Found a neat micro-tool solving the AI companion clutter problem

If you have been paying attention to consumer AI trends lately, the companion and roleplay chatbot space has exploded. There are dozens of new apps launching every month, each promising realistic conversations, persistent memory, or deep character customization.

The problem is the discovery experience is completely broken. Most of the directories out there are just bloated link farms with zero signal on what the apps actually do well or how their pricing models work.

I stumbled across Chat Bots Compared (https://chatbotscompared.com/) recently and really liked the execution.

Instead of dumping a huge list of apps on the user, it runs you through a clean 6-question interactive quiz. It asks what you actually prioritize, whether that is voice features, community character hubs, deep customization, or conversational realism, and then matches you directly with the platform that fits best.

It is a great example of solving a real discovery bottleneck in a crowded niche using a lightweight recommendation funnel rather than an over-engineered directory.

Has anyone else built or tested quiz-style recommendation engines like this for software curation? Curious if that UX pattern tends to convert better than standard category filters.