Agentic coding tools are excellent at changing code. They still need an independent public-surface review before customers, search engines or social previews judge the result.
Codex is strongest when you give it evidence. PageLens AI scans the deployed site, turns visible launch risk into prioritized findings, and gives you prompts Codex can use without guessing what went wrong.
Each pattern is written from public-page audit evidence and ships with a one-line fix suggestion in the report.
Agent patches often update a component or layout file, but the production route still renders old titles, empty descriptions or missing canonical tags. We check the live HTML.
A repo can contain a perfect preview image while the deployed URL returns a 404 or a relative path social platforms cannot fetch.
Agents often compose polished UI from icon components. Without aria-labels, screen readers and automated accessibility checks only see anonymous buttons.
The feature may work, but first-time visitors need privacy, pricing, support and expectation-setting before they enter email or payment details.
Codex can add a header config, but hosting adapters and rewrites decide what actually ships. We grade the response headers users receive.
Fast agent loops can leave too many client components, large images and extra scripts on the landing page. The public result feels slower than the local preview.
Agent sessions leave strings like TODO, sample copy, placeholder testimonials and generic headings. They make a real product feel unfinished.
Agents can add GA or PostHog snippets without wiring the actual form submit, signup or checkout event you need before paid traffic.
Check these before you share your link. The full PageLens AI audit catches everything else.
This covers the basics. A full PageLens AI scan checks hundreds of rules across 10 categories — including the ones that are hard to spot manually.
After your scan, download the Markdown report and use this prompt with your AI builder to fix everything automatically.
You are working in Codex on my website. I ran a PageLens AI audit on the live deployment. For each finding below, inspect the relevant files, make the smallest safe patch, avoid unrelated refactors, and return verification steps. Start with HIGH severity findings: [paste findings here]
Paste the live URL of your Codex-built site. Pick how many pages to scan.
Real headless Chrome visits every page, captures screenshots, reads the rendered HTML and headers, then a vision-capable AI writes the findings.
Severity-ranked findings, screenshots, fix suggestions, security headers grade, PDF export, share link.
Start free, get Primary Scan from $1, or subscribe from $9/mo for continuous monitoring.
Primary Scan
$1
Up to 1 pages
Fix & Verify Pack
$9
Up to 1 pages
Launch Pack
$29
Up to 15 pages
Data-Safe Launch Pack
$79
Up to 25 pages
Not ready to scan your Codex build yet?
Get the practical pre-launch checklist by email, with the same builder and launch context preserved for your Primary Scan or Launch Pack link.
Yes. If Codex wrote code, reviewed patches or handled the repair loop, PageLens AI checks the deployed public result and gives Codex evidence-backed fixes to apply next.
Code review is valuable, but launch risk is visible in the browser: rendered metadata, response headers, social previews, mobile layout, accessibility names and trust copy. PageLens AI checks that surface directly.
That is the intended workflow. Download the Markdown report, paste the top findings into Codex, ask for the smallest safe patch, then re-scan to prove the live site improved.
Free instant check - no signup. Primary Scan from $1, Launch Pack from $29: fix with your AI builder, re-scan, and prove it improved.