A11yGuard
WCAG/ADA compliance checks tuned for AI-generated frontends.
A11yGuard scans any URL or AI-generated component markup against WCAG 2.1/2.2 AA and the ADA, then returns a prioritized fix list so vibe-coded and LLM-built frontends ship accessible instead of accidentally excluding users. It starts at $29/month and needs no code change to run.
Enter a URL or paste AI-generated component markup; get a WCAG checklist (alt text, contrast, ARIA, keyboard nav, labels) with fix guidance. For agencies and SaaS teams shipping AI/vibe-coded UIs that must meet accessibility law.
What is in scope
- Starts at $29/month (Team adds portfolio reports)
- Covers WCAG 2.1 and 2.2 AA success criteria
- Built for AI-generated and vibe-coded frontends
Which requirements it maps to
- WCAG/ADA checklist
- AI-UI specific rules
- Fix guidance
- Portfolio reports (Team)
Which accessibility rules does A11yGuard actually check?
It checks the WCAG criteria that fail most often in production: alt text on images and icons, color-contrast ratios, ARIA roles and states, full keyboard navigation, and form-field labels. Each finding links to the exact success criterion, so a developer can fix it without re-reading the spec.
Does it understand AI-generated and vibe-coded frontends?
Yes. Its rule set is tuned for defects typical of LLM-generated UI: unlabeled icon buttons, div elements used as buttons, missing focus outlines, and empty link text. Those patterns pass a visual review but break screen readers, which is why AI-built pages quietly fail audits.
How are results prioritized for shipping teams?
Findings are grouped by severity (blocker, serious, minor) with copy-paste fix guidance, so a team works top-down. The Team plan adds portfolio reports that score many pages at once, which is what agencies use before handing a site to a client.
Is A11yGuard enough for legal compliance?
It maps checks to WCAG 2.1 AA, the baseline referenced by the ADA and EN 301 549. It is an automated scanner, not a legal sign-off: pair it with a manual audit on high-risk flows (checkout, auth, forms) where context matters more than markup.
What A11yGuard does not certify
It is an automated scanner, not a legal sign-off. Pair it with a manual audit on high-risk flows (checkout, auth, forms) where context matters more than markup. It will not certify WCAG conformance.
Scope questions, answered
What does A11yGuard do?
A11yGuard audits a URL or pasted HTML against WCAG 2.1/2.2 AA and the ADA, then returns a severity-ranked checklist with fix guidance. It is built for AI-generated and vibe-coded frontends, where missing alt text, unlabeled buttons, and broken keyboard flow are common.
How much does A11yGuard cost?
Plans start at $29/month (billed $290/year) and the Team tier adds portfolio reports across many pages. Check the live tool for the current plan and any free trial before committing.
Who is A11yGuard for?
Agencies, SaaS teams, and founders shipping AI/vibe-coded UIs that must meet accessibility law. It fits teams that want a fast, repeatable check before launch rather than hiring a specialist for every page.
How is it different from a free browser extension?
Browser extensions only see the rendered DOM of one page and miss server-rendered or route-based content. A11yGuard checks a URL or pasted markup across the real component tree and groups findings by severity with exportable reports for the whole site.
Can I export the audit for clients or auditors?
Yes. The Team plan produces portfolio reports you can share, and every finding names the WCAG success criterion it violates, which auditors and clients expect to see cited.
Does it cover WCAG 2.2 or only 2.1?
It covers WCAG 2.1 and 2.2 AA success criteria, including the newer 2.2 requirements around focus appearance and target size that older scanners still skip.
Does A11yGuard replace a formal audit?
It is an automated scanner, not a legal sign-off. Pair it with a manual audit on high-risk flows (checkout, auth, forms) where context matters more than markup. It will not certify WCAG conformance.
Built by Xingliang Li · LX Micro-SaaS Factory — a one-person, curated set of tight-vertical AI tools. How tools are selected →