Ask any modern (post-GPT-2) LLM about a random color/name/city repeatedly a few dozen times, and you'll see it's not that random. You can influence this with a prompt, obviously, but if the prompt stays the same each time, the output is always very similar despite the existence of thousands of valid alternatives. Which is the case for any vibecoded thing that doesn't specify the color palette, in particular.
This effect is largely responsible for slop (as in annoying stereotypes). It's fixable in principle, but there's pretty little research and I don't see big AI shops care enough.
Grok almost never uses emojis.
Would it be the case for folks who don't have any idea what Lovable is.
Familiar UI is similar to what Tailwind or Bootstrap offers, do they do something different to keep it fresh?
Average internet users/consumers are likely used to the default Shopify checkout.
The Stripe or Shopify checkout is familiar, but it only became familiar because it was well designed and people wanted to keep using it.
Also when its obvious someone used an LLM, it bleeds into my overall opinion of the product whether the product is good or not. I assume less effort was put into the project, which is probably a fair assumption.