Findings with evidence, screenshots, persona reviews, score context, Markdown export and MCP access. It is built for the way modern teams ship: read it, paste it, fix it, re-scan.
No card required. Takes about 90 seconds.
A PageLens AI audit isn't a Lighthouse PDF with a logo. Each report combines a worker-generated, deterministic findings layer (axe-core, WCAG 2.2 checks, Core Web Vitals via web-vitalsand CDP) with an AI judgement layer that asks eight different personas to read the same page and tell you what they'd change.
A single 0–100 PageLens AI score, computed from severity-weighted findings across SEO, performance, accessibility, security, UX, design, content, headers and errors.
Every finding ships with the exact selector, the measurement, the WCAG / Core Web Vitals threshold it tripped, and a copy-able DOM snippet — not just a vague suggestion.
Desktop + mobile captures stitched at full height. Hover any finding to see where it lives on the page — no guessing which div the report means.
Marketer, CRO, UX, Accessibility, Brand, Executive, Performance, SEO. Each gives a one-line headline + score for their lens, so you can hand the right slice to the right stakeholder.
An impact × effort rank surfaces the 5–10 fixes that move the score most for the least work. Pick a preset (pre-launch, conversion, investor) to re-rank without re-scanning.
Audit logged-in dashboards and app flows with scoped test credentials, route boundaries, validation checks, and private authenticated artifacts.
QA Audit reports replay the paths PageLens AI explored, safe interactions it attempted, actions it intentionally blocked, and steps that need manual review.
Checks AI crawlability, OAI-SearchBot policy, server-readable content, entity clarity, answerability, citation trust and structured data.
Public scans can be shared with a token link. Authenticated app reports stay private by default because screenshots and evidence may include product data.
Same report, three surfaces. Read the audit, paste it into your coding agent, or wire your assistant straight to your scan history over MCP. Pick whichever loop fits how you actually ship.
Severity-grouped findings, full screenshots, persona reviews, share link, optional password gate. The complete picture without leaving the tab.
See an example reportSee how the QA Audit report highlights explored flows, blocked actions, needs-review steps, design critique and recommended next tests.
Open the QA report exampleOne click in the report toolbar. The markdown ships with a structured frontmatter, severity-aware headings, and per-finding evidence — drop it into your AI agent and have it work the list.
Read the dogfood-loop write-upPageLens AI ships an OAuth 2.1 MCP server. Connect once from Claude Desktop, Cursor or Codex; query findings, quick-wins, and feedback right from chat.
Get the MCP setupThe score is a pure function of the findings list and the severity weights — no opaque ranking, no vendor lock-in, no weights that mysteriously shift between scans. Every report stamps the scoring version it was computed under, so a badge you publish today still means the same thing six months later.
Deterministic findings (axe, WCAG, CWV) carry stable rule IDs. AI findings are clearly marked, capped at HIGH unless they cite a measured threshold breach, and quarantined from the score on their first appearance — so a one-shot hallucination can't tank your headline number.
How the score is computedDrop in any URL. We'll spin up a real audit — same deterministic engine, same AI personas, same markdown export — and surface the quick wins worth your morning.
No card required. The audit is free; the trial includes the markdown export and one persona review.