Brand
When everyone has the same tools, imagination wins

August 2026
Shared tools can produce shared answers. Imagination is how a brand notices what the category has missed and gives buyers something worth remembering.
TL;DR
- Shared tools create shared language: Research, platforms, and AI can improve the work while pulling brands toward familiar answers.
- Benchmarking is a map: It shows where others have gone, but it does not decide where a brand is allowed to go next.
- Distinctive ideas travel farther: A clear point of view gives buyers and AI systems something specific to associate with the brand.
- Human judgment still leads: AI can expand possibilities, but people decide what they believe, defend, and build.
What is brand imagination?
Brand imagination is the ability to see and name a useful possibility before the data, category, or competitive audit has already made it obvious. It helps a brand move beyond matching competitors and create language, experiences, and points of view that feel true, relevant, and ownable.
The map is useful
I live in Vermont, and I’m a runner. So I trust a good trail map.
A map tells me where the trail begins, how much climbing lies ahead, and whether the route will bring me back to where I left the car. But a map can only show me where someone else has already been.
I’ve been thinking about that because marketing has become very good at following maps.
When serious work leads to sameness
Last quarter, I read three positioning documents from companies competing for the same buyer. Each was thoughtful, researched, and full of familiar evidence: customer insights, competitive analysis, search data, message testing, and well-considered language.
None of them was bad. But without the logos, I’m not sure I could have told you which company was which.
Somewhere along the way, the map can become a set of instructions. The language everyone uses begins to feel like the language everyone must use. That is when brand voice stops being a copy layer and starts becoming a strategic defense.
Research on AI-supported ideation suggests this risk may grow as more teams use the same models in similar ways. AI can help individuals generate more detailed ideas while drawing different users toward ideas that are less distinct from one another.1
The tool does not eliminate creativity. The way we use it can still narrow the field.
The destination still needs a choice
Benchmarking tells us where others have gone, where the ground is crowded, and which routes the category considers safe. But it cannot tell us whether the destination is still worth reaching.
That is where imagination matters. It helps us recognize the white space, not as an empty box on a positioning chart, but as the idea no one else has seen clearly enough to claim.
When every company has access to similar research, data, platforms, and models, the advantage cannot live in access alone. AI is making marketing faster and more productive, particularly in content development, personalization, and campaign execution.2
That makes the human contribution more important. The advantage comes from what you notice, believe, and name before there is a well-worn path.
Findable is not the same as memorable
The way buyers discover and evaluate companies is changing. AI-powered search is making questions longer, more complex, and more conversational.3 A company may now meet a buyer through an AI-generated answer before that person visits its website or speaks with sales.
When the language surrounding a brand sounds nearly identical to the language of its category, there may be little for either the buyer or the system to hold onto.
This is where entity-based discoverability becomes a brand question, not only a search question.
Distinctive brand assets have always helped people recognize a company in a crowded environment. Ehrenberg-Bass research emphasizes that these assets work when they are both famous and unique to the brand.4 But distinctiveness also lives in the idea a brand owns.
The phrase it repeats. The pattern it names. The belief it is prepared to defend. These give people, and increasingly machines, something specific to remember.
Human-led work means accountable thought
There is a lot of anxiety about AI-generated writing. Some of it may be aimed at the wrong problem.
Most readers are probably less interested in whether AI touched the copy than in whether a human idea survived the process. Generic writing existed long before generative AI.
The question is not simply who wrote the words. The question is whether anyone thought before the words were written.
A model can propose a position, challenge one, strengthen one, and generate twenty alternatives before breakfast. What it cannot do is believe one. That remains our responsibility.
Finding the unmarked trail
Imagination does not require a company to become strange for the sake of being noticed. A distinctive idea still has to be true, useful, and credible.
Set the competitive audit aside for just a minute and ask what you believe before reviewing what everyone else believes. Ask what problem, pattern, or tension you keep noticing.
Then publish the reasoning that led you to the conclusion, not only the conclusion itself. Conclusions often converge. Reasoning is more personal.
That is often where a real point of view begins. It is also where brand memory begins.
Key takeaway
The tools will continue to converge. What competitors do not have is your way of seeing, unless you choose not to use it. Imagination is not the opposite of rigor. It is what gives rigor somewhere new to go.
FAQs
Is benchmarking still useful?
Yes. Benchmarking can reveal category expectations, weaknesses, and points of necessary parity. It becomes limiting when we ask it to create a distinctive position. It can show what already exists, but it cannot identify an idea that no one has claimed yet.
How is imagination different from being different for its own sake?
Imagination is not novelty without purpose. A distinctive position still has to be true, relevant, and defensible. The goal is to recognize something meaningful that others have overlooked and express it in a way the brand can credibly own.
Where does AI visibility fit into this?
AI systems form associations from information connected to a brand. When a company uses the same language as the rest of its category, an AI-generated answer may struggle to describe what makes it specific. Distinctive language and published reasoning give it clearer associations to work with.
Can AI help a company become more imaginative?
Yes. AI can challenge assumptions, identify patterns, offer alternatives, and help a team explore an idea from several angles. It can widen the field. The human role is to decide which possibility matters, whether it is true, and whether the company is willing to stand behind it.
Sources:
1 Barrett R. Anderson, Jash Hemant Shah, and Max Kreminski. "Homogenization Effects of Large Language Models on Human Creative Ideation." arXiv, 2024. https://arxiv.org/abs/2402.01536
2 Eli Stein, Jamie Wilkie, Julien Boudet, Kelsey Robinson, and Lalit Bhagia. "From Campaigns to Continuous Growth: AI Capabilities Shaping Marketing." McKinsey & Company, June 22, 2026. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/from-campaigns-to-continuous-growth-ai-capabilities-shaping-marketing
3 Think with Google Editorial Team. "5 AI-Powered Search Behaviors That Have Flattened Marketing." Google, January 2026. https://business.google.com/uk/think/ai-excellence/ai-powered-search-behavior/
4 Jenni Romaniuk. "Brands of Distinction." Ehrenberg-Bass Institute for Marketing Science. https://marketingscience.info/news-and-insights/brands-of-distinction
When the marked paths all lead to the same place, look beyond the map.


