For most of modern marketing history, brand building has centred on shaping perception at the moment of choice. We obsess over awareness, visibility, and emotional resonance because we understand – correctly – that when a person is confronted with options, the brand that feels most familiar, distinctive, or meaningful is the one most likely to be chosen. Entire industries have been built around influencing that brief human moment.
But what happens when that moment no longer belongs to a human being?
A shift is already underway – one the marketing and creative industries have yet to fully confront. Much of the current conversation focuses on AI as a tool: writing sharper copy, generating more efficient creative. But a deeper, more structural transformation is emerging. The rise of agentic AI systems will fundamentally reshape how businesses approach brand building.
As this shift becomes embedded in everyday life, it will quietly challenge one of the core assumptions that has guided brand strategy for decades: that humans are the primary decision-makers.
Automated decision making and its implications
Take something mundane, like ordering a takeaway. Consumers don’t feel a deep emotional connection to whether dinner arrives via Just Eat, Deliveroo or Uber Eats. They may have habits or interface preferences, but they don’t meaningfully care about the logo on the rider’s jacket or the tone of voice in their advertising. Yet these businesses still spend tens of millions each year trying to build precisely that sense of distinction.
Now imagine a step beyond this. Instead of opening an app at all, the consumer simply instructs an AI assistant to order a pizza. The system scans available providers, evaluates delivery times, compares pricing, reviews reliability data, and executes the transaction. The entire process takes place behind a seamless, invisible layer of automation. The user does not browse. They do not compare. They are not exposed to campaigns or nudged by distinctive brand assets. The decision is simply optimized.
From a consumer perspective, this is seamless and efficient. From a brand perspective, it’s an unsettling shift in how choice is made and where influence sits.
The algorithmic consumer – a new challenge for brands
In this environment, decisions are no longer shaped by nostalgia, positive sentiment, emotional cues or storytelling. They are driven by logic, parameters and data. The algorithm does not care if Dua Lipa fronted the last campaign, how charming the copy was, or whether the brand won awards for creative excellence. It cares about price, speed, availability and performance.
Viewed through this lens, certain sectors look particularly exposed. Take telecommunications, insurance or utilities. These are industries that have historically relied on campaigns designed to create preference in crowded, often undifferentiated markets. Yet in the UK at least, switching providers has deliberately been made frictionless. Ofcom has made switching easier than ever. Insurance comparison is almost entirely digital. Energy tariffs can be changed with a few clicks.
There’s very little now that compels consumers to engage meaningfully with these brands. They do not need to visit a store, study tariff tables or sit through advertising. An AI agent could monitor the market continuously and switch users to better deals without any active involvement. That is not brand competition in the traditional sense; it’s churn.
Despite this reality, most brand strategies still behave as if human attention will remain the primary battleground. We need to prepare for a fundamental shift in how value is discovered and selected.
From awareness to eligibility: the new role for brands
For decades, we’ve treated awareness as the foundation of growth. Be famous. Be distinctive. Be top of mind. When the moment of choice arrives, ensure your brand is mentally available. That logic remains sound – but only if a human is making the decision.
An AI agent does not remember your jingle or favour your colour palette. It does not feel reassured by your heritage or inspired by your purpose. It simply calculates against a defined set of criteria.
This does not mean brand disappears, but its role shifts. Marketeers must move upstream from the moment of choice to defining the parameters of the choice itself.
Encoding values into AI
Discussions about automation often miss a critical point: humans still define the criteria. A user may delegate comparison and selection to an AI, but they still decide what it optimises for. They might instruct it to prioritize companies with high customer service ratings, favour businesses with strong sustainability credentials, or exclude brands that have suffered data breaches. Human values, identity, and worldview remain central – they are simply expressed differently.
Trust, identity signalling, ethical alignment: these human drivers do not disappear just because a machine intermediates the transaction. In fact, they may become more explicit. Rather than being subconsciously influenced by advertising, consumers will consciously encode their preferences into the system.
In that world, the role of brand becomes less about capturing attention in the moment and more about establishing a presence so clear and widely understood that people choose to embed it into their decision rules. The brands that endure will be those that stand for something concrete enough to be deliberately included in the instructions given to machines.
Operational resilience and symbolic value
This dynamic helps explain why operational-first companies, like Octopus Energy, may prove more resilient than legacy incumbents. Their reputation is grounded in operational behaviour, not just communication. In an ecosystem where machines evaluate performance and reliability, that kind of structural advantage matters.
At the other end of the spectrum, luxury and hype-driven brands operate in a space that is less vulnerable to optimisation logic. A Rolex is not chosen because it is the most efficient timekeeping device, and Hermès does not compete on price-performance metrics. Scarcity, symbolism and social signalling remain deeply human dynamics, and as functional categories commoditise, those symbolic categories will likely become even more pronounced.
The biggest risk sits in the middle. The brands whose differentiation relies primarily on communication rather than capability. Agentic AI will expose decorative branding with uncomfortable clarity. If your distinctiveness lives in marketing but not in service, performance or trust, optimisation will reduce your value to price alone.
So, what’s the path forward?
For branding professionals, this is not a minor adjustment; it is a structural reframing. The future will rely less on megaphones and more on architecture. We must move away from simply generating awareness toward establishing qualities so credible and so consistent that they influence how customers configure their digital proxies. The question is no longer just how to be noticed, but how to be retrievable, recommendable, and selectable inside AI-driven systems.
This is where Generative Engine Optimization (GEO) begins to matter. Brands will need to think less in terms of impressions and more in terms of machine-readable signals of trust, performance, and relevance – the inputs that shape whether an AI system even considers them in a ranked set of options. Practically, this means building brand equity in ways that can be consistently interpreted by both humans and machines: structured proof of service quality, transparent value signals, strong third-party validation, and behavioural consistency over time.
This transformation will not arrive in one, dramatic announcement. It will unfold gradually, as convenience wins and delegation becomes the default. Yet, its implications are profound. In a world where brand appears to matter less because machines do the choosing, the brands that survive will be those that matter enough for people to explicitly include them in the systems that choose on their behalf.
That is a far higher bar than awareness. It demands a serious evaluation of what a brand is built to achieve – and increasingly, a shift toward designing for visibility in AI systems, not just in culture.
Deva Corriveau is Creative Director at Brandpie, a global brand consultancy unlocking growth at pivotal moments of business change. Based in London, he specialises in translating strategy into category-defining, enduring brand work that seamlessly integrates within organizations. His past clients include Unilever, Diageo, and Google.
For most of modern marketing history, brand building has centred on shaping perception at the moment of choice. We obsess over awareness, visibility, and emotional resonance because we understand – correctly – that when a person is confronted with options, the brand that feels most familiar, distinctive, or meaningful is the one most likely to be chosen. Entire industries have been built around influencing that brief human moment.
But what happens when that moment no longer belongs to a human being?
A shift is already underway – one the marketing and creative industries have yet to fully confront. Much of the current conversation focuses on AI as a tool: writing sharper copy, generating more efficient creative. But a deeper, more structural transformation is emerging. The rise of agentic AI systems will fundamentally reshape how businesses approach brand building.
As this shift becomes embedded in everyday life, it will quietly challenge one of the core assumptions that has guided brand strategy for decades: that humans are the primary decision-makers.
Automated decision making and its implications
Take something mundane, like ordering a takeaway. Consumers don’t feel a deep emotional connection to whether dinner arrives via Just Eat, Deliveroo or Uber Eats. They may have habits or interface preferences, but they don’t meaningfully care about the logo on the rider’s jacket or the tone of voice in their advertising. Yet these businesses still spend tens of millions each year trying to build precisely that sense of distinction.
Now imagine a step beyond this. Instead of opening an app at all, the consumer simply instructs an AI assistant to order a pizza. The system scans available providers, evaluates delivery times, compares pricing, reviews reliability data, and executes the transaction. The entire process takes place behind a seamless, invisible layer of automation. The user does not browse. They do not compare. They are not exposed to campaigns or nudged by distinctive brand assets. The decision is simply optimized.
From a consumer perspective, this is seamless and efficient. From a brand perspective, it’s an unsettling shift in how choice is made and where influence sits.
The algorithmic consumer – a new challenge for brands
In this environment, decisions are no longer shaped by nostalgia, positive sentiment, emotional cues or storytelling. They are driven by logic, parameters and data. The algorithm does not care if Dua Lipa fronted the last campaign, how charming the copy was, or whether the brand won awards for creative excellence. It cares about price, speed, availability and performance.
Viewed through this lens, certain sectors look particularly exposed. Take telecommunications, insurance or utilities. These are industries that have historically relied on campaigns designed to create preference in crowded, often undifferentiated markets. Yet in the UK at least, switching providers has deliberately been made frictionless. Ofcom has made switching easier than ever. Insurance comparison is almost entirely digital. Energy tariffs can be changed with a few clicks.
There’s very little now that compels consumers to engage meaningfully with these brands. They do not need to visit a store, study tariff tables or sit through advertising. An AI agent could monitor the market continuously and switch users to better deals without any active involvement. That is not brand competition in the traditional sense; it’s churn.
Despite this reality, most brand strategies still behave as if human attention will remain the primary battleground. We need to prepare for a fundamental shift in how value is discovered and selected.
From awareness to eligibility: the new role for brands
For decades, we’ve treated awareness as the foundation of growth. Be famous. Be distinctive. Be top of mind. When the moment of choice arrives, ensure your brand is mentally available. That logic remains sound – but only if a human is making the decision.
An AI agent does not remember your jingle or favour your colour palette. It does not feel reassured by your heritage or inspired by your purpose. It simply calculates against a defined set of criteria.
This does not mean brand disappears, but its role shifts. Marketeers must move upstream from the moment of choice to defining the parameters of the choice itself.
Encoding values into AI
Discussions about automation often miss a critical point: humans still define the criteria. A user may delegate comparison and selection to an AI, but they still decide what it optimises for. They might instruct it to prioritize companies with high customer service ratings, favour businesses with strong sustainability credentials, or exclude brands that have suffered data breaches. Human values, identity, and worldview remain central – they are simply expressed differently.
Trust, identity signalling, ethical alignment: these human drivers do not disappear just because a machine intermediates the transaction. In fact, they may become more explicit. Rather than being subconsciously influenced by advertising, consumers will consciously encode their preferences into the system.
In that world, the role of brand becomes less about capturing attention in the moment and more about establishing a presence so clear and widely understood that people choose to embed it into their decision rules. The brands that endure will be those that stand for something concrete enough to be deliberately included in the instructions given to machines.
Operational resilience and symbolic value
This dynamic helps explain why operational-first companies, like Octopus Energy, may prove more resilient than legacy incumbents. Their reputation is grounded in operational behaviour, not just communication. In an ecosystem where machines evaluate performance and reliability, that kind of structural advantage matters.
At the other end of the spectrum, luxury and hype-driven brands operate in a space that is less vulnerable to optimisation logic. A Rolex is not chosen because it is the most efficient timekeeping device, and Hermès does not compete on price-performance metrics. Scarcity, symbolism and social signalling remain deeply human dynamics, and as functional categories commoditise, those symbolic categories will likely become even more pronounced.
The biggest risk sits in the middle. The brands whose differentiation relies primarily on communication rather than capability. Agentic AI will expose decorative branding with uncomfortable clarity. If your distinctiveness lives in marketing but not in service, performance or trust, optimisation will reduce your value to price alone.
So, what’s the path forward?
For branding professionals, this is not a minor adjustment; it is a structural reframing. The future will rely less on megaphones and more on architecture. We must move away from simply generating awareness toward establishing qualities so credible and so consistent that they influence how customers configure their digital proxies. The question is no longer just how to be noticed, but how to be retrievable, recommendable, and selectable inside AI-driven systems.
This is where Generative Engine Optimization (GEO) begins to matter. Brands will need to think less in terms of impressions and more in terms of machine-readable signals of trust, performance, and relevance – the inputs that shape whether an AI system even considers them in a ranked set of options. Practically, this means building brand equity in ways that can be consistently interpreted by both humans and machines: structured proof of service quality, transparent value signals, strong third-party validation, and behavioural consistency over time.
This transformation will not arrive in one, dramatic announcement. It will unfold gradually, as convenience wins and delegation becomes the default. Yet, its implications are profound. In a world where brand appears to matter less because machines do the choosing, the brands that survive will be those that matter enough for people to explicitly include them in the systems that choose on their behalf.
That is a far higher bar than awareness. It demands a serious evaluation of what a brand is built to achieve – and increasingly, a shift toward designing for visibility in AI systems, not just in culture.
Deva Corriveau is Creative Director at Brandpie, a global brand consultancy unlocking growth at pivotal moments of business change. Based in London, he specialises in translating strategy into category-defining, enduring brand work that seamlessly integrates within organizations. His past clients include Unilever, Diageo, and Google.
