The internet as we knew it is doomed to be full of ai garbage. It's a signal to noise ratio issue. It's also part of the reason the fediverse and smaller moderated interconnected communities are so important: it keeps users more honest by making moderators more common and, if you want to, you can strictly moderate against AI generated content.
The good thing about that is that this kills the LLMs, since new models can only be trained on this LLM generated gibberish, which makes the gibberish they'll generate even more garbled and useless, and so on, until every model you try to train can only produce random useless unintelligible garbage.
And you can use multiple models, which I find handy.
There is some stuff that AI, or rather LLM search, is useful for, at least the time being.
Sometimes you need some information that would require clicking through a lot of sources just to find one that has what you need. With DDG, I can ask the question to their four models*, using four different Firefox containers, copy and paste.
See how their answers align, and then identify keywords from their responses that help me craft a precise search query to identify the obscure primary source I need.
This is especially useful when you don't know the subject that you're searching about very well.
*ChatGPT, Claude, Llama, and Mixtral are the available models. Relatively recent versions, but you'll have to check for yourself which ones.