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 being invisible to half your audience, depending on the platform they’re using.

My read on this data? Each AI system evaluates brand authority differently, based on their own proprietary algorithms. ChatGPT had an overall mention rate of 74.4% in our network, far outperforming Google AI Overview (44.1%) and Perplexity (40.6%). Claude, despite fewer total prompts, led the pack at 77.1%. Related reading: this piece about how b2b enterprises can dominate llm visibility in ai sys.... But these figures don’t tell you the full story , the underlying criteria matter more than the surface-level percentages.

How Generative Systems Gauge Brand Authority

Alright, so what’s going on under the hood? Based on what we’ve observed, AI systems evaluate authority through a mix of ranking signals, citation factors, and algorithmic weighting. Let me break it down:

• Citation reliability: Brands that are frequently cited in authoritative third-party sources (think well-respected industry sites) tend to score higher. In our tests, brands with strong third-party citation footprints were more consistently visible across prompts.
• Content specificity: Generic content doesn’t cut it anymore. AI systems evaluate the depth and relevance of your material against the query type. If your content isn’t directly answering the questions being asked, you’re out.
• Historical trust signals: There’s evidence that some systems factor in historical data or trustworthiness metrics. For example, brands with longer-established digital footprints seem to perform better. Unfortunately, that’s not something you can hack overnight.
• Engagement proxies: While we can’t measure this directly, we suspect that AI models may look at how often a brand is interacted with or mentioned on social platforms, forums, and reviews.

Here’s what actually surprised me: these signals aren’t consistent across systems. Put simply, what one AI finds authoritative or relevant may differ significantly from another. If your content plays great with ChatGPT but doesn’t hit the mark for Google AI Overview, you’re splitting your visibility potential. For a deeper look, have a read of Why 39% of AI Systems Disagree on Brand Recommendations (.... You can Contxt platform features to see for yourself. And that, frankly, is a major problem for brands trying to build consistent authority in GEO.

Real-World Cases: Brands Winning and Losing the Visibility Game

To give all this some real-world context, let’s look at how some brands from our network performed. Of the 30 tracked brands, the high visibility group (70%+ mention rate) includes names like Viking Pumps, IPU, and Red Fern , all scoring a perfect 100%. On the other end, you’ve got Iconsys 2 at just 6.7% and TOCA Social at 10.0%. That’s a brutal range, especially when you consider that the underlying testing conditions were the same.

What separates winners from losers here? Viking Pumps, for instance, has a wealth of content addressing highly specific technical queries. Their site is optimised for deep dives into niche topics, which AI systems interpret as authoritative. Iconsys 2, by contrast, suffers from generic messaging and low engagement. You can the Contxt scanning process to see for yourself. Their broader focus is working against them in terms of how AI systems prioritise relevance.

Here’s the harsh truth: if your brand isn’t producing content that aligns tightly with AI evaluation signals, you’re making yourself invisible. This isn’t about volume; it’s about the right kind of value. And AI systems are ruthless in filtering out noise.

Testing for Buying Intent and Visibility Gaps

A key part of understanding brand authority in GEO is recognising how differently brands can perform depending on the query. Across 12 buying-intent experiments that we ran, we saw wild swings in mention rates for the same brand depending on context. A company like Red Fern might dominate in high-level industry recommendations but fall off the radar for specific product searches.

Why does this happen? In many cases, it’s down to the way prompts are phrased or categorised. AI systems rely heavily on their training data to determine relevance, and their “understanding” is often contextually narrow. That means your brand positioning has to work doubly hard to cover both broad and specific intents.

One client I spoke with recently said, “We’ve written content for years, but it feels like we’re invisible in AI.” And they’re not wrong. Until you test how systems respond to different prompts, you can’t identify the gaps. You might also want to check out this piece about how contxt solves international llm visibility challenges. That’s where a platform like Contxt comes in , our tracker runs and experiments pinpoint exactly where brands are being excluded, and why.

Action Steps: How to Optimise Your Brand for AI

Alright, enough theory. Let’s talk practical steps. If you want to build your brand authority in GEO and improve your AI visibility, here’s what you need to focus on:

1. Audit your content for specificity: Generic “we do it all” messaging won’t cut it. Write content that answers specific, high-value questions your audience is asking. Tools like OpenAI’s ChatGPT can even help you identify the type of prompts being used.
2. Strengthen your citation footprint: Work on getting your brand mentioned in reputable third-party sources. Guest blogs, collaborations, and expert contributions still matter.
3. Test and iterate: Use AI testing platforms to understand where your brand stands. The experiments we’ve run , from buying intent to competitor displacement , have been game-changers for identifying weaknesses.
4. Cover diverse query types: Don’t just focus on one kind of search intent. Build out content for both high-level recommendations and detailed niche queries.
5. Monitor updates: AI models change frequently. What works in one version might not carry over to the next. Stay on top of updates and re-optimise as needed.

These steps won’t guarantee instant results , nothing worth doing does. But over time, they’ll put your brand in a far stronger position to thrive in the shifting landscape of generative AI.

Why This Matters More Than Most People Realise

If all this feels a bit overwhelming, that’s because it is. GEO is uncharted territory for most businesses. The stakes are huge, though: as adoption of generative AI tools grows, your visibility in these systems could define your ability to connect with new customers. At the end of the day, it’s about staying relevant in a world where AI intermediates more and more decisions.

I’ll leave you with one final thought. Across our data, 50% of brands achieved high visibility, while 13% were stuck in the “low” category. That split is only going to get starker as AI systems continue refining their algorithms. If you’re not actively working to align your brand authority with these evaluation criteria, you won’t just fall behind , you’ll disappear.

Want help navigating the messy middle? Get in touch with us at Contxt. We’ve got the tools, data, and experience to make sure your brand doesn’t end up on the wrong side of the visibility gap.