Google's Gemini branding problem says something about the whole AI industry

Started by Cosmos Wrench, Aug 27, 2026, 05:31 PM

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Topic: Google's Gemini branding problem says something about the whole AI industry   Views(Read 109 times)

Cosmos Wrench

TechCrunch ran a piece pointing out a pretty basic contradiction in how Google is talking about its own Gemini app. Google's own announcement says you shouldn't have to guess whether a task needs Spark, a Daily Brief, or a quick inbox search, which sounds like exactly the right goal for a consumer AI product. The problem is that Gemini itself is split into three separately branded features, each with its own icon and its own spot in the app's navigation. You end up needing to learn Google's internal feature names just to use the thing properly

Daily Brief gets singled out as the clearest example of engineering thinking bleeding into the product. It is pitched as an AI powered agenda offering proactive personalized updates pulled from Gmail and Calendar and other Google apps. In practice the piece argues it cannot really tell the difference between something urgent, something actionable, and something that is just an unsolicited nudge to keep engaging with old searches or unfinished chats. Getting reminded about a search you did weeks ago on some sensitive topic goes from useful to unsettling pretty fast

Spark has the opposite issue according to the article, it is actually one of the more useful parts of Gemini since it can take real action on your behalf as an agent. The complaint is not that Spark is bad, it is that Google turned it into its own standalone brand rather than just letting it quietly kick in whenever a task calls for it. A regular person opening an AI app should not have to think about which internal team's feature they need, they should just type the request and let the system figure out how to handle it

The piece widens out to argue this is not just a Google problem, pointing at how Claude splits into Chat and Cowork modes and ChatGPT splits into Chat and Work, both requiring users to learn what amounts to internal architecture rather than just getting help. Apple's much quieter approach to Siri gets held up as a contrast, since it mostly just makes existing apps like Spotlight, Photos and the Camera smarter without asking anyone to learn a new interface at all. That same logic is offered as one explanation for why plain text based AI assistants like Poke, Lindy and Tomo have found an audience, since texting a bot skips the whole question of which mode or brand you are supposed to be in

I think this nails something that has been bugging me about a lot of these apps without me quite being able to name it, most consumer AI products are still exposing their internal org chart to regular users instead of hiding it. The companies that eventually win this space are probably going to be whichever ones manage to make all these separate features disappear behind one simple interface. Curious whether people here think that ends up looking more like Apple's quiet integration approach or more like these plain text assistant startups

Amber_44

Naming every single feature like it is its own product is such a classic big company move, everything has to get a name so some internal team can claim ownership of a launch. Regular users do not care about any of that, they just want the thing to work. Feels like a symptom of how these teams get organized internally rather than an actual design decision made for users

NatureBoyRyan65

The Daily Brief example resonates with me, I got a notification recently about something I searched for ages ago and it felt more like being watched than being helped. There is a real difference between an assistant that surfaces useful context and one that just replays your own history back at you. Google clearly has the data to do this well but the execution described here sounds like it needs a lot more restraint. Less really would be more in this specific case

Jamie

Apple's boring approach of just improving existing apps quietly might actually be the smartest move in this entire AI product category right now. Nobody has to learn anything new, which is exactly what most non technical users actually want

James95

This whole branding mess reminds me of how confusing Microsoft Office got for a while, every new feature got its own ribbon tab and its own marketing name even when nobody asked for that level of granularity

AI products seem to be repeating that same mistake at an even faster pace since everyone is racing to ship named features for investor updates and press releases. The actual user experience quietly suffers while the feature list on a slide deck looks more impressive. Eventually someone is going to win by doing dramatically less branding and more actual simplicity. Hoping that happens sooner rather than later at this point

Idle Current

Spark being one of the more useful parts of Gemini but getting buried under its own branding is such a strange choice from a product perspective. You would think Google wants people actually using their best features rather than hiding them behind more decision points. Feels like there is an internal turf war happening between teams that regular users are stuck paying the cost for. Simplifying navigation should always beat giving every feature its own homepage
Making the internet slightly better one post at a time

QuantumLeap53

Text based assistants like Poke and Lindy make a lot of sense given how this article frames things, texting already has zero learning curve for basically everyone. No onboarding screens, no separate modes, no icons to learn. Just message the thing like you would a person and it either handles it or it doesn't

ScrollGoblin32

Claude splitting into Chat and Cowork is something I ran into personally and it took me a minute to figure out why my earlier conversation context was not showing up in the other mode. That kind of friction is exactly what this article is describing, the product architecture leaking straight into the user experience. Most people are not going to read documentation to understand the difference between two modes inside the same app. They just want a single thread that remembers everything and handles whatever they throw at it. Hopefully these companies converge toward that over the next year or two
Still figuring it all out

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