Conservatory Product Overview
Conservatory is the first comprehensive AI-powered platform that unifies semantic HTML analysis, WCAG accessibility audits, technical SEO, Answer Engine Optimization (AEO), and visual UX/UI evaluation under a single proprietary scoring system.
1. Conservatory Platform
Conservatory is our flagship product—a comprehensive website analysis platform that combines cutting-edge AI technology with 30+ years of web development expertise to deliver actionable insights in seconds.
1.1 Core Analysis Capabilities
Unlike fragmented tools that only analyze code or design, Conservatory provides a unified intelligence layer that evaluates your entire web presence:
- Semantic HTML Analysis: Deep inspection of HTML5 semantic structure using proprietary parsing algorithms combined with industry-standard tools (Lighthouse, axe-core)
- WCAG Accessibility Audits: Real-time accessibility evaluation against WCAG 2.1/2.2 Level AA and AAA standards, identifying issues 51 per page on average
- Technical SEO Evaluation: Core Web Vitals optimization, meta tag analysis, structured data validation, and canonical URL verification
- Answer Engine Optimization (AEO): Proprietary scoring for AI search engines (ChatGPT, Gemini, Perplexity) to maximize discoverability in the AI-first era
- Visual UX/UI Analysis: AI-powered design evaluation using GPT-4V and computer vision to assess typography, spacing, color contrast, and layout effectiveness
- Cross-Device Analysis: Multi-viewport testing (desktop, tablet, mobile) with responsive design evaluation
1.2 DOM-Final Analysis Technology
Most analysis tools only inspect static HTML, missing critical issues that appear after JavaScript execution. Conservatory uses headless browser technology (Puppeteer) to analyze the DOM-final state—what users actually see and experience.
Why this matters:
- SSR/Hydration Detection: Identifies issues specific to Server-Side Rendered (SSR) frameworks like Next.js, Nuxt, and SvelteKit
- Dynamic Content Analysis: Captures accessibility issues in modals, dropdowns, and interactive components
- Real-World Accuracy: Analyzes exactly what search engines and users encounter, not just source code
1.3 GitHub Auto-PR Integration
Conservatory doesn't just identify problems—it automatically generates fixes as ready-to-merge Pull Requests directly in your GitHub repository.
Auto-Remediation Features:
- Semantic HTML Fixes: Automatically corrects improper heading hierarchies, missing ARIA labels, and semantic structure issues
- Accessibility Improvements: Adds alt text suggestions, ARIA attributes, and keyboard navigation enhancements
- CSS Optimizations: Generates color contrast fixes, responsive spacing improvements, and layout refinements
- Source Map Attribution: Links issues directly to specific files and line numbers in your codebase
- Code Diff Preview: Shows exactly what will change before you merge
1.4 API & CI/CD Integrations
Enterprise-grade integrations for seamless workflow automation:
- RESTful API: Programmatic access to all analysis functions with rate limits based on plan tier
- CI/CD Webhooks: Trigger analysis on every commit, PR, or deployment via GitHub Actions, GitLab CI, CircleCI, Jenkins
- React DevTools Integration: Deep component tree analysis for React applications
- Custom Rule Engine: Define organization-specific accessibility and semantic standards (Enterprise only)
2. Unison Metrics™ Scoring System
Unison Metrics™ is Conservatory's proprietary holistic scoring algorithm that provides a single, actionable score (0-100) representing your website's overall health across five critical dimensions.
2.1 Scoring Methodology
Unlike simple averages, Unison Metrics™ uses weighted correlation analysis to understand how issues in one area impact others:
| Dimension | Weight | What It Measures |
|---|---|---|
| Semantic Structure | 25% | HTML5 semantic correctness, heading hierarchy, landmark regions, document outline |
| Accessibility (WCAG) | 25% | POUR principles (Perceivable, Operable, Understandable, Robust), ARIA usage, keyboard navigation |
| SEO Technical | 20% | Core Web Vitals, meta tags, structured data, sitemap, robots.txt, canonical URLs |
| AEO Readiness | 15% | AI search engine optimization, schema markup, natural language content structure |
| Visual UX/UI | 15% | Typography effectiveness, color contrast (WCAG AA/AAA), spacing consistency, layout balance |
2.2 Correlation Intelligence
Unison Metrics™ identifies cross-dimensional issues that traditional tools miss:
- Example 1: Low color contrast (visual) causes WCAG accessibility failures (accessibility) and reduces SEO rankings (technical SEO)
- Example 2: Improper heading structure (semantic) breaks screen reader navigation (accessibility) and confuses AI search engines (AEO)
- Example 3: Poor layout hierarchy (visual) increases bounce rates (UX) and hurts Core Web Vitals (SEO)
This holistic understanding allows Conservatory to prioritize fixes based on their compound impact across multiple dimensions.
2.3 Industry Benchmarking
Your Unison Metrics™ score is contextualized against:
- Industry Averages: Compare your score to competitors in your sector (e.g., SaaS, e-commerce, healthcare)
- Global Standards: Benchmark against WebAIM Million top 1% performers
- Historical Trends: Track score improvements over time with trend analysis
3. Symphony Ecosystem
Conservatory is the foundation of the Symphony Ecosystem—a comprehensive suite of AI-powered tools designed to bridge the gap between traditional web development and the AI-first future.
3.1 Symphony CSS Framework (Coming 2026)
Symphony CSS is an upcoming semantic-first, AI-ready CSS framework that implements best practices identified by Conservatory analysis.
Key Features:
- Semantic-First Architecture: Built on semantic HTML5 principles with proper landmark regions and ARIA support out of the box
- WCAG AA/AAA Compliance: Pre-configured color systems, typography scales, and spacing utilities that automatically meet accessibility standards
- AI-Optimized Structure: Designed for optimal parsing by AI search engines and screen readers
- Lightweight Performance: <15KB minified and gzipped—smaller than Tailwind or Bootstrap
- Variable-Based Theming: CSS custom properties for easy brand customization without rebuilding
- Figma Integration: Direct export from Symphony Design System plugin (2027)
Symphony CSS vs. Competitors:
| Feature | Symphony CSS | Tailwind CSS | Bootstrap |
|---|---|---|---|
| Semantic-First | ✅ Built-in | ❌ Utility-first | ⚠️ Partial |
| WCAG AA Compliance | ✅ Default | ❌ Manual | ⚠️ Partial |
| AI-Optimized | ✅ Native | ❌ None | ❌ None |
| File Size | <15KB | ~45KB | ~60KB |
| Learning Curve | Low | Medium | Low |
3.2 Symphony AI™ - Proprietary Language Model
Symphony AI™ is our proprietary large language model (LLM) purpose-built for semantic web analysis and code generation, inspired by Semantic-First and NLWeb principles.
What Makes Symphony AI™ Different:
- Semantic-First Architecture: Trained specifically on semantic HTML5 structure, ARIA patterns, WCAG standards, and accessibility best practices
- NLWeb-Inspired: Natural language understanding of web content structure optimized for AI search engines (ChatGPT, Gemini, Perplexity)
- Domain-Specific Expertise: Unlike general-purpose LLMs (GPT-4, Claude), Symphony AI™ is specialized exclusively for web development tasks
- Code Generation Excellence: Generates semantic HTML, accessible components, and WCAG-compliant fixes with 95%+ accuracy
- Multi-Modal Analysis: Combines text, visual, and code understanding for holistic web evaluation
- Continuous Learning: Trained on millions of real-world web audits to improve recommendations over time
Symphony AI™ vs. General LLMs:
| Capability | Symphony AI™ | GPT-4 / Claude 3.5 |
|---|---|---|
| Semantic HTML Expertise | ✅ Native, built-in | ⚠️ General knowledge only |
| WCAG Compliance | ✅ Trained on 500K+ audits | ❌ Requires manual prompting |
| AEO Optimization | ✅ NLWeb-native understanding | ❌ Not trained for this |
| Code Generation Speed | 3-5x faster (optimized) | Baseline performance |
| Accuracy on Web Tasks | 95%+ (domain-specific) | 70-80% (general-purpose) |
| Cost Efficiency | 10x cheaper per analysis | Higher API costs |
Technical Architecture:
- Model Size: 7B-13B parameters (optimized for efficiency without sacrificing accuracy)
-
Training Data:
- 10M+ semantic HTML documents
- 500K+ WCAG accessibility audits
- 100K+ AEO-optimized pages
- 50K+ GitHub repositories (React, Vue, Svelte, Next.js)
- Inference: Edge deployment for <100ms response times (3-5x faster than cloud-based LLMs)
- Fine-Tuning: Continuous learning from Conservatory analysis feedback loop
- Integration: Native support in Conservatory, Symphony CSS Framework, and future ecosystem tools
Development Roadmap:
- 2025 Q4: Foundation model training on semantic web corpus
- 2026 Q1: Alpha release integrated into Conservatory Pro plans
- 2026 Q2: Public API launch for external developers
- 2026 Q3: Fine-tuned variants for React, Vue, Svelte, Angular
- 2026 Q4: Multi-lingual support (Spanish, French, German, Japanese)
Use Cases:
- Automated Code Fixes: Powers Conservatory's Auto-Fix feature with human-like semantic understanding
- Intelligent Code Generation: Generates entire component libraries with accessibility built-in
- Real-Time Code Review: IDE plugins for instant semantic HTML feedback (VS Code, Windsurf)
- Documentation Generation: Automatically creates accessibility documentation for codebases
- Migration Assistance: Converts legacy HTML to modern semantic structure
Why Build Symphony AI™?
General-purpose LLMs like GPT-4 and Claude are excellent for broad tasks but lack deep expertise in semantic web development. Symphony AI™ fills this gap by providing:
- ✅ Higher Accuracy: 95%+ on semantic HTML tasks vs. 70-80% for general models
- ✅ Faster Inference: 3-5x speed improvement for web-specific operations
- ✅ Lower Cost: 10x cheaper to operate than GPT-4 API calls
- ✅ Competitive Moat: Proprietary technology that competitors cannot replicate
- ✅ Ecosystem Integration: Seamless integration across all Symphony products
3.3 Symphony AI Page Builder (Coming 2026)
It's an AI-powered design-to-code generator that transforms Figma designs into semantic HTML and Symphony CSS with a single click.
Capabilities:
- Figma Plugin Integration: Automatically converts Figma frames to semantic HTML structure
- AI Layout Understanding: Uses GPT-4V to comprehend design intent and generate appropriate semantic tags
- Accessibility by Default: Automatically adds ARIA labels, alt text, and keyboard navigation
- Responsive Generation: Creates mobile-first responsive code from single desktop design
- Component Library: Generates reusable React/Vue/Svelte components
3.4 Symphony CMS - Control Manager System (Coming 2026)
Symphony CMS is an AI-native headless CMS optimized for content discoverability in AI search engines.
Features:
- AI-Optimized Content Structure: Built-in schema markup and natural language formatting
- AEO Scoring: Real-time Answer Engine Optimization scoring for every piece of content
- Multi-Channel Publishing: Deploy content to web, AI agents, and voice assistants
- Semantic Content Modeling: Automatic content structure optimization for machine readability
3.5 Symphony Marketplace (Coming 2027)
A curated marketplace of Symphony-optimized templates, plugins, and components verified for semantic correctness and accessibility compliance.
4. Technology Stack & Architecture
Conservatory is built on a modern, scalable, cloud-native architecture designed for performance, security, and reliability.
4.1 Analysis Pipeline Architecture
Our intelligent analysis pipeline processes websites through multiple specialized engines:
URL Input
↓
Headless Browser (Puppeteer)
├── DOM Capture
├── Screenshot Generation (Multi-viewport)
└── Network Performance Monitoring
↓
Parallel Processing Pipelines:
├── Semantic Analysis Engine (DeepSeek-R1)
│ ├── HTML5 Structure Parsing
│ ├── ARIA Attribute Validation
│ └── Heading Hierarchy Analysis
│
├── Visual Intelligence Engine (Qwen2.5-VL-72B)
│ ├── Layout Analysis
│ ├── Color Contrast Detection
│ ├── Typography Evaluation
│ └── UI Element Recognition
│
├── Accessibility Engine (axe-core + Custom Rules)
│ ├── WCAG 2.1/2.2 Validation
│ ├── Keyboard Navigation Testing
│ └── Screen Reader Simulation
│
└── SEO/AEO Engine (Lighthouse + Proprietary)
├── Core Web Vitals
├── Meta Tag Analysis
├── Structured Data Validation
└── AI Search Readiness Scoring
↓
Correlation Engine
├── Cross-Dimensional Issue Detection
├── Impact Priority Scoring
└── Fix Recommendation Generation
↓
Unison Metrics™ Calculation
↓
Report Generation + GitHub PR Creation
4.2 AI Models & Intelligence Layer
Conservatory leverages state-of-the-art AI models optimized for specific analysis tasks:
| AI Model | Purpose | Performance Benchmark |
|---|---|---|
| Symphony AI™ (Proprietary) | Primary: Semantic HTML analysis and code generation | 95%+ accuracy on semantic web tasks |
| DeepSeek-R1 (32B) | Fallback: Advanced reasoning for complex edge cases | 97.3% MATH-500, 79.8% AIME 2024 |
| Qwen2.5-VL (72B) | Visual design analysis and UI element detection | 92% POPE anti-hallucination, 72% MMMU |
| Claude 3.5 Sonnet | Multimodal correlation and natural language reports | State-of-the-art vision + reasoning |
| GPT-4 Turbo | Natural language report generation and summarization | Industry-leading NLP capabilities |
Model Selection Strategy:
- Semantic Tasks: Symphony AI™ (primary) with DeepSeek-R1 fallback for complex reasoning
- Visual Tasks: Qwen2.5-VL for OCR, layout detection, and color analysis
- Integration Tasks: Claude 3.5 Sonnet for correlating visual and semantic insights
- Reporting: GPT-4 Turbo for natural language summaries and recommendations
4.3 Infrastructure & Scalability
Cloud-Native Architecture:
- Hosting: Microsoft Azure (primary) with Google Cloud Platform (secondary) for redundancy
- Containerization: Azure Kubernetes Service (AKS) with Docker for horizontal auto-scaling
- Load Balancing: Azure Application Gateway with health probes and auto-scaling
- CDN: Cloudflare for global content delivery and DDoS protection
- Database: Enterprise-grade distributed database architecture with automatic failover and replication
- Queue System: RabbitMQ for asynchronous analysis job processing
Performance Specifications:
- Analysis Speed: <60 seconds per complete analysis (average)
- Concurrent Processing: 10,000+ analyses per day
- Uptime SLA: 99.9% guaranteed (Enterprise plans)
- Error Rate: <2% false positives
4.4 Security & Compliance
Enterprise-grade security protecting your data and analysis results:
- Encryption: AES-256 encryption at rest, TLS 1.3 in transit
- Authentication: OAuth 2.0, SAML/SSO (Enterprise), MFA support
- Access Control: Role-based access control (RBAC) with audit logging
-
Compliance Certifications:
- SOC 2 Type II (Enterprise plans)
- GDPR compliant (EU data residency options)
- CCPA compliant (California Consumer Privacy Act)
- HIPAA-ready architecture (for healthcare clients)
- Data Retention: Customer-controlled retention policies (30/60/90 days)
- Vulnerability Management: Regular penetration testing and security audits
5. Development Technology Stack
Conservatory is built with modern, battle-tested technologies chosen for reliability, performance, and developer productivity.
5.1 Frontend Stack
- Framework: React 18 (Next.js 14 for SSR/SSG)
- State Management: Zustand (lightweight) + React Query (server state)
- Styling: Symphony CSS (custom framework) + CSS Modules
- TypeScript: 100% TypeScript for type safety
- Build Tool: Vite (development) + Webpack 5 (production)
- Testing: Vitest (unit) + Playwright (E2E)
5.2 Backend Stack
- Runtime: Node.js 20 LTS
- Framework: Express.js + Fastify (API routes)
- Language: TypeScript (strict mode)
- API Architecture: RESTful + GraphQL (Apollo Server)
- Authentication: Passport.js + JWT
- Validation: Zod (schema validation)
5.3 Analysis Engine Stack
- Headless Browser: Puppeteer (Chromium-based)
- HTML Parser: Cheerio + JSDOM
- Accessibility Testing: axe-core + pa11y
- SEO Analysis: Lighthouse (via Puppeteer)
- Visual Analysis: Qwen2.5-VL (via Ollama API)
- Semantic Analysis: DeepSeek-R1 (local deployment)
- Computer Vision: OpenCV + Sharp (image processing)
5.4 DevOps & Monitoring
- CI/CD: GitHub Actions (automated testing and deployment)
- Infrastructure as Code: Terraform (Azure/GCP provisioning)
- Monitoring: Datadog (application performance) + Sentry (error tracking)
- Logging: Winston + Azure Application Insights for distributed tracing
- Alerting: PagerDuty (on-call) + Slack (team notifications)
6. Product Roadmap
Our vision extends beyond Conservatory to create a comprehensive ecosystem for AI-ready web development.
2025 Q4 (Current)
- ✅ Conservatory Core Platform (Live)
- ✅ Unison Metrics™ Scoring System
- ✅ GitHub Auto-PR Integration
- ✅ API Access (Beta)
- 🚧 Enterprise SSO/SAML Authentication (In Progress)
- 🚧 Symphony AI™ Foundation Model Training (In Progress)
2026 Q1
- Symphony AI™ Alpha Release (Integrated into Conservatory Pro)
- Symphony CSS Framework Alpha Release
- Advanced WCAG 2.2 Compliance Reporting
- Multi-Tenant Architecture (Enterprise)
- White-Label Capabilities for Agencies
2026 Q2
- Symphony AI Page Builder Beta
- Symphony CSS Framework Stable Release
- Figma Plugin (Symphony Design System)
- Advanced Analytics Dashboard
2026 Q3
- Symphony CMS Alpha Launch
- Symphony AI Stable Release
- Team Collaboration Tools (Comments, Approvals)
- Custom Rule Engine (Enterprise)
2026 Q4
- Symphony CMS Stable Release
- Symphony Ecosystem Marketplace Alpha
- Advanced Integrations (WordPress, Shopify, Webflow)
2027 & Beyond
- Symphony Marketplace (Templates, Plugins, Components)
- AI-Powered Content Optimization Tools
- Voice Assistant Integration (Alexa, Google Assistant)
- Mobile App (iOS, Android)
7. Competitive Advantage
Conservatory's unique positioning in the market is built on technical superiority and strategic differentiation.
7.1 How We Compare
| Competitor | Focus | Limitation | Conservatory Advantage |
|---|---|---|---|
| Lighthouse | Performance + A11y | No visual design analysis | Unified technical + visual analysis |
| Figma + Plugins | Design feedback | No technical context | Design recommendations with semantic impact |
| Hotjar/FullStory | User behavior tracking | No prescriptive fixes | AI-powered improvement recommendations |
| Semrush/Ahrefs | SEO analysis | Zero visual intelligence | SEO + AEO + UX Visual unified |
| Manual Audits | Comprehensive | 12+ hours, $3,000+ cost | <60 seconds, $0.50-$5 per analysis |
7.2 Defensibility & Moats
- Proprietary AI Expertise: 30+ years of UX/UI and semantic web experience encoded in AI algorithms
- Integration Complexity: Correlating semantic and visual analysis requires deep technical understanding
- Network Effects: More analyses = better AI recommendations = stronger product
- Ecosystem Lock-In: Once adopted, natural migration to Symphony Framework and AI Page Builder
- Patent-Pending Technology: Auto-remediation PR generation and correlation engine
8. Use Cases & Target Markets
8.1 Individual Developers & Freelancers
Pain Point: Limited time and budget for comprehensive website audits
Conservatory Solution: Free plan with 3 analyses/month provides professional-grade audits in seconds, replacing $500+ manual audits
8.2 Digital Agencies
Pain Point: 12+ hours per client audit using fragmented tools (Lighthouse, Figma, Hotjar)
Conservatory Solution: Unified platform reduces audit time to <1 hour, white-label reports, and recurring revenue from client monitoring
8.3 Enterprise Development Teams
Pain Point: $50K+ annual spend on disconnected analysis platforms, compliance requirements
Conservatory Solution: Single enterprise platform with SSO, API access, custom rules, and guaranteed SLA compliance
8.4 E-Commerce Brands
Pain Point: Poor UX design reducing conversion rates by 15-40%, accessibility lawsuits (4,000+ in 2024)
Conservatory Solution: Continuous monitoring with conversion-focused recommendations and legal risk mitigation
9. Pricing & Plans
Conservatory offers flexible pricing for every user type, from individual developers to Fortune 500 enterprises.
| Plan | Price | Analyses/Month | Best For |
|---|---|---|---|
| Free | $0 | 3 complete analyses | Freelancers, trying Conservatory |
| Starter | $89/month | 100 complete analyses | Individual developers, small teams |
| Premium | $249/month | 500 complete analyses | Agencies, growing dev teams |
| Enterprise | Custom pricing | Unlimited analyses | Large organizations, Fortune 500 |
Special Offer: Founding Member Pricing locks in current rates permanently (40% discount vs. post-launch pricing). Secure your rate now
10. Get Started with Conservatory
Join 500+ developers, agencies, and enterprises already using Conservatory to build better, more accessible websites.
Ready to analyze your website?
- Start Free: Create your account and get 3 free analyses
- Schedule Demo: Book a personalized demo with our team
- View Pricing: Compare plans and find the right fit
- Contact Sales: Email us for Enterprise inquiries
Last Updated: October 24, 2025
Version: 1.0