Evidence
Screenshots, rendered HTML, headers, crawl data and findings.
Proof and trust
33,991+ launch issues found and counting.
PageLens AI uses scan evidence, customer feedback and verified badges. Lead with the problems we have helped surface, then read the public feedback from founders and teams using those findings to ship cleaner launches.
Four layers of proof, not one marketing claim.
PageLens AI credibility comes from repeatable scan evidence, approved customer feedback, public verified credentials and before/after stories that show what changed.
Feedback
Approved customer comments and founder/operator context.
Case studies
Before/after scans that show fixes and score movement.
Verified badges
Owner-verified public trust pages with signed scores.
Issues found
33,991+
Backed by completed scan data where available.
Pages analysed
1,827
Backed by completed scan data where available.
Scans completed
357
Backed by completed scan data where available.
Customer feedback.
We only publish approved feedback and keep claims grounded in what PageLens AI can actually verify.
“PageLens AI feels like a reliable, no-nonsense auditing companion that saves time and removes guesswork. If you're looking to systematically improve your website without getting lost in overly complex tools, it's a strong choice.”
Charlie (Director)
Content Platform
“Without PageLens AI we were blind to what the real perception of our website was, and we're very pleased and proud to be presenting our PageLens AI score 🚀”
Director
Local Village Care
“Cutting edge design for the scans and the results afterwards, reports are the last call to action you do not ask for anything more. All details are professionally counted for and discussed into painful details.”
Verified customer
“Found a critical accessibility issue on our checkout page within the first minute. Paid for itself instantly.”
B.K.
Shopify founder
“Honestly cheaper than spending an afternoon doing a manual review — and far more thorough.”
A.M.
Indie SaaS founder
“The Markdown export made the report useful immediately. I could hand the findings to Cursor instead of turning an audit into another manual task.”
J.R.
AI app founder
Case studies.
See real before-and-after scan data from sites that used PageLens AI to ship launch-ready.
unremarkableart.com
86 to 96: A $1 scan surfaced the issues that would have damaged trust on launch day. A 24-hour repair sprint and a deeper Launch Pack re-scan moved the site from 86 to 96 while testing 5x more pages.
Read storyAI app launch workflow
71 to 91: This representative workflow shows how an AI-built app team can use PageLens AI to move from a working prototype to a clearer, safer launch surface with stronger metadata, privacy cues and mobile evidence.
Read storyAgency client handoff
78 to 94: This representative agency workflow shows how PageLens AI can package SEO, accessibility, mobile, tracking and trust issues into a client-ready before/after story.
Read story