After I’ve made suggested changes, I’d like to be able to request a re-check to see if they’ve made the expected impact or if there are further recommendations. I want this to be an iterative process.
Hi @angel_maenza, welcome, and thanks for the great suggestion!
What you’re describing is exactly how we want Beamtrace used: re-check after changes and treat it as an ongoing loop from the start. Just so you know, AI Visibility already gets checked regularly depending on your plan, so it’s not a one-time option even now.
One honest note up front, though: AI visibility behaves a lot like SEO. After you act on a recommendation, the effect usually isn’t immediate and isn’t guaranteed — models get retrained, competitors shift, and AI answers get rewritten, often independently of anything you changed. So a re-check might show improvement, no change, or movement that’s hard to pin on your specific edit.
What our recommendations do is improve your odds, so they’re an informed bet on what tends to move the needle, not a switch that flips a result. That’s also why ongoing monitoring matters: the ground keeps shifting, and you want to catch it when it does.
So yes to the iterative process — that’s the whole point. We just want to be straight that “change → result” can take time and won’t always be a straight line.