The New Shelf Space: How Brands Need to React to Retail Visibility Moving From Search Rankings to AI Retrieval

For a long time, the traditional marketing funnel has struggled to reflect how people actually discover and buy online. Consumer journeys have become increasingly fragmented, with multiple touchpoints influencing decisions long before a purchase is made. Now, AI is accelerating that shift.

Instead of beginning with a traditional search and working their way through a list of websites, consumers are increasingly turning to AI-powered experiences, from Google's AI Overviews to platforms like ChatGPT. They're asking questions such as: What is the best running shoe for flat feet? or Which skincare brands are best for sensitive skin? instead of using traditional keywords or even long-tail searches.

In these moments, AI is the intermediary between customers and brands.

For retailers, this creates a new challenge. It's no longer enough to simply rank. In 2026, according to research from Similarweb and SparkToro, less than one third of Google searches still ends with a click, but, The Downstream Impact of AI Visibility report also revealed how behaviour has changed - users were 2.5x more likely to visit the website of a brand that had been recommended by AI as compared to competitors. 

So in this new landscape, brands need to ensure they are being retrieved when customers describe a need, problem or purchase context, and that means building a digital footprint that consistently reinforces the topics, expertise and associations you want to be known for.

But visibility in those moments isn't enough and being retrieved is only the first step. The next challenge is ensuring customers choose you once you've been recommended - you need to ensure once you’re recommended you’re the brand they come back to.

Understand the Human-Machine Memory Gap

For decades, marketing has been built around influencing human memory. Brands invested in distinctive assets, consistent positioning and repeated exposure to build mental availability, increasing the likelihood that customers would think of them when a buying situation arose. Led by industry pioneers such as Byron Sharp, Director at the Ehrenberg-Bass Institute and author of How Brands Grow, they also needed to be physically available - a customer couldn't choose a product that wasn't on the shelf.

Those principles still apply today, but the nature of availability has evolved yet again.

No longer confined to traditional store shelves, physical availability in the digital era has been constantly changing and today, brands must look beyond search engine rankings and paid placements, ensuring they are also accessible within AI-driven discovery experiences.

This creates what we call the Human-Machine Memory Gap.

Humans and machines retrieve brands differently, but in comparable ways. Humans rely on familiarity, recognition and memory structures built over time. Machines rely on contextual signals, associations and evidence that indicate relevance to a specific question or need.

As a result, a brand can be highly retrievable by AI systems yet lack meaningful consumer awareness. Equally, a brand may be well known by customers but struggle to appear when AI platforms recommend products, services or solutions.

The brands best positioned for the future will be those that close this gap, building availability with both humans and machines rather than optimising for one at the expense of the other.

At ICS-digital, our response to this challenge is Distinctiveness Intelligence® (DI), a strategic framework designed to help brands understand and close the Human-Machine Memory Gap. Put simply, DI helps brands assess how they are remembered by people, how they are retrieved by machines, and where the gaps between the two exist.

How Brand and Context Ownership Drives Availability

At the heart of the framework are two concepts: Brand Ownership and Context Ownership.

Brand Ownership is about what your brand is known for. Context Ownership is about the situations, needs and conversations where your brand is discovered and recommended.

A running brand, for example, may want to be associated with performance, expertise and innovation. But it also needs to own the contexts that drive consumer discovery, such as marathon training, injury prevention or running with flat feet.

These brands are creating distinctive associations that build mental availability in human memory, strengthening retrieval availability by becoming the most relevant answer within important customer contexts, and maintaining physical availability by ensuring they can be easily found and purchased wherever customers choose to discover them.

In an AI-driven world, success is no longer about optimising for a single form of availability. The brands most likely to win are those that build all three.

Closing the Human-Machine Memory Gap requires more than visibility alone. It requires a clear understanding of how customers discover, evaluate and remember your brand across both human and machine-driven journeys.

Retail leaders should start by asking three simple questions.

1. What non-branded topics drive discovery?

Many retailers can fall into a trap of focusing heavily on branded visibility, but discovery often starts long before a customer searches for a specific brand. Instead, journeys begin with a category, need state or problem to solve. And whilst this has been the case when search was most likely to happen within Google, the way people search is changing, with users not only using traditional search engines, but also supplementing those with social media searches on TikTok, reading community comments on Reddit or going to AI platforms like ChatGPT to ask questions.

Understanding these entry points can reveal the topics and contexts that influence purchase decisions before brand preference has been established. By examining the questions customers ask, the challenges they face and the language they use, retailers can build a clearer picture of the contexts where they need to be visible, relevant and retrievable.

2. What contexts does your brand genuinely own?

Understanding the contexts that drive discovery is one thing. Deciding which of those contexts you have a right to own is another.

Many brands attempt to be relevant to too many conversations, diluting the associations they create for both customers and AI systems. Instead, retailers should focus on the contexts where they can build genuine authority and distinctive expertise.

This means understanding where your brand has credibility, where competitors already dominate, and where opportunities exist to establish ownership. The goal is not to be present in every conversation, but to become the most relevant and memorable brand within the contexts that matter most.

3. Are your assets helping humans and machines understand your distinctiveness?

Once you've identified the contexts you want to own, the next question is whether your digital footprint consistently reinforces them.

This isn't just about product and category pages. It's about every signal your brand creates, from on-site content and buying guides to digital PR, paid media, social activity and expert commentary.

The brands most likely to be remembered and retrieved are those that communicate the same distinctive associations across every touchpoint. Consistency helps customers understand what you stand for, while helping AI systems understand when your brand is relevant to a particular context or need.

Owning a context isn't something you claim. It's something you reinforce repeatedly through the signals and assets that make up your digital presence.

Traditionally, winning meant securing the best shelf space or search rankings to ensure your brand was available when customers were ready to buy. Alongside this, brands continued to invest in mental availability to ensure they were remembered when purchase decisions were made.

Today, AI is reshaping discovery once again. The retailers most likely to succeed will be those that bring together mental, physical and retrieval availability. 

Because in the AI era, it is no longer enough to be remembered by humans or retrieved by machines. The brands that win will be those that are chosen by both.

Read more about the Human-Machine Memory Gap in our whitepaper: distinctivenessintelligence.ics-digital.co.uk. 

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