[mvdtnz]

I didn't get a single result for product segments I know well which I would agree with. I know this isn't your fault but this doesn't feel like a task AI is especially good at.

A feature that is entirely missing here is price constraints. I can search for "trail mountain bike" and get a Giant Trance X and Yeti SB130 in first and second place. Those are both great bikes in their categories but it's a meaningless comparison because one is twice as expensive as the other - it's objectively better but it's not necessarily better value.

[the1024]

That's a great point - we built this moreso to learn a bit about how the AI models interpret ranking products, and less so to actually be a trusted source of recommendations. Seeing the citations come through has been really fascinating.

The use case for that is to better understand where the gaps are when looking to capture this new source of inbound, given people are using AI to replace search.

There's definitely a whole bunch of features missing that we'd need to make this a genuinely useful product recommendation engine! Price constraints, better de-duping, linking out to sources to show availability, etc.