I built Seevora because AI homepage feedback felt too vague

I built Seevora.net because I kept hitting the same problem with AI homepage feedback.

It could sound smart, but a lot of the time it still felt vague, inconsistent, or too generic to be genuinely useful. Even when the observations were decent, they often were not structured in a way that helped with actual decisions.

So I wanted to build something that felt less like a one-off prompt and more like a repeatable workflow.

Seevora turns a homepage into a structured report across four areas: clarity, discoverability, AI visibility, and persuasion.

The point is not just to generate feedback, but to make that feedback usable by showing what the homepage communicates clearly, what still has to be inferred, what matters most, and what to fix first.

What I personally like most is that the output feels more productized. You get a clearer summary, prioritized issues, quick wins, and rewrite-ready suggestions instead of loose commentary.

I built it because I wanted something more consistent than ad hoc prompting, and more actionable than generic website feedback.

I’m launching it on Product Hunt and would genuinely love honest feedback from other founders and builders.