AI’s Branding Crisis: Why Gemini and Its Rivals Are Confusing Consumers

Google’s Gemini has a branding problem and it’s far from alone.

In a recent announcement about new voice features for Gemini Live, Google made a compelling promise: “You shouldn’t have to guess whether a task requires Spark, a Daily Brief, or a quick inbox search.” It’s a noble sentiment. But as TechCrunch’s Sarah Perez points out, there’s an ironic twist: Google has given every Gemini AI feature its own distinct branding, complete with separate icons and navigation spots within the app.

This fragmentation directly undermines the user experience the company claims to champion.

The Feature Fragmentation Fallacy

When users open the Gemini app, they’re greeted with three separate features chat, Spark, and Daily Brief each requiring its own mental model. Instead of a unified, intuitive interface, consumers must learn which “mode” is appropriate for which task. It’s a classic case of engineers designing for internal structure rather than user needs.

Take Daily Brief, for instance. What should be a helpful AI-powered agenda, pulling from Gmail and Calendar to offer “proactive, personalized updates,” often misses the mark. In practice, it struggles to distinguish between genuinely urgent information and unsolicited nudges. Worse, it might resurface your past Google searches a feature that feels less helpful and more unsettling. Who wants an AI tapping them on the shoulder about that random scholarship or animal rescue they researched weeks ago?

On the flip side, Spark represents one of Gemini’s most genuinely useful capabilities an AI agent that can take action on your behalf. Yet Google has packaged it as its own standalone brand, forcing users to decide whether they need to “chat” or “spark.” This is internal engineering structure being exposed to end users, and it’s a recipe for confusion.

An Industry-Wide Problem

To be fair, Google isn’t alone in this misstep. The AI industry seems collectively afflicted by the tendency to expose internal architecture directly to consumers.

• Anthropic’s Claude forces users to choose between “chat” and “cowork” modes two environments that, until recently, didn’t even share memory of past conversations.
• ChatGPT similarly requires switching between “Chat” and “Work” modes.

This isn’t intuitive interaction; it’s training users to understand engineering boundaries. As Perez notes, “Consumers are being asked to learn the brand names for what are essentially interaction modes or surfaces, powered by a company’s AI model.”

Why Simple Interfaces Win

This phenomenon may explain why Apple’s approach to AI, while seemingly underwhelming, could ultimately win consumer hearts. Apple device owners don’t need to learn new interfaces or modes. The company simply makes existing tools Spotlight Search, Photos, the camera, Siri smarter without asking users to change their behavior.

Similarly, the rise of text-based AI services (like Poke, Ollie, Lindy, and others) points to what users truly want: simplicity. As a16z investment partner Justine Moore recently observed, “People don’t want to open an app every time they need help they want a contact they can text like a friend.”

Text messaging is a clean, universally understood interface. It requires no additional mental effort to figure out which feature or product within a larger app you’re supposed to use.

The Path Forward

The AI industry stands at a crossroads. The underlying technology is powerful and transformative, but its interface design is stuck in an engineering-first mindset. If companies want mainstream adoption, they need to hide complexity behind elegant simplicity.

Google’s Gemini isn’t alone in its branding problem but it’s a perfect case study of what happens when internal product structure dictates consumer experience. The promise that “you shouldn’t have to guess” rings hollow when the interface forces exactly that kind of guesswork.

The winners in the AI race won’t necessarily be those with the most powerful models, but those who make their AI feel like a natural extension of how people already work and communicate. Sometimes, the most innovative thing you can do is get out of the user’s way.