Implement comprehensive SEO and performance enhancements

Added detailed SEO audit, implementation plan, and content strategy documentation. Updated index.html with improved meta tags, structured data, and social sharing metadata. Enhanced robots.txt and added sitemap.xml for better crawlability. Introduced an image optimization script and updated Index.tsx for lazy loading and accessibility. Refactored Vite config for manual chunk splitting to optimize bundle size and performance.

Author: BWJ2310

CORRECTED_SEO_AUDIT_SUMMARY.md

@@ -0,0 +1,236 @@
+# TradingGoose SEO Audit - Corrected Analysis
+## LLM Analytical Workflow Tool for Trading
+
+## Executive Summary
+
+TradingGoose is an advanced **LLM-powered analytical workflow tool** with 15 specialized AI agents for comprehensive market analysis, research synthesis, and trading decision support. This corrected SEO audit addresses the unique positioning as an analytical intelligence platform rather than a direct trading platform.
+
+## Corrected Positioning & Target Keywords
+
+### Primary Target Keywords (Corrected)
+1. **LLM trading analysis** (Lower competition, high intent)
+2. **AI market research tool** (Growing market)
+3. **Multi-agent workflow** (Technical audience)
+4. **Trading intelligence platform** (B2B focus)
+5. **Financial analysis AI** (Professional users)
+6. **Market analysis automation** (Efficiency seekers)
+
+### Long-tail Keywords (High Value)
+1. **LLM-powered market analysis workflow**
+2. **15-agent trading research system**  
+3. **AI-driven market intelligence tool**
+4. **Open source trading analysis framework**
+5. **Multi-perspective market research AI**
+6. **Automated trading decision support**
+
+### Technical/Developer Keywords
+1. **Open source LLM trading framework**
+2. **AI agent orchestration for finance**
+3. **Trading analysis API**
+4. **Market research automation tools**
+5. **Financial LLM workflow engine**
+
+## Competitive Landscape Analysis
+
+### Direct Competitors (Analytical Tools)
+1. **Bloomberg Terminal** - Enterprise market analysis
+2. **Refinitiv Eikon** - Professional research platform  
+3. **FactSet** - Investment research and analytics
+4. **Alpha Architect** - Quantitative research tools
+5. **Seeking Alpha** - Investment research community
+
+### Competitive Advantages
+1. **Open Source**: Transparency and customization
+2. **Multi-Agent Architecture**: Comprehensive perspective coverage
+3. **LLM-Powered**: Advanced natural language processing
+4. **Workflow Automation**: Reduces manual research time
+5. **Cost-Effective**: Free tier vs enterprise alternatives
+
+## Technical SEO Optimizations Implemented
+
+### ✅ Enhanced Meta Tags (Corrected)
+```html
+<title>TradingGoose - LLM Multi-Agent Trading Analysis Workflow Tool</title>
+<meta name="description" content="Advanced LLM-powered analytical workflow tool with 15 specialized AI agents for comprehensive market analysis, research synthesis, and trading decision support. Open-source trading intelligence platform.">
+<meta name="keywords" content="LLM trading analysis, AI market research, multi-agent workflow, trading intelligence, financial analysis AI, market analysis tool, trading decision support, AI research synthesis, open source trading">
+```
+
+### ✅ Structured Data (Business Application)
+```json
+{
+  "@type": "SoftwareApplication",
+  "applicationCategory": "BusinessApplication",
+  "description": "Advanced LLM-powered analytical workflow tool...",
+  "featureList": [
+    "15 specialized LLM agents",
+    "Multi-agent analysis workflow",
+    "Real-time market research synthesis",
+    "Multi-perspective analysis (Bull/Bear/Neutral)",
+    "Risk assessment framework",
+    "Trading decision support",
+    "Open-source analytical framework"
+  ]
+}
+```
+
+### ✅ Performance Optimizations
+- Manual chunk splitting implemented
+- Image lazy loading added
+- Bundle size reduction strategy
+- Core Web Vitals optimization
+
+## Content Strategy for LLM Analytics Platform
+
+### Primary Content Pillars
+
+#### 1. Technical Education
+- **"How LLM Agents Analyze Markets"**
+- **"Multi-Agent Workflow Architecture Explained"**
+- **"Building Trading Intelligence with AI"**
+- **"Open Source vs Proprietary Analysis Tools"**
+
+#### 2. Use Cases & Applications
+- **"Institutional Research Automation"**
+- **"Individual Trader Intelligence Enhancement"**
+- **"Hedge Fund Research Workflow Optimization"**
+- **"Academic Financial Research Applications"**
+
+#### 3. Integration Guides
+- **"Integrating TradingGoose with Existing Workflows"**
+- **"API Documentation for Developers"**
+- **"Custom Agent Development Guide"**
+- **"Data Source Integration Tutorial"**
+
+#### 4. Comparison Content
+- **"TradingGoose vs Bloomberg Terminal"**
+- **"Open Source Analytics vs Enterprise Solutions"**
+- **"Multi-Agent vs Single-Model Analysis"**
+- **"Cost-Benefit Analysis: Traditional vs AI Research"**
+
+### Target Audience Segments
+
+#### 1. Individual Traders & Investors
+- **Pain Points**: Time-consuming research, information overload
+- **Value Proposition**: Automated comprehensive analysis
+- **Content Focus**: Getting started guides, use cases
+
+#### 2. Financial Professionals
+- **Pain Points**: Research efficiency, multiple data sources
+- **Value Proposition**: Workflow automation, multi-perspective analysis
+- **Content Focus**: Professional features, integration guides
+
+#### 3. Developers & Researchers
+- **Pain Points**: Building custom analysis tools
+- **Value Proposition**: Open source framework, extensibility
+- **Content Focus**: Technical documentation, customization
+
+#### 4. Academic Institutions
+- **Pain Points**: Research tool costs, teaching resources
+- **Value Proposition**: Free access, educational framework
+- **Content Focus**: Educational resources, research applications
+
+## SEO Implementation Roadmap (Corrected)
+
+### Phase 1: Foundation (Week 1-2) ✅
+- [x] Corrected meta tags and descriptions
+- [x] Updated structured data for business application
+- [x] Fixed feature descriptions and value proposition
+- [x] Enhanced keyword targeting for analytical tools
+- [x] Performance optimization groundwork
+
+### Phase 2: Content Enhancement (Week 3-4)
+- [ ] Create "How It Works" page focusing on LLM workflow
+- [ ] Develop technical documentation section
+- [ ] Add use case studies for different user types
+- [ ] Implement enhanced FAQ with analytical tool questions
+
+### Phase 3: Authority Building (Week 5-8)
+- [ ] Technical blog content creation
+- [ ] Open source community engagement
+- [ ] Developer documentation expansion
+- [ ] Integration guide development
+
+### Phase 4: Scaling (Week 9-12)
+- [ ] Advanced technical content
+- [ ] Video tutorials and demos
+- [ ] Community-generated content
+- [ ] Partnership content opportunities
+
+## Performance Metrics & KPIs
+
+### Technical SEO Metrics
+- **Bundle Size**: Target <800KB (currently 1.99MB)
+- **Core Web Vitals**: All metrics in "Good" range
+- **Page Speed Score**: >90 (currently ~40)
+- **Mobile Usability**: 100% compliance
+
+### Organic Growth Targets
+- **Target Keywords**: 20+ analytical tool keywords in top 10
+- **Organic Traffic**: 15,000+ monthly visitors (technical audience)
+- **Developer Community**: 1,000+ GitHub stars
+- **Content Engagement**: 4+ minute average session duration
+
+### Conversion Metrics
+- **Sign-up Rate**: 5%+ from organic traffic
+- **GitHub Repository Visits**: 25%+ from website
+- **Discord Community Growth**: 500+ members from organic
+- **API Documentation Views**: Track developer interest
+
+## Unique Value Propositions to Emphasize
+
+### 1. Multi-Agent Architecture
+- **Differentiator**: 15 specialized agents vs single-model solutions
+- **SEO Opportunity**: "multi-agent trading analysis"
+- **Content Focus**: Architecture deep-dives, agent specializations
+
+### 2. Open Source Transparency
+- **Differentiator**: Full code access vs black-box alternatives
+- **SEO Opportunity**: "open source trading intelligence"
+- **Content Focus**: Community contributions, customization guides
+
+### 3. LLM-Powered Intelligence
+- **Differentiator**: Advanced language understanding vs traditional analytics
+- **SEO Opportunity**: "LLM financial analysis"
+- **Content Focus**: AI capabilities, natural language processing
+
+### 4. Workflow Automation
+- **Differentiator**: End-to-end analysis pipeline vs manual research
+- **SEO Opportunity**: "automated market research workflow"
+- **Content Focus**: Efficiency gains, time savings
+
+## Content Gap Analysis
+
+### Missing Content Opportunities
+1. **Technical Deep-Dives**: Architecture explanations, agent workflows
+2. **Integration Guides**: API documentation, custom implementations
+3. **Use Case Studies**: Real-world applications, success stories
+4. **Educational Content**: Learning resources for different skill levels
+5. **Community Content**: User contributions, extensions, plugins
+
+### Competitor Content Gaps
+1. **Open Source Advantage**: Transparency content vs proprietary tools
+2. **Modern AI Approach**: LLM capabilities vs traditional analytics
+3. **Cost Accessibility**: Free tier vs expensive enterprise solutions
+4. **Developer-Friendly**: Technical community vs corporate focus
+
+## Next Steps & Implementation
+
+### Immediate Actions (This Week)
+1. ✅ Deploy corrected meta tags and structured data
+2. ⏳ Update homepage copy to reflect analytical tool positioning
+3. ⏳ Run performance optimization (image compression, chunking)
+4. ⏳ Set up analytics tracking for corrected positioning
+
+### Short-term (2-4 Weeks)  
+1. ⏳ Create comprehensive "How It Works" technical page
+2. ⏳ Develop API documentation section
+3. ⏳ Add detailed use case examples
+4. ⏳ Implement enhanced search functionality
+
+### Medium-term (1-3 Months)
+1. ⏳ Launch technical blog with regular content
+2. ⏳ Build developer community resources
+3. ⏳ Create video content explaining agent workflows
+4. ⏳ Establish thought leadership in AI finance space
+
+This corrected analysis positions TradingGoose appropriately as an advanced analytical intelligence platform, targeting users who need sophisticated market research and analysis capabilities rather than direct trading execution.