Invisible Giants: How Legacy Brands Lose Out on AI Visibility

Introduction: The Perplexing Plight of Legacy Brands

Legacy brands, the titans of their industries, often find themselves in an ironic predicament. Despite monumental market presence and decades of consumer trust, they're like invisible giants in the world of AI. While they're household names on the high street, in the digital realm, these legacy brands frequently disappear into the ether whenever AI takes the reins. It's a bit of a head-scratcher, really.

But let's face it. Innovation is about asking the why. Why are these established names struggling with AI visibility? Is it their hefty establishments, slow adaptation, or perhaps a failure to recognise the shift in digital ecosystems? In my experience, a combination of factors lurks beneath their dimming visibility. This article digs into these challenges, bolstered by real data and actionable insights on how legacy brands can overcome AI invisibility.

Understanding the AI Visibility Landscape

First off, let's talk about the role AI plays in shaping brand visibility. Today, AI algorithms are the gatekeepers of digital content. They decide which brands you see when you run a search, ask a question, or request a recommendation. My theory? If you're not visible to AI, you're virtually non-existent to a swath of potential customers.

In our dataset spanning 6529 AI prompts across 54 businesses, we found that brand mentions vary wildly not just by the brand but also by the AI platform. ChatGPT mentions brands 73.1% of the time, while Google AI Overview follows at 45.7%. Then there's Perplexity at 43.4% and Claude at 61.6%. So a brand visible on ChatGPT is far from guaranteed to appear on Google's AI answers , and vice versa. Related reading: this piece about why b2b brands struggle with llm visibility (and how to g.... We've covered this in more detail in this piece about trust metrics decoded: how enterprises can evaluate the c.... That's a visibility disparity we can't ignore.

The Visibility Challenge for Legacy Brands

Here's what I keep seeing: many legacy brands rely on their longstanding reputation, assuming it's enough to combat AI's systematic bias. It's not. Brands like DUO in e-commerce have a shocking 0.0% visibility across AI platforms. They're practically ghosts. And then there's Castle Pumps from the manufacturing sector with a mere 6.3% mention rate and TOCA Social in the entertainment industry barely scraping 10%. These aren't isolated cases.

Now, consider Oak&More, a furniture retailer, enjoying a 100% mention rate. What's the magic sauce? Simply put, they've optimised for AI visibility. They've recognised that old strategies just don't cut it in a world governed by AI. This matters more than most people realise. Related reading: this piece about why 38% of ai systems disagree on brand recommendations (.... Related reading: our article on the hidden gap: why brands are invisible to ai assistants.... At the end of the day, if AI can't find you, neither will your customers.

Why Legacy Brands Struggle

Legacy brands often grapple with adapting to AI for a few key reasons. One, many have complex, layered structures that slow down decision-making. Two, there's a reliance on traditional marketing strategies , print ads, brick-and-mortar, television , that fail to translate to the digital-first approach of today.

Take for example a mate of mine who runs a digital marketing agency. He said it's like pulling teeth to get legacy brands to shift their budget from traditional media to digital platforms. They're just not convinced. Related reading: our article on why 40% of brands are invisible to ai: the cross-provider.... You can Contxt platform features to see for yourself. They're sceptical, maybe even a bit scared, of the digital world they can't physically see.

Moreover, these brands often base their strategies on historical data, failing to pivot or anticipate digital trends. They see past success as a predictor of future results. You can how Contxt works to see for yourself. But here's the thing, does any of that actually matter if AI can't find you?

The Cross-Provider Divergence

Our data shows that 38% of prompts get different answers when comparing ChatGPT and Google AI Overview. Imagine being a brand that's highly visible on one platform but completely absent on the other. It's like shouting into the void from one end while being heard loud and clear from another.

This divergence is a visibility barrier that requires more than just understanding; it needs proactive strategy shifts. Legacy brands, in particular, must realise that what worked in the past won't suffice today.

Case Studies: Adapt or Fade Away

Let's look at some real-world examples. Oak&More figured it out. By adapting their content and aligning with AI recognition, they achieved top-tier visibility. They recognised the importance of technological adaptation for maintaining competitive visibility. On the other hand, DUO, stuck in their old ways, remains invisible in the AI-driven ecosystem.

Red Fern and Wasp Fuel Polishing Solutions are other instances of brands hitting 100% visibility. They've managed to break through the noise by focusing on AI-friendly content. It's not rocket science, but it requires a shift in strategic focus.

Breaking Down the Barriers

So, how can legacy brands break down these barriers? Innovation is about asking the why and the how. The first step is to audit and understand your current AI visibility. Engage with platforms like Contxt to assess where you stand across various AI systems. Are potential customers seeing you, or are you just a name they're missing?

Next, embrace agility. Legacy brands need to streamline their operations to be more responsive. Quick, adaptive changes can significantly impact AI visibility. The days of rolling out campaigns over months need to be complemented with tactical interventions based on real-time data. The market changes, and so should you.

Building AI-Friendly Content

Content remains king, but only if crowned with AI awareness. Brands must produce content that’s not only engaging but also recognisable by AI algorithms. This means understanding AI's language, its content preferences, and optimising for those nuances. It’s about building AI visibility legacy brands can leverage for growth.

One client I worked with focused on contextually-rich content aligned with their key product offerings. We noticed a significant uplift in their AI-driven visibility within a few months. It was a matter of adapting, testing, and iterating.

Navigating AI's Complex Ecosystem

AI visibility isn’t just about brand mentions. It's also about sentiment analysis, buying intent, and customer queries. In our testing, brand mention rates varied dramatically by query type. A brand can be recommended in one context while entirely absent in another. This is a minefield that requires strategic navigation.

Engage in multi-layered testing. Buying-intent tests, knowledge-cutoff experiments, and competitor-displacement analytics are crucial. The more you know, the better you can optimise.

The Silver Lining

Honestly, I was sceptical at first, but our data reveals potential victories for those who adapt. Legacy brands have the advantage of familiarity. Once they optimise their digital footprint for AI, they can leverage this existing trust for enhanced visibility.

The future isn't bleak for legacy brands willing to change. AI adaptation won't be easy, but it's achievable. A proactive approach can transform AI barriers into bridges of opportunity.

Conclusion: The Call to Action

At the end of the day, AI visibility isn't just a nice-to-have for legacy brands; it's essential. As we see in our network, the consequences of neglecting this are stark. But look, there's a tremendous opportunity for those willing to evolve their strategies and embrace the digital shift.

The question isn't if you'll adapt, but how quickly you can. Will you remain an invisible giant, or will you step into the light of AI-driven success? It's your move.

For those ready to take the plunge, platforms like Contxt offer the tools you need to evaluate and enhance your AI visibility. Don’t wait until you’re a footnote in digital history.