Engineering Discoverability for the Next Generation of Search

Optimize your content to boost search rankings and earn more LLM citations. Our comprehensive suite of SEO tools helps you analyze, optimize, and improve your content's performance in search engines.

🚀 Overview

This platform is designed for the future of search - where AI and Large Language Models (LLMs) are becoming the primary way users discover content. Our tools help you engineer discoverability by optimizing your content for both traditional search engines and the emerging LLM-driven search landscape.

✨ Features

🔍 Query Optimizer

LLM Query Analysis: Analyze and optimize queries for better LLM visibility
Modern Dashboard: Professional UI displaying comprehensive SEO metrics
API Integration: Real-time analysis using OpenAI's GPT-4
Auto-fill Integration: Seamless transition to content rewriting

📊 Dashboard Features

Metrics Overview: Citation likelihood, authority score, semantic understanding
Optimized Queries: Detailed analysis of each query with implementation guidance
Implementation Plan: Step-by-step optimization roadmap
Risk Assessment: Comprehensive risk analysis and mitigation strategies
Success Metrics: LLM-specific KPIs and measurement guidelines

✍️ Content Rewriting

Auto-populate: Automatically fills content from Query Optimizer
Multiple Modes: General, Semantic (HTML), and Query-based optimization
Real-time Processing: Advanced content rewriting for LLM optimization

🎯 Additional Tools

Competitor Gap Analysis: Identify opportunities your competitors are missing
Content SEO Score: Evaluate and improve your content's SEO performance
Semantic SEO Score: Optimize for semantic search and AI understanding
Trend Alerts: Stay ahead with real-time trend monitoring

🛠️ Tech Stack

Frontend

Next.js 15 - React framework with App Router
React 19 - Latest React with concurrent features
TypeScript - Type-safe development
SCSS Modules - Modular styling with CSS-in-JS approach

State Management

Redux Toolkit - Modern Redux with simplified patterns
RTK Query - Data fetching and caching

AI & APIs

OpenAI GPT-4 - Advanced language model integration
RESTful APIs - Custom API routes for each tool

Development Tools

ESLint - Code quality and consistency
Prettier - Code formatting
TypeScript - Static type checking

UI/UX

React Icons - Comprehensive icon library
Custom Components - Tailored UI components
Responsive Design - Mobile-first approach
Modern CSS - CSS Grid, Flexbox, and custom properties

Performance

Next.js Optimization - Built-in performance features
Code Splitting - Automatic route-based code splitting
Image Optimization - Next.js Image component
Bundle Analysis - Webpack bundle analyzer

🚀 Getting Started

Install Dependencies
```
npm install
```
Environment Setup Create a .env.local file with your OpenAI API key:
```
OPENAI_API_KEY=your_api_key_here
```
Or run the setup script:
```
node setup-env.js
```
Run Development Server
```
npm run dev
```
Access the Application
- Dashboard: http://localhost:3000/dashboard
- Query Optimizer: http://localhost:3000/query-optimizer
- Content Rewriting: http://localhost:3000/rewrite-for-llm
- Competitor Analysis: http://localhost:3000/competitor-gap-analysis
- Content SEO Score: http://localhost:3000/content-seo-score
- Semantic SEO Score: http://localhost:3000/semantic-seo-score
- Trend Alerts: http://localhost:3000/trend-alerts

🚀 Deployment

Deploy to Vercel (Recommended)

Push to GitHub (if not already done):

git add .
git commit -m "Ready for deployment"
git push origin main

Deploy to Vercel:
- Go to vercel.com
- Sign up with your GitHub account
- Click "New Project" → Import your repository
- Vercel will auto-detect Next.js settings
Configure Environment Variables:
- In Vercel dashboard → Project Settings → Environment Variables
- Add: OPENAI_API_KEY = your_actual_api_key
Connect Custom Domain (GoDaddy):
- In Vercel → Project Settings → Domains
- Add your custom domain
- In GoDaddy DNS, add these records:
```
Type: A, Name: @, Value: 76.76.19.19
Type: CNAME, Name: www, Value: cname.vercel-dns.com
```

Deploy to Netlify

Deploy to Netlify:
- Go to netlify.com
- Sign up with GitHub
- Click "New site from Git" → Choose your repository
Configure Environment Variables:
- In Netlify → Site Settings → Environment Variables
- Add: OPENAI_API_KEY = your_actual_api_key
Connect Custom Domain (GoDaddy):
- In Netlify → Site Settings → Domain Management
- Add your custom domain
- In GoDaddy DNS, add these records:
```
Type: A, Name: @, Value: 75.2.60.5
Type: CNAME, Name: www, Value: your-site-name.netlify.app
```

📖 Usage

Enter Queries: Add up to 6 LLM-style search queries
Add Content: Provide article heading and content
Analyze: Click "Analyze for LLM Optimization" to get comprehensive insights
Review Dashboard: Examine metrics, optimized queries, and implementation plan
Rewrite: Click "Rewrite for LLM-based SEO" to auto-fill the rewrite page

Dashboard Sections

LLM SEO Metrics: Key performance indicators for AI search optimization
Optimized Queries: Detailed analysis with citation potential and authority signals
Implementation Plan: Structured roadmap with timeline and success metrics
Risk Assessment: Potential challenges and mitigation strategies

Auto-fill Features

When transitioning from Query Optimizer to Rewrite page:

Heading: Automatically populated from Query Optimizer input
Queries: All queries are transferred and separated by pipes
Content: Article content is preserved and ready for rewriting

🔌 API Endpoints

Query Optimizer API

Endpoint: /api/query-optimizer
Method: POST
Input: Current queries, search intent, user behavior
Output: Comprehensive LLM SEO analysis and optimization recommendations

Content SEO Score API

Endpoint: /api/content-seo
Method: POST
Input: Content, target keywords, audience
Output: SEO score and improvement recommendations

Semantic SEO API

Endpoint: /api/semantic-seo
Method: POST
Input: Content, semantic context
Output: Semantic optimization score and suggestions

Competitor Analysis API

Endpoint: /api/competitor-analysis
Method: POST
Input: Competitor URLs, target keywords
Output: Gap analysis and opportunity identification

Trend Alerts API

Endpoint: /api/trend-alerts
Method: POST
Input: Industry, keywords, time range
Output: Trending topics and alert recommendations

🏗️ Project Structure

app/
├── api/                    # API routes
│   ├── competitor-analysis/
│   ├── content-seo/
│   ├── query-optimizer/
│   ├── rewrite-for-llm/
│   ├── semantic-seo/
│   └── trend-alerts/
├── dashboard/              # Main dashboard
├── query-optimizer/        # Query optimization page
├── rewrite-for-llm/        # Content rewriting page
├── competitor-gap-analysis/ # Competitor analysis
├── content-seo-score/      # Content SEO scoring
├── semantic-seo-score/     # Semantic SEO scoring
└── trend-alerts/          # Trend monitoring
store/
└── slices/                # Redux state management
    ├── competitorAnalysisSlice.ts
    ├── contentScoreSlice.ts
    ├── queryOptimizerSlice.ts
    ├── rewriteSlice.ts
    ├── semanticScoreSlice.ts
    └── trendAlertsSlice.ts
styles/                    # SCSS modules
components/                # Reusable components

🎯 Key Components

Dashboard: Centralized overview of all tools and metrics
QueryOptimizer: LLM query analysis and optimization
RewriteForLLM: Content rewriting with multiple modes
CompetitorAnalysis: Gap analysis and opportunity identification
ContentScore: SEO performance evaluation
SemanticScore: Semantic search optimization
TrendAlerts: Real-time trend monitoring
Redux Slices: State management for all tools
API Routes: Backend integration with OpenAI

🤝 Contributing

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add some amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔮 Future of Search

As AI and LLMs continue to reshape how users discover content, our platform is designed to help you stay ahead of the curve. We're building for a future where:

Semantic Understanding matters more than keyword matching
Citation Quality determines content authority
AI-Friendly Content ranks higher in LLM responses
Contextual Relevance drives user engagement

Join us in engineering the future of discoverability. 🚀

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
app		app
components		components
public		public
store		store
styles		styles
.env.example		.env.example
.gitignore		.gitignore
COMPETITOR_ANALYSIS_README.md		COMPETITOR_ANALYSIS_README.md
LICENSE		LICENSE
LLM_SEO_PROMPT_GUIDE.md		LLM_SEO_PROMPT_GUIDE.md
README.md		README.md
eslint.config.mjs		eslint.config.mjs
netlify.toml		netlify.toml
next.config.ts		next.config.ts
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json

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