Multidisciplinary Designer
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Kubsxyz
Working with a team on creating the future of work by superpowering organizations with cloud-based teams
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+234-706-730-8739
2025

For years, SEO has been one of the biggest drivers of discoverability on the internet. If someone wanted to know the best project management software, the best payment gateway, or the best design agency, they typed a query into Google, scrolled through the results, and clicked a website.
That behavior is changing.
Today, people ask ChatGPT, Claude, Gemini, Perplexity, and other AI models the same questions. Instead of receiving ten blue links, they receive a direct answer with a shortlist of brands. That shift introduces a new discipline called Generative Engine Optimization, or GEO.
While SEO focuses on helping your website rank on search engines, GEO focuses on increasing the likelihood that AI models recommend your brand when people ask relevant questions.
The question is no longer, "Can people find your website?"
The question is now, "Will an AI mention your company when someone asks for the best solution?" That is a very different problem.
When people hear about GEO, they immediately think about content marketers, SEO specialists, or growth teams.
I think Brand Designers belong in that conversation too. The reason is simple.
AI models recommend brands they can confidently understand. That confidence does not come from keywords alone. It comes from consistency, clear positioning, recognizable visual identity, well-structured product pages, documentation, educational content, research, case studies, public trust — a coherent story across every customer touchpoint.
Brand Design influences many of those assets.
That means Brand Designers are quietly contributing to whether AI understands a company well enough to recommend it.
Whenever I work with a company today, one question keeps coming to mind: "If I asked five different AI models about this category today, would this brand even appear?"
Instead of evaluating only how a website looks, I start evaluating how clearly the brand communicates. Instead of asking whether a landing page is beautiful, I ask whether it explains the product in language that both humans and AI can easily understand. Instead of focusing only on visual consistency, I think about information consistency.
Can someone describe the company in one sentence? Is the positioning obvious? Do different pages contradict one another? Does the product have a recognizable point of view?
These questions influence GEO just as much as traditional SEO.
Open multiple AI models. Then ask all of them the same questions:
"What is the best fintech app for immigrants?"
"What are the best tools for brand management?"
"What are the best illustration generators?"
"What are the best payment APIs for developers?"
"What companies are leading in..."
Then compare the answers. Which brands appear repeatedly? Which brands never appear? How are they described? What language keeps showing up?
Those patterns reveal something incredibly valuable. They show how the internet has taught AI to perceive a brand.
If your company never appears, that is not always because your product is bad. Sometimes it simply means your expertise has not been communicated consistently enough for AI systems to confidently recommend you.
Side note: You can use https://wuvr.ai/ to take a more detailed test.
Many designers still think their job ends with visual identity. It is my full time job to disagree.
Our job is to create clarity. Every illustration, icon, landing page, infographic, product visual, documentation page, comparison graphic, and educational asset contributes to how a company is understood.
The clearer the communication, the easier it becomes for both people and AI to understand what the company actually does. That matters more than ever. Think about companies like Stripe.
Their visual identity is strong, but what makes them unforgettable is clarity. Their documentation, diagrams, illustrations, product pages, and educational content all communicate one consistent message. Whether a developer visits their website or asks an AI about payment infrastructure, Stripe has spent years creating assets that consistently reinforce what the company stands for.
Apple follows a similar philosophy. Every launch, every landing page, every product image, every keynote, and every support article reinforces the same message of simplicity and thoughtful product design. That consistency shapes human perception, and increasingly, it shapes how AI systems describe the company as well.
That is branding. Not just aesthetics. Information architecture. Consistency. Recognition.
One misconception I see is people treating GEO like another growth hack. It is not. You cannot trick AI into consistently recommending your brand. The same things that earn human trust usually earn AI confidence.
The better your brand communicates those signals, the more likely it is to be mentioned when people ask AI for recommendations.
The role of Brand Designers has quietly evolved over the last decade.
We used to design primarily for print, websites, social media, products. Now we are designing for AI-assisted discovery.
That does not mean we optimize prompts. It means we build brands that are easy to understand, easy to trust, and impossible to confuse. Because in the age of Generative Engine Optimization, discoverability is no longer just about ranking first on Google. It is about becoming one of the brands AI confidently recommends when people ask the questions that matter.