Example report
Example Website Audit Report
Loading a real PageLens AI growth report with priority fixes, screenshots, and fix prompts.
Verified with PageLens AI
Loading a real PageLens AI growth report with priority fixes, screenshots, and fix prompts.
A completed PageLens AI audit report with the crawl, browser evidence, score context, persona reviews, fix workflow and before/after proof in one place.
This sample stays compact. Your report expands each item with the affected pages, evidence and prompts for your site.
Launch Pack proof loop
Paid Launch Pack reports are built for the before/after story: initial score, fixes applied, re-scan score, and resolved blockers you can show to a founder, agency client, or launch team.
Initial growth score
68
Needs priority fixes
Fixes applied
12
SEO, mobile, forms, trust and security blockers
Re-scan score
91
Clearer and stronger
Resolved blockers
8
Top issues cleared before more traffic arrived
The scanned site has a clear offer and a workable path to action. The report shows what PageLens checked, which growth risks matter first, and how to turn the evidence into fixes before more users, customers or paid traffic arrive.
This is enough to understand the report shape, not enough to copy the audit. Exact finding title, affected page, screenshot evidence and repair prompt stay inside the paid report for your own site.
Audit summary
Verdict: fix the priority trust and discovery issues, then re-scan to prove the site improved.
This page appears to be a public launch surface: it needs to explain the offer, earn trust quickly, and move visitors toward the next action without avoidable friction.
Recommended next step: fix the priority themes below, publish the changes, then re-scan so the owner can compare the before and after evidence.
Score band
90+
Excellent
Scope
Multi-page audit
Routes grouped
Priority state
No critical/high blockers in this example
Action queue
Owner verdict
90+
Excellent
Visible categories
Each category opens into page evidence, screenshots and a focused fix request in the complete report.
Evidence snapshot
Screenshot evidence
Captured page preview
Priority queue
Top fixes grouped by impact
Copyable prompt
Prompt and acceptance criteria
Website Launch Scorecard
Can Google and AI understand this page?
Top issue: No issue in this area appears in this public sample.
Why it matters: Discovery issues can reduce the chance that search engines, AI assistants and social previews explain the page correctly.
Technical detailWould a visitor believe this page is credible?
Top issue: No issue in this area appears in this public sample.
Trust issues make cold visitors hesitate before they call, message, book, buy or share the page with someone else.
The value is the growth proof loop, not a static score. A paid Launch Pack report comes from a scan run that crawls, renders, captures, measures, reviews and packages the site into a growth fix queue.
Crawl the public site
Follows internal links or your URL list, records page status, depth, headers and route inventory so the verdict is based on the actual site.
Render desktop and mobile
Loads captured pages in browser viewports, then keeps the device-specific screenshots and evidence that explain what visitors actually see.
Measure browser behaviour
The report groups the highest-risk signals first, so the owner can act before drilling into every scanned page.
Public trust and browser-safety signal
Security Headers - Homepage-level signal. Recommended action: verify the affected page, apply the focused fix, then re-scan.
Page weight and loading-experience signal
Performance - Homepage-level signal. Recommended action: verify the affected page, apply the focused fix, then re-scan.
Search and preview-readiness signal
SEO - Homepage-level signal. Recommended action: verify the affected page, apply the focused fix, then re-scan.
The report does not stop at diagnosis. It gives you the pieces needed to assign, prompt, patch and verify the work.
Get the full scan for your own site when you need affected pages, screenshots, metrics, persona reviews, fix prompts and re-scan proof.
No subscription · Refund if we find nothing actionable
Weekly growth workflow for AI-built websites and apps. Scan public pages, authenticated routes, mobile UX, SEO, AI search readiness, accessibility, security, tracking and trust signals, then export fixes your AI agent can use.
PageLens AI - weekly growth workflow at PageLensAI.com for AI-built and fast-shipped websites.
UKBased in London, United Kingdom
Verified with PageLens AI
Does the page work cleanly on mobile and with assistive tech?
Top issue: Page weight and loading-experience signal
Why it matters: Visitors may abandon before the page has a fair chance to explain the offer.
Technical detailAre obvious public-surface security and privacy basics in place?
Top issue: Public trust and browser-safety signal
Why it matters: The page may look less mature to security reviewers, clients and privacy-conscious visitors.
Technical detailIs the next action clear enough for cold traffic?
Top issue: No issue in this area appears in this public sample.
Why it matters: Conversion issues can waste launch or ad traffic because visitors do not quickly understand why they should act now.
Technical detailCaptures Core Web Vitals, request counts, page weight, third-party domains, render-blocking assets and DOM size from the live render.
Run deterministic checks
Checks security headers, SEO metadata, sitemap and canonical signals, structured data, accessibility, privacy, content and broken resources.
Add multimodal AI review
Combines screenshots, HTML, metrics and launch context to produce page-level findings and a plain-English executive summary.
Review through expert lenses
Adds persona reviews for marketing, CRO, UX, accessibility, brand, executive, performance, SEO and AI search readiness.
Package the fix queue
Turns the evidence into priority themes, affected-page context and scoped prompts for AI builders, developers or client handoff.
Prove the fixes landed
Supports the before-and-after loop: fix the blockers, re-scan, compare the score and show what improved.
Evidence and screenshots
Each priority item links back to the affected page, screenshot context, observed headers, measured metrics or rule evidence.
Markdown fix prompts
Copy the scoped fix request into Codex, Cursor, Claude Code, Lovable, Bolt or your developer handoff.
Page-by-page inventory
Drill into every scanned page, filter by severity or persona, and keep the technical trail for implementation.