 39% Problem: Why AI Systems Don’t Agree You’d think AI systems would all draw from the same pool of information, right? They’ve got the internet, stacks of training data, and similar mechanisms for processing user queries. But in reality, their priorities, and outputs, are anything but consistent. In our tests, ChatGPT mentioned brands 74.4% of the time, while Google AI Overview was significantly lower at 44.1%. Perplexity came in at 40.6%, while Claude actually outperformed at 77.1%, although it was tested on a smaller sample size. These disparities aren’t just statistical quirks; they’re meaningful. They mean your brand could show up in one conversation but be completely absent in another. Related reading: From 0% to Cited: What Brands Scoring 80%+ on AI Actually... . Related rea