AI Website Accessibility Auditor & Auto-Fixer

A SaaS tool that scans websites for accessibility violations (ADA/WCAG compliance), generates detailed reports with specific issues, and provides AI-generated code fixes.

Why This Product Exists

96% of websites fail accessibility standards. In 2025, ADA website accessibility lawsuits surged by 37%, with over 2,000 cases filed. Nearly 70% targeted e-commerce retailers, and the majority were small-to-mid businesses with under $25M in revenue.

Current "solutions" like accessibility overlay widgets are being exposed as ineffective - 22.6% of lawsuits targeted websites that already had these widgets installed. Code-level remediation is the only defensible legal strategy.

Business Model

Revenue Streams

• Freemium: Free basic scan (2-3 pages), paywall for full reports and auto-fixes
• SaaS Subscriptions: $50-500/month for ongoing monitoring and alerts
• One-time Fix Packages: $500-5,000 per website

Target Customers

• Small-to-mid businesses
• Web agencies
• E-commerce stores (Shopify, WooCommerce, Squarespace)

Tech Stack

• Frontend: Next.js 14 + Tailwind CSS
• Backend: Next.js API routes (start simple), later FastAPI for ML processing
• Database: PostgreSQL with Prisma ORM, Redis for caching
• AI:
  • GPT-4V for visual analysis (color contrast)
  • Claude for code fix generation
• Scraping: Playwright for crawling and screenshots
• Payments: Stripe
• Hosting: Vercel (frontend), Railway/Render (backend), AWS S3 (screenshots/reports)

MVP Flow

1. User enters website URL
2. System crawls 5-10 pages, takes screenshots, grabs HTML
3. Runs accessibility checks:
   • Alt text on images
   • Color contrast ratios
   • Heading hierarchy
   • Form labels
   • Keyboard navigation
4. AI generates specific code fixes for each issue
5. Produces professional report - show 2-3 fixes free, paywall the rest

Development Phases

Phase 1 (MVP) - Current Focus

• Basic scanner + report generation
• A few auto-fixes for common issues
• Simple payment integration for full reports

Phase 2

• Full auto-fixer with comprehensive coverage
• One-click integration for WordPress/Shopify
• Improved UI/UX based on user feedback

Phase 3

• Continuous monitoring SaaS dashboard
• Real-time alerts for new violations
• Monthly compliance reports

Project Structure

/frontend     # Next.js dashboard and landing page
/backend      # Node.js API (Next.js API routes initially)
/widget       # JavaScript tracking code for monitoring
/docs         # Business plan, technical specs, marketing materials

Getting Started

Prerequisites

• Node.js 18+
• PostgreSQL
• Redis (optional for MVP)

Installation

# Install frontend dependencies
cd frontend
npm install

# Install backend dependencies
cd ../backend
npm install

Environment Variables

Create .env.local files in both frontend and backend directories:

# Database
DATABASE_URL="postgresql://..."

# AI APIs
OPENAI_API_KEY="sk-..."
ANTHROPIC_API_KEY="sk-ant-..."

# Stripe
STRIPE_SECRET_KEY="sk_test_..."
STRIPE_PUBLISHABLE_KEY="pk_test_..."

Roadmap

• Set up Next.js frontend with basic UI
• Implement Playwright web scraper
• Build accessibility checker engine
• Integrate Claude for code fix generation
• Create report generation system
• Add Stripe payment integration
• Deploy MVP to Vercel
• Get first 5 beta users
• Iterate based on feedback
• Launch marketing campaign

License

Proprietary - All rights reserved

Contact

Justin - [Your GitHub/Email]