Example outcome
Your AI builder got the page live. PageLens AI tells you what to improve next so search engines, AI answers and real visitors can understand, trust and act on it.
1 public page checked like a cold visitor
3 visible growth fixes for trust, clarity, mobile, SEO, accessibility, or conversion
1 AI-builder-ready prompt or fix instruction
Fixes you can ship in Cursor, Lovable, Bolt, Replit, Codex, or Claude Code
Get a fix queue you can ship in Cursor, Lovable, Bolt, Replit, Codex, or Claude Code.
The persuasive part of PageLens AI is the repair evidence: the score before, the specific fix, and the re-scan after the deployed site changed.
Example outcome
Growth workflow ladder
Paste the public URL first. Free Growth Baseline gives you 1 page checked, 3 visible growth fixes and 1 AI-builder-ready instruction; $1 Primary Scan gives you the complete fix queue; Launch Pack adds desktop/mobile evidence, fix prompts and one re-scan; Health Monitor keeps the live site checked as it changes.
What you get
Evidence, prioritized tasks, and paste-ready prompts before the account wall.
We crawl and render your page with a real browser, run 70+ checks across SEO, performance, accessibility, security, and AI-readiness, then turn the findings into a queue of fixes to ship first. Usually around 2 minutes.
Every task includes a structured prompt you can paste directly into Cursor, GitHub Copilot, Claude Code, Codex, Lovable, Bolt, or Replit. No translating technical audit output - the fix request is already written.
A score tells you how much is wrong. The stage ladder tells you where the page is stuck: findability, clarity, trust, risk, or traffic readiness.
Search engines, social previews, or AI systems cannot understand the page properly.
Fix metadata, crawlability, social previews, and AI/search clarity first.
A cold visitor cannot quickly tell what the page does, who it is for, or what to do next.
Tighten the headline, audience, offer, page structure, and primary call to action.
Proof, privacy, contact details, accessibility, mobile behaviour, or credibility signals are weak.
Add proof, trust cues, mobile/accessibility fixes, and credibility details before asking for action.
Output gallery
PageLens AI turns a scan into tasks, prompts, exports and proof that buyers, developers, agencies and site owners can act on.
The report starts as a work queue: problem, priority, why it matters, suggested fix, and verification target.
Built for founders, clients and operators.
Grouped by blocker, quick win and confidence builder so the next fix pass has a clear order.
Exports as Markdown.
Comparison
PageLens AI is not trying to replace every scanner. It connects live-page evidence to the repair workflow a founder or agency needs before traffic, users or clients arrive.
PageLens AI routes the same evidence into the right next step: AI-builder repair, search/AI visibility work, or client reporting.
Lovable, Bolt, Replit, Cursor or Codex got the page live. Check the public version for clarity, trust, SEO, AI answerability and conversion blockers.
Fast-built websites still need judgment after they go live: what to clarify, what to fix, what to publish, what to monitor and how to prove it worked. PageLens AI turns live-page evidence into owner decisions, scoped fixes and re-scan proof.
Ownership layer
Fast builders can get pages on screen. They do not own your search clarity, trust proof, accessibility gaps, conversion friction or weekly priorities.
PageLens AI starts from the buyer's situation: public attention, first users, ad spend, customer data or client handoff. The report then prioritises the fixes that matter for that exact moment.
Reddit, X or Indie Hackers
Use PageLens AI to catch obvious trust, mobile, metadata and accessibility gaps before the comments do.
Recommended: Launch Pack
Choose this pathPageLens AI turns a public URL into a growth baseline, a prioritized work queue and proof that the deployed site improved. The fix queue is the handoff. The product is the improvement loop, not a static audit.
01
Start with the live pages visitors, crawlers and answer engines actually see, then identify what blocks findability, trust or action.
02
Turn the scan into ranked tasks with impact, confidence, effort, page evidence, owner context and a verification target.
Point it at the site, let it inspect the public surface, then hand the highest-impact prompts to your coding agent or team.

PageLens starts with the page your visitors, buyers and AI answer engines actually see.

It ranks what is blocking findability, clarity, trust, conversion, AI answerability and technical confidence.
You get prioritized tasks, screenshots, severity ratings, copyable fix prompts and a re-scan path to prove improvement.
Keyword databases, backlink graphs and technical crawlers are useful. But the operating question is sharper: what should this live site improve next so real visitors, clients and AI answer engines understand, trust and act on it? That is the gap PageLens AI is built to close.
PageLens AI was created by Rich Moore, a technical consultant with 20+ years in performance, production engineering and technical consulting. It is built from the checks real teams need when improving live sites, reporting progress and sending traffic.
Honest boundary: PageLens AI is for public-site growth, trust and readiness checks, not deep enterprise penetration testing.
Not ready to scan yet? Get the site growth checklist.
Leave your email and we will send the practical checklist for findability, trust, AI answerability and conversion, plus the Free Growth Baseline link.
Real feedback from founders, marketers and product teams using PageLens AI to turn site evidence into a prioritized fix list.
44,093+
issues found
2,160
pages analysed
“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

PageLens AI reports are built to be actionable, but some findings still need context. Logged-in customers can click any report item and send it to me with the page, evidence and suggested fix attached, so I can explain it in plain English.
Every week we take a real nominated site, run it through PageLens AI, and turn the findings into a practical public review you can learn from before your own launch.
PageLens AI does not stop at a score. It turns the live page into a prioritized fix queue with evidence, visitor impact, suggested fixes, and prompts for Cursor, Lovable, Bolt, Replit, Codex, Claude Code or a developer.
Bad/abstract
SEO score: 68
Better/PageLens
Your hero does not say who this is for. Rewrite it so a cold visitor understands the outcome in 5 seconds.
Prompt example
Update the homepage hero to explain who this product is for, what outcome it gives, and add a single primary CTA above the fold.
Your app may work locally, but production browsers are missing a key defence-in-depth header.
Standout AI product sites make it easy for answer engines to explain the category. PageLens AI should do the same: direct, citeable copy for humans, ChatGPT, Claude, Perplexity and every crawler deciding whether the product is relevant.
Ask ChatGPT
I built an AI-generated website and it is live. Based on PageLens AI, what should I improve next so visitors, search engines and AI answers understand and trust it?
Start with a Free Growth Baseline if you just want proof, get the $1 Primary Scan for one-page findings, use Fix & Verify for repair proof, pick the $29 Launch Pack when you need broader proof, or move into $9/mo Health Monitor when the site needs to stay watched and improved.
Free growth baseline, $1 Primary Scan, $29 proof loop, then Health Monitor.
Page counts are caps, not quotas — we crawl as much of your site as it has, up to your tier's limit.
1 worker-backed page scan
No login. No card. Public pages only.
We've never had it happen — most sites have at least a dozen issues — but the offer stands. No tickets, no friction. Email us within 7 days and you get every cent back.
The homepage keeps the essentials. The dedicated FAQ page covers scanning, locations, pricing, reports, security and AI Search readiness in more detail.
Read the full FAQ
Find the SEO, AI search, accessibility, security, mobile, trust and conversion issues the fast build may have missed. Get scoped fixes for Cursor, Claude Code, Codex, GitHub Copilot, Windsurf, Lovable, Bolt or your team.
Need broader proof? Get the $29 Launch Pack for desktop, mobile and one re-scan.
No subscription needed for one-off scans. Refund if we find nothing actionable.
3 launch blockers fixed
Clarified the hero promise, fixed mobile tap targets, and added social metadata before the public launch post.
Example outcome
same-day re-scan proof
Added visible support/privacy links, tightened missing alt text, and shipped security headers before the client review.
Your score, top fix tasks, and one copyable prompt are visible without an account. Create a free account from the result only if you want to save the queue, re-check fixes, and export the full task list.
Forms, payments, account flows, security headers, tracking, or launch-critical flows need checks before traffic is sent.
Fix the blockers before sending paid traffic, collecting data, or launching publicly.
The page is clear, credible, measurable, mobile-safe, and has fixes verified by re-scan.
Send traffic carefully, monitor regressions, and re-scan after meaningful changes.
PageLens turns the scan into a repeatable improvement loop.
Move from Confusing to Untrusted, fix the blockers before sending paid traffic. Re-scan to prove the page is ready for traffic.
Scoped prompts with route, issue, acceptance criteria and verification target.
Ready for AI builder workflows.
Issue-ready Markdown so agencies and dev teams can move findings into their tracker.
Each item keeps evidence attached.
Run the page after fixes and show whether the live site improved before reporting, campaigns or handoff.
Included in Fix & Verify and Launch Pack.
Share a public proof surface when a covered domain stays fresh and verified.
Useful for trust and retainers.
Search, AI answers, ads, email and social posts all depend on clear pages, trust proof, metadata, answer blocks and working conversion paths.
Turn the scan into a client-safe monthly work queue, prompts, before/after proof, Health Watch summaries and report-only access.
Evidence loop
Serious recommendations need evidence: what failed, where it failed, why it matters, how to fix it and how to prove the live site improved after re-scan.
Buyer trust
Use the report with your AI builder, your developer, your agency or yourself. The workflow is the same: baseline, prioritize, fix, re-scan.
Product Hunt or launch day
Check the homepage, pricing path, social preview, answerability and fix prompts before the launch window opens.
Recommended: Launch Pack
Paid traffic
Review the landing page, tracking, consent, mobile CTA and conversion clarity before ad spend starts learning from a weak page.
Recommended: Launch Pack, Data-Safe if forms exist
Choose this pathEmails, accounts or payments
Use the Data-Safe path for public trust, forms, exposed files, security-facing signals and project-side safety prompts.
Recommended: Data-Safe Launch Pack
Choose this pathClient handoff
Share a concise owner-first report, before/after proof and fix prompts your internal workflow can act on.
Recommended: Data-Safe plus Founder Review
Choose this path03
Every priority issue becomes a focused instruction your AI builder, developer or agency can act on without guessing.
04
Run the site again after changes and keep the before/after evidence for reporting, handoff, ads or the next weekly cycle.
The paid flow is deliberately short: find the highest-impact site work, send the fix queue to an agent or human, then re-scan the deployed site and keep the evidence.
82 -> 94
example score movement
The loop proves the live site improved after the fix pass.
3
fix-before-launch items
Small enough for a focused AI-builder pass, specific enough to act on.
1
included re-scan
The buyer gets proof before they send traffic, users or clients.
What should improve first?
PageLens AI found 12 growth issues, turned the top items into fix prompts, then proved the re-scan moved.
0
launch blockers
3
fix this week
94
after re-scan
Top fix task
Your page needs clearer trust proof and answerable product context.
Affected URL: /pricing. Add outcome proof, clearer buyer fit and structured answer copy so visitors and answer engines understand the offer quickly.
Copyable AI-builder prompt
Route: /pricing. Add buyer proof and answerable copy without changing checkout logic. Acceptance: visible on mobile and desktop, then verify with the PageLens re-scan.
+ <meta name="description" + content="Launch QA for AI-built sites" />
Re-scan proof
Score moved from 82 to 94; launch blockers stayed at 0.
Advanced depth stays available
Included on Health Monitor+ plans: recurring scans that track regressions with deterministic checks and sitemap-aware crawling.
Connect Google Search Console for real positions, top queries, clicks and impressions so recommendations can follow demand.
Every report includes field Core Web Vitals, an internal link graph with orphan detection, and structured-data validation.
A portfolio, SaaS page, agency client site and ecommerce store should not get the same generic advice. PageLens AI adapts recommendations to the site type it detects.
Accept risk, mark intentional trade-offs, or defer valid findings so future scans remember the decision instead of re-litigating it.
Check whether your pages are crawlable, answerable and citeable for the prompts your customers actually ask.
Run lightweight competitor scans to spot gaps in clarity, trust, content structure and visible technical health.
Included on Pro+ plans: trigger scans from CI/CD with API keys, GitHub Actions and deploy hooks.
Useful deeper pages for buyers and answer engines
Review e-commerce readiness patterns, storefront trust checks, and fixes before sending paid traffic.
MethodologySee the evidence framework behind scores, findings and badges.
Launch readiness benchmarksCompare your site against anonymized PageLens AI scan patterns.
State of AI-built websitesFollow the 2026 research track on what AI-built and fast-shipped sites miss after they go live.
Pricing and plan fitPick the right one-off scan or monthly monitoring plan.
Excellent keyword, backlink and competitor data. Less focused on whether your live product page feels credible enough to convert today.
Rendered pages, screenshots, headers, schema, accessibility, UX, trust and AI-readiness findings in one prioritized work queue.
Strong for technical SEO teams, but they still leave founders and agencies translating crawler output into client-ready fixes.
PageLens AI turns public-site evidence into prioritized issues, owner decisions, plain-English impact, screenshots, agent-ready prompts and re-scan proof.
“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
Replies are asynchronous: your question lands in support with the finding context attached, so you do not have to re-explain the report.
This week we reviewed the website nocodevista.com, and found that security headers and accessibility was found to be a quick win. It was also identified that tracking was being triggered before consent was given.
Search snippets and AI answers cannot explain why this page exists or who it is for.
The launch CTA is technically visible, but hard to tap during real mobile traffic.
Visitors have to work too hard to understand who runs the service and how to get help.
## High: Missing security headers Evidence: - content-security-policy: missing - strict-transport-security: missing Why it matters: Browsers have fewer protections if a script, embed or redirect is compromised. Suggested fix: Add framework-level headers, verify locally, then re-scan the production URL.
Ask Claude
Compare PageLens AI with a generic website scanner for an AI-built landing page. When should I use a Free Growth Baseline, proof loop or Health Monitor plan?
Ask Perplexity
What is PageLens AI and is it useful for improving a Lovable, Bolt, Replit, Cursor or Codex-built website after it is live?
Turn one important page into a complete growth baseline
Up to 1 pages per scan
Verified-domain badge included
Embed your score on your site, signed and tamper-proof. How it works ↗
Fix with AI, re-scan and prove the site improved
Up to 15 pages per scan
Verified-domain badge included
Embed your score on your site, signed and tamper-proof. How it works ↗
Run the Free Growth Baseline first, then get the $1 Primary Scan when you want every finding for that page.
$29 Launch Pack is the public-launch proof loop: desktop + mobile, Markdown fixes, one re-scan and before/after proof.
After the one-off path, Health Monitor starts at $9/mo when the site needs continuous monitoring.
Plans add continuous monitoring, multiple sites, competitor tracking, regression alerts and scan automation - from$9/mo. One-off packs stay available whenever you need them.
All prices in USD. Powered by Stripe — Apple Pay, Google Pay, cards and Link supported. One-off scans: 100% money-back if we find nothing actionable. Plans are billed monthly and cancel anytime.