What inspired you to build this? MagicPod has always been about making quality assurance accessible without engineering overhead. We kept hearing from marketing teams and web managers struggling to catch broken links, layout breaks, and accessibility issues on their live sites — often finding out from users instead. We had the AI crawling technology to solve this, so we built SiteRover for them. What problems were you trying to solve? Website quality issues accumulate silently — broken links after content updates, typos, design regressions, accessibility violations — and most teams only find out when someone complains. Existing tools either require technical setup or only cover one issue type. SiteRover just needs a URL and surfaces all of it in one pass. How did your approach or process evolve while working on this launch? We initially built for QA engineers already using MagicPod, but quickly realized the real user is someone who doesn't think of themselves as a tester — a web manager, a marketer, a government agency content team. That shifted everything: simpler UX, zero configuration, and a hybrid AI + rule-based detection approach to minimize false positives that non-technical users can't easily triage.

SiteRover

Just enter a URL. Let AI check your website.

Just enter a URL. Let AI check your website.