Example Website Audit Report
Loading a real PageLens AI launch-readiness report with priority fixes, screenshots, and repair prompts.
Loading a real PageLens AI launch-readiness report with priority fixes, screenshots, and repair prompts.
This is a real PageLens AI audit for https://experi.co.uk/. Start with the plain-English verdict, then open the full evidence when your builder needs it.
Export the report as Markdown and hand the fixes to Cursor, Codex, Claude Code or your developer.
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 launch score
68
Risky to share
Fixes applied
12
SEO, mobile, forms, trust and security blockers
Re-scan score
91
Ready to launch
Resolved blockers
8
Top issues cleared before users saw them
Audit complete
Score, findings and evidence are ready
Crawler evidence
URLs, headers and page signals reviewed
Regression view
Changes are tracked against prior scans
93 / 100
Excellent
No critical fixes
Owner-first launch verdict
Safe to shareNo critical or high launch blockers surfaced. Keep the remaining findings as a normal improvement queue.
Send the quick wins to your AI builder when you want polish, then re-scan after the next material change.
Technical readout: Your site is in good shape. 93/100 - excellent, but that is only the headline. Use the risk lanes below to see whether the work is performance, SEO, security or tracking.
The biggest issue is weak content-security-policy. Start with the priority fixes, then use the evidence and technical details when a developer needs proof.
Excellent
3 priority fixes identified
Can I share this?
Safe to share
Score: 93 / 100. No major launch blockers found.
Fix before launch
Weak Content-Security-Policy
visitor safety and trust
If ignored
worth fixing
This can quietly weaken confidence before launch: visitors, clients, or reviewers may see weak public safety signals before trust is established.
What do I paste?
AI-builder prompt
Copy the prompt in the priority section and ask your AI builder for the smallest safe change.
How do I prove it?
Re-scan proof
Check the deployed response headers and browser console on https://experi.co.uk/, then re-scan in PageLens to confirm the public signal improved.
Biggest area to improve: Performance, which mostly means speed and loading experience.
Choose your altitude
The owner view tells you what to fix first. The technical view keeps the evidence, exports and automation ready for a developer or coding agent.
I do not want to read code
Start with the verdict, copy the ready-to-send prompts, and ask your AI builder to apply the smallest safe fixes.
I want the full technical workflow
Use evidence, screenshots, Markdown, MCP and CLI/API automation when a developer or agent needs exact context.
Separate risk lanes
Each lane uses the same scoring model as the headline, filtered to that area. On a single-page scan, issues across lanes combine into the overall 93/100 (Excellent) score.
Speed
Performance
29 findings
91
Excellent
Heavy scripts, page weight, Core Web Vitals, render blocking and DOM cost.
Healthy, with minor evidence to review.
SEO
SEO & discoverability
49 findings
96
Excellent
Search metadata, crawlability, answer-engine readiness and content structure.
Healthy, with minor evidence to review.
A11y
Accessibility & usability
21 findings
100
Excellent
Contrast, labels, navigation friction, responsive behaviour and interface clarity.
Healthy, with minor evidence to review.
Security
Security & trust
27 findings
98
Excellent
Security headers, exposed tokens, broken public routes and visitor-trust issues.
Healthy, with minor evidence to review.
Tracking
Tracking & consent
20 findings
91
Excellent
Analytics, pixels, consent-mode evidence and cookie/privacy implementation signals.
Healthy, with minor evidence to review.
Priority verdict
This site is technically inspectable, but the priority is making the next fix obvious.
Fix the highest-impact issue first, then use structured evidence and developer prompts so search engines, AI answer engines, and real visitors can understand the site more reliably.
What's working
What needs attention
What to do first
Health Watch monitoring scan for https://experi.co.uk/, covering 5 pages. This is a fast, deterministic check (no AI narrative or persona reviews) designed to track regressions over time.
Status: 0 critical, 0 high, 8 medium, 7 low and 118 informational findings. Highest severity present: MEDIUM.
Most severe issues this run:
For narrative analysis, persona reviews and screenshots, run a Deep AI Audit on this site.
Scan details
Checks performed: SEO, UX, accessibility, performance, security, AI search.
Fix workflow
Treat this report as a queue: send the ready fixes, accept any intentional risks, then re-scan the production URL after changes land.
19
Ready to send
128
Not started
0
Accepted risk
0
Re-scan queued
The full report has all the proof. This is the owner-friendly version of what to send your builder first.
Owner explanation
This affects visitor safety and trust. PageLens AI marked it as worth fixing so you know where it belongs in the queue.
What could happen if ignored
This can quietly weaken confidence before launch: visitors, clients, or reviewers may see weak public safety signals before trust is established.
AI-builder prompt
Ready-to-send fix prompt
Inspect the deployed app and framework configuration for the Content-Security-Policy issue shown in this PageLens finding. Add the smallest safe CSP improvement without breaking analytics, auth, payments, fonts, images, or widgets. Avoid broad refactors. After the change, list the files changed, allowed domains, and how to verify the deployed headers before I re-scan in PageLens. Affected URL: https://experi.co.uk/.
Manual steps
Verification step
Check the deployed response headers and browser console on https://experi.co.uk/, then re-scan in PageLens to confirm the public signal improved.
CSP contains insecure directives: img-src https:. These weaken XSS protections.
Owner explanation
This affects how AI search tools understand the site. PageLens AI marked it as worth fixing so you know where it belongs in the queue.
What could happen if ignored
This can quietly weaken confidence before launch: search engines, AI answer tools, and preview cards may misunderstand or under-rank the page.
AI-builder prompt
Ready-to-send fix prompt
Review WAF/bot rules for legitimate AI retrieval user agents. If blocking is intentional, document the policy in robots.txt; if AI search visibility is desired, allow public marketing/docs pages while keeping private routes protected. Focus on public retrieval policy first: remove accidental blocks, allow intended AI retrieval/crawler user agents where appropriate, and keep any deliberate private/admin blocking in place.
Manual steps
Verification step
Fetch the deployed robots, llms, header, or bot-policy signal on https://experi.co.uk/, then re-scan in PageLens to confirm AI retrieval access is no longer accidentally blocked.
The homepage returned an error or no response for at least one AI retrieval-style user agent. This may indicate bot protection, WAF rules, or rate limits that block agent access even when robots.txt appears permissive.
Owner explanation
This affects speed and loading experience. PageLens AI marked it as worth fixing so you know where it belongs in the queue.
What could happen if ignored
This can quietly weaken confidence before launch: mobile visitors may leave before the page proves the offer.
AI-builder prompt
Ready-to-send fix prompt
Inventory each vendor and decide: remove unused tags, async/defer non-critical scripts, load embeds only after interaction, consolidate analytics through one tag manager, or document a conscious trade-off when a service is conversion-critical. If you keep it, compare alternatives with the same test and add an accepted-risk or intentional-trade-off note in PageLens AI so the action plan stays honest across future scans.
Manual steps
Verification step
Reload the page on https://experi.co.uk/ on a mobile viewport, confirm the heavy asset or timing issue improved, then re-scan in PageLens.
Third-party scripts (analytics, booking embeds, ad pixels, font CDNs, chat widgets) sit outside your control and can affect LCP, INP, privacy posture, or reliability. Some are business-critical, so this is both a performance signal and a trade-off to document.
A practical roadmap for turning the audit into progress.
Today
Use nonce-based or hash-based CSP for scripts. Remove 'unsafe-eval' if possible. Replace dangerous wildcard hosts with specific origins.
This week
Review WAF/bot rules for legitimate AI retrieval user agents. If blocking is intentional, document the policy in robots.txt; if AI search visibility is desired, allow public marketing/docs pages while keeping private routes protected.
This month
Inventory each vendor and decide: remove unused tags, async/defer non-critical scripts, load embeds only after interaction, consolidate analytics through one tag manager, or document a conscious trade-off when a service is conversion-critical. If you keep it, compare alternatives with the same test and add an accepted-risk or intentional-trade-off note in PageLens AI so the action plan stays honest across future scans.
Same data as the full report, grouped by what a non-technical owner should do with it.
Critical or high public issues to fix before you rely on the page.
Nothing in this bucket.
Owner-priority issues worth tightening before serious traffic or handoff.
Remaining polish and lower-priority work after the launch fix list.
Need the detail?
The full report still has every finding, evidence, rule ID, filters, screenshots, and technical panels.
This is a real audit β not a mockup. Yours will look like this.
No subscription Β· Refund if we find nothing actionable