Behind the Curtain: How AI Systems Evaluate Brand Authority in Generative Engine Optimization

Behind the Curtain: How AI Systems Evaluate Brand Authority in Generative Engine Optimisation I’ll start with a stat that genuinely stopped me in my tracks: across the 2641 AI prompts we ran in our network, brand mention rates varied from just 6.7% to 100%. Same pool of businesses, same testing framework, wildly different outcomes. Why? Because how generative AI systems assess brand authority is anything but uniform. This isn’t about SEO as we’ve historically known it. Forget keywords and backlinks for a second. The emerging battleground is brand authority in GEO (Generative Engine Optimisation). And here’s the kicker: while the opportunity’s massive, it’s also a bit of a minefield. AI systems like ChatGPT, Google AI Overview, and Claude don’t just pull answers from the web; they use their own internal mechanisms to decide if your brand’s even worthy of mention. And the variance in those mechanisms is huge. So, how do these systems measure brand authority? What signals are they looking for, and how can businesses ensure their visibility isn’t left to chance? Let’s dig into the mechanics, data, and action steps to get your brand on the AI map. The AI Algorithmic Soup: Why Brand Visibility Diverges Here’s an eye-opener: in our experiments, 39% of the time, ChatGPT and Google AI Overview gave conflicting recommendations. A brand that appeared prominently in one system was completely overlooked in the other. That’s not a small discrepancy , that’s nearly four in ten prompts yielding different results depending on the AI provider. Take that in for a second. A potential customer might ask ChatGPT for a product recommendation, get one answer, and then turn to Google Bard for a second opinion… and see a completely different list of brands. Related reading: this piece about the hidden gap: why your brand is invisible to ai systems... . Related reading: our article on ai visibility metrics that matter: a practical framework ... . For marketing teams, that’s the equivalent of