The Cross-Provider Visibility Problem: Why 39% of AI Systems Disagree on Brand Recommendations

The Cross-Provider Visibility Problem: Why 39% of AI Systems Disagree on Brand Recommendations

Imagine this: you ask ChatGPT for the best industrial automation companies. It fires back a list that includes Iconsys 2. Then you pose the exact same query to Google AI Overview, and.. Iconsys 2 is nowhere to be seen. Same prompt, different AI system, wildly different answers. At first glance, it’s easy to brush that off as “AI being weird”. But when you’re running a business, it’s not just weird. It’s costly.

My theory? This inconsistency is quietly becoming one of the biggest blind spots in digital marketing. And no one’s seriously talking about it yet. In the past, your goal was to rank high on Google search. End of story. Now? Consumers aren’t just asking search engines; they’re having conversations with AI models. Those models are acting like experts, making recommendations, and, crucially, deciding whether or not your brand deserves to be visible at all. Forget SEO battles; welcome to the era of cross-provider visibility chaos.

What's the actual problem here?

Let’s break it down. Across our network of 2881 prompts, we’ve seen a staggering 39% divergence rate between ChatGPT and Google AI Overview answers. That means two of the largest AI systems directly disagree on nearly four out of ten prompts, even when asked the exact same question. This isn’t just an academic curiosity, it’s a branding nightmare.

If your business is recommended on ChatGPT but invisible on Google AI, what happens when a customer switches platforms? And it’s not just these two systems. Perplexity, Claude, Bing Chat, they’re all making their own decisions about who shows up and where. The data we’ve run shows brand mention rates ranging from 45.5% for Google AI Overview to 78.5% on Claude. Related reading: this piece about the missing link between llm visibility and roi: a strate.... Related reading: our article on the 3 types of prompt that decide whether ai recommends y.... So even if you’re killing it on one system, you might be a ghost on another.

Why you can’t ignore the divergence

Look, I get it. It’s tempting to say, “Who cares? We’re at 75% visibility on ChatGPT, that’s good enough.” But here’s the thing: AI systems are becoming gatekeepers. People aren’t flipping through endless search results anymore; they’re trusting whatever their preferred AI spits out. If your business isn’t consistently visible across providers, you’re losing cross-platform trust, without even knowing it.

Let’s get specific. Of the 31 brands we track, four are stuck below 30% visibility, including Iconsys 2 (a paltry 6.7%) and TOCA Social (just 10%). On the flip side, brands like Viking Pumps are absolutely dominating with 100% visibility across the board. That’s not luck. Viking Pumps’ ability to show up everywhere turns them into a no-brainer for AI-driven recommendations. Related reading: this piece about the search industry is collapsing: what the data actually.... The gap between those two extremes? It’s a chasm you can’t afford to fall into.

How is this even happening?

Honestly, this took me ages to wrap my head around. In our testing lab, we’ve run 58 experiments across 14 businesses, diving into prompts like buying intent, competitor displacement, negative sentiment, and multi-language responses. What we’ve found is that visibility doesn’t just depend on the brand, it depends on the context. Same brand, different question, completely different outcome.

For example, buying-intent tests reveal that the same brand can be recommended strongly in one context (“best industrial automation companies”) but vanish in another (“best companies for green manufacturing”). What’s worse, AI systems don’t treat data the same way. ChatGPT might pull from one source, while Google AI leans on another. You can Contxt platform features to see for yourself. You can how Contxt works to see for yourself. It’s not rocket science to realise that inconsistent data inputs lead to inconsistent recommendations, but what do you do about it?

The knock-on effects no one’s talking about

Here’s what I’m noticing: this divergence is creating a ripple effect across industries. One client we worked with, a mid-sized B2B software provider, was baffled when their AI visibility tracker showed them at 65% on Perplexity but just 22% on ChatGPT. Why? Because ChatGPT prioritised brands with stronger citation networks, while Perplexity leaned on direct user reviews.

And it’s not just visibility; it’s perception. A mate of mine runs an agency and they’ve started asking clients, “Do you know how people view you through AI recommendations?” Nine times out of ten, the answer is, “No idea.” That’s scary. If your visibility is fragmented, so is your narrative. Consumers are getting incomplete, or conflicting, impressions of your brand, and you don’t get a seat at the table to clarify.

Can you fix it?

Good news: this isn’t some unsolvable black hole. It just takes strategy. Based on our experiments, here are three actionable steps any brand can take:

1. Monitor visibility across multiple AI systems

   You wouldn’t only track your Google rankings and ignore Bing, right? Same logic applies here. Tools like Contxt make it easier by tracking your brand’s mention rate across AI platforms, from ChatGPT to Claude. For a deeper look, have a read of our article on the real cost of ignoring ai visibility tools: a risk ana.... With 85 tracker runs completed across our network, we’ve seen brands recover lost ground simply by understanding which systems are underperforming for them.

2. Optimise for prompt variety

   AI doesn’t just read static websites; it interprets context. That means your brand needs to show up in multiple scenarios, not just under one keyword. Experiment with buying intent, competitor displacement, and even negative sentiment prompts. Our data shows that brands strong in one context can be invisible in another, and it’s often down to how their content is structured.

3. Build cross-provider trust

   AI systems care about authority. That includes citations, backlinks, reviews, and even consistent metadata. If one provider questions your legitimacy, your visibility tanks. Brands like Viking Pumps didn’t hit 100% visibility by accident; they’ve mastered the art of appearing trustworthy everywhere.

Where does Contxt fit in?

Alright, I’ll admit it, I’m biased. But Contxt genuinely specialises in solving this exact problem. The platform isn’t just tracking visibility; it’s actively analysing why your brand shows up (or doesn’t) across different AI systems. With tools for prompt sensitivity, model updates, and feature attribution, it’s like having an SEO expert for AI-driven engines.

For example, one of our clients struggled with a 13.0% visibility rate on Google AI Overview. After running prompt-sensitivity tests, we found that tweaking their product descriptions to emphasise sustainability boosted their mention rate to 43% within a month. It’s not magic; it’s methodical optimisation across multiple systems.

The future of cross-provider visibility

So, where’s all this heading? In my experience, AI systems are only going to become more diverse, not less. Each platform has a unique approach to recommendations, whether that’s ChatGPT’s conversational tone or Claude’s bias towards academic citations. The challenge for marketers isn’t just keeping track; it’s adapting to each system’s quirks.

And look, this isn’t just a tech issue. It’s strategic. If customers trust AI systems to recommend brands, then businesses have to trust those systems to represent them accurately. That starts with understanding the divergence problem and taking steps to address it before your competitors do.

Final thoughts (and a call to action)

At the end of the day, cross-provider visibility isn’t just a buzzword; it’s the reality of how brands are seen (or not seen) in 2023. The fact that 39% of prompts yield conflicting answers between major AI systems should make every marketer sit up and pay attention. If you’re not obsessively tracking and optimising your presence across providers, you’re leaving money, and reputation, on the table.

Want to get ahead? Sign up for Contxt’s visibility tools and start tracking where your brand stands. I've written about this separately in How Contxt Solves International LLM Visibility Challenges. Don’t let AI systems decide your fate without a fight.

Honestly? The sooner you start solving this, the better.