Why Your Brand Is Invisible to AI: Lessons from 2,881 Prompts

Why Your Brand Is Invisible to AI: Lessons from 2,881 Prompts

Here’s a blunt question for you: if someone asked an AI about your brand, would it even know you exist?

It’s a bit of a wake-up call, isn’t it? For years, marketers have been obsessed with Google rankings, working tirelessly to secure those top spots on traditional search engine results pages. But here’s the thing: the way people search isn’t just evolving, it’s leaping into entirely new terrain. AI systems like ChatGPT, Google’s AI Overview, and others are becoming the go-to tools for recommendations, answers, and even buying decisions. The problem? Many businesses are completely invisible in these systems. And no, ranking well on Google doesn’t guarantee you’ll rank at all in AI.

If that sounds dramatic, let me back it up. Across 2,881 AI prompts we’ve tested at Contxt, visibility gaps between brands are glaring, and, frankly, commercially devastating. We’re seeing AI systems give conflicting answers 39% of the time. One provider might rave about your business, while another doesn’t even mention you. And worse, some industries are utterly floundering.

So, why does this happen? And what can you do about it? Let’s break it down.

The AI Visibility Gap Is Real, and It’s Already Affecting Brands

Let’s start with the data, because numbers have a funny way of cutting through the noise. Across our dataset, there were 1016 unique prompt variations tested on systems like ChatGPT, Google AI Overview, Perplexity, and Claude. These prompts spanned questions about brands, services, industries, and more. The headline stat? The average brand mention rate across all AI systems was 62.9%. That means nearly 4 in 10 opportunities to be mentioned resulted in.. silence.

And the discrepancies between providers are wild. ChatGPT had a brand mention rate of 75.4%, while Google AI Overview pulled just 45.5%. Claude performed slightly better at 78.5%, while Perplexity landed at a flat 50%. Related reading: our article on how b2b enterprises can dominate llm visibility in ai sys.... Related reading: our article on the brand invisibility problem: why your business is invi.... In other words, the AI visibility gap is huge. You might think your brand is doing fine because it shows up on one system, but have you tried others? A brand visible on ChatGPT is far from guaranteed to appear in Google’s AI answers, and vice versa.

To make matters worse, some brands aren’t just struggling, they’re virtually invisible. Four of the 31 brands we track had mention rates below 30%, including Iconsys 2 (6.7%), a manufacturing and industrial automation brand, and TOCA Social (10%), a sports entertainment company. These are established businesses. Related reading: our article on the business case for llm visibility: why it’s non-negoti.... But to AI? They might as well not exist.

Commercial Impact: If AI Can’t See You, Neither Can Buyers

So, does it matter if an AI assistant doesn’t recognise your brand? Absolutely. The way people interact with AI is fundamentally different from traditional search engines. Rather than getting back a long list of web links, users are presented with direct answers, specific recommendations, or shortlists. If your brand isn’t on that shortlist, there are no second chances. You’re out of the conversation altogether.

Think about it from a B2B perspective. A procurement manager asks an AI tool, “Who are the best suppliers of industrial automation solutions in the UK?” If you’re Iconsys 2, your 6.7% visibility rate means there’s a 93% chance your name won’t even come up. That’s a missed lead. You can Contxt platform features to see for yourself. You can the Contxt scanning process to see for yourself. And for B2C brands like TOCA Social, being invisible means losing out on spur-of-the-moment recommendations when a user asks, “What’s a fun night out in London?” The stakes are massive.

Where It’s Going Wrong: The Root Causes of AI Invisibility

Right, let’s unpack why this happens. In my experience working with clients on AI visibility, it’s rarely down to a single factor. Instead, it’s a messy combination of data gaps, prompt sensitivity, and model-specific quirks. Here are the big hitters:

• Incomplete Training Data: Large language models (LLMs) rely on vast datasets to ‘learn’ about the world. If your brand’s information isn’t well-represented in the training data, AI systems won’t surface you. It’s like trying to find a book in the library that isn’t in the catalogue.
• Prompt Sensitivity: One of the most surprising findings from our testing lab is how differently brands perform depending on the wording of user prompts. For instance, in buying-intent tests, some brands were recommended consistently for “best options in [category]” but completely missed when phrased as “who should I choose for X?”
• Provider Bias: Each AI system has its own way of prioritising information. ChatGPT clearly performs better for explicit brand mentions, while Google AI Overview seems to focus more on general authority in a field. If your brand’s online presence doesn’t align with these biases, you’ll struggle to show up.
• Cross-Provider Divergence: Here’s the kicker: 39% of prompts produced different answers between ChatGPT and Google AI Overview. Imagine asking one AI for a hotel recommendation and getting Hilton, then asking another and getting Marriott. The same applies to your brand, consistency is nowhere near guaranteed.

Honestly, this one surprised me most. If you’re not intentionally optimising for visibility across multiple systems, you’re gambling with your brand’s presence.

Industries That Struggle (and Why)

Some sectors are particularly vulnerable to poor AI visibility. From our tests, entertainment and niche B2B categories seemed to suffer most, with brands like TOCA Social and Contxt (yes, even our own brand) hovering at mention rates of 10% and 13%, respectively. Why? My take is that these industries often rely on experiential or highly specialised appeal, which doesn’t translate well in AI systems trained on broad, generalised data. There’s also less standardisation in how these brands are described online.

Compare that to manufacturing brands like Viking Pumps and IPU, both hitting 100% visibility across our dataset. These companies benefit from clearer, more consistent positioning and stronger online information tied to their products.

How to Close the AI Visibility Gap

Enough doom and gloom, let’s talk about solutions. The good news is that improving your AI visibility isn’t a lost cause. But it does require a mindset shift. Ranking well on traditional SEO is no longer enough; you need to actively adapt to AI-specific behaviours.

1. Audit Your Current AI Visibility

You can’t fix what you don’t measure. Start by running prompts across major AI systems (ChatGPT, Google AI Overview, Claude, Perplexity, etc.). Test different phrasing, from general brand recall to buying-intent queries. This will help you map out where you’re visible, or invisible.

At Contxt, we’ve conducted 58 experiments across 14 businesses to understand prompt sensitivity, competitor displacement, and more. If you don’t have the capacity to do this yourself, you might want to consider tools to help you track this systematically.

2. Prioritise Structured Brand Data

AI systems thrive on clear, structured information. This means investing in your online presence, with up-to-date data on directories, Wikipedia, Google Business Profiles, and other structured platforms. Ensure your website is optimised for AI crawlers, not just traditional humans or search engines.

3. Experiment with Multiple Provider Strategies

Given the cross-provider divergence we’ve seen (39% of prompts producing different results), it’s vital to treat each system as its own ecosystem. Diversify your strategies. For example:

• For ChatGPT: Focus on content-rich resources like blogs and case studies.
• For Google’s AI Overview: Prioritise authority signals through partnerships and press mentions.
• For Claude: Test more conversational, user-focused data inputs.

4. Refine Your Messaging for Buying-Intent Prompts

As we found in our buying-intent tests, brand mentions vary dramatically depending on how a question is phrased. Work on crafting messaging that aligns with specific queries your target audience might use. This matters more than most people realise, words like “trustworthy,” “popular,” or “best value” can make or break your visibility.

5. Monitor AI Updates Like a Hawk

AI systems are constantly evolving, with new updates, training data, and algorithms. What works today might not work tomorrow. That’s why we run model-update-monitor experiments at Contxt. You’ll want to stay ahead of these changes to ensure your optimisation efforts remain relevant.

A Final Thought: AI Visibility Is the New SEO

At the end of the day, the AI visibility gap isn’t just a quirk of emerging technology. It’s a fundamental shift in how brands will compete for attention. And it’s happening faster than most businesses are prepared for.

If this all feels like a bit of a minefield, that’s because it is. But the brands that invest now in understanding and improving their AI visibility will have a massive competitive advantage in the years to come. For a deeper look, have a read of How Enterprises Can Build Unbreakable AI Visibility in Co.... I've written about this separately in this piece about manufacturing and ai visibility: what 43 brands and 340 p.... It’s not rocket science, just a new layer of strategy that needs your attention.

And if you’re not sure where to start, we’re here to help. At Contxt, we specialise in closing the AI visibility gap and making sure businesses like yours are seen where it matters most.

Ready to make your brand visible in AI? Let’s get started.