README.md

metadata

title: Thinkly Labs SEO
emoji: 🔍
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860
pinned: false
license: mit

Thinkly Labs SEO

Professional SEO analysis and reporting tool that creates comprehensive SEO audit reports from any website URL. Built with Flask and designed to be modular and extensible.

Features

✅ Implemented (v1 MVP)

• Technical SEO Analysis via Google PageSpeed Insights API
  • Mobile & desktop performance scores
  • Core Web Vitals (LCP, CLS, INP, FCP)
  • Optimization opportunities and diagnostics
• Content Audit via web crawling
  • Metadata completeness (title, description, H1 tags)
  • Content quality metrics (word count, CTA presence)
  • Content freshness analysis
• Professional HTML Reports with interactive charts
• PDF Export functionality
• Competitor Benchmarking (basic comparison)
• Executive Summary with health scoring

🚧 Planned for Future Versions

• Keyword Rankings (Google Search Console integration)
• Backlink Profile Analysis (RapidAPI)
• Advanced Competitor Analysis
• GA4/Conversion Tracking Integration

Installation

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

streamlit run app.py

Usage

1. Open the Streamlit app in your browser
2. Enter a website URL to analyze
3. Optionally add competitor URLs for benchmarking
4. Click "Generate SEO Report"
5. View the interactive report and download HTML/PDF versions

API Requirements

• Google PageSpeed Insights API: No API key required for basic usage (with rate limits)
• For higher usage limits, get a free API key from Google Cloud Console

Architecture

The system is built with a modular architecture:

app.py                 # Main Streamlit application
modules/
  ├── technical_seo.py # PageSpeed Insights integration
  └── content_audit.py # Web crawling and content analysis
report_generator.py    # HTML report generation with charts
pdf_generator.py       # PDF export functionality

Report Structure

1. Executive Summary - Overall health score and quick wins
2. Technical SEO - Performance metrics and optimization opportunities
3. Content Audit - Metadata completeness and content quality
4. Competitor Analysis - Basic performance comparison
5. Future Modules - Placeholder sections for keywords, backlinks, etc.
6. Recommendations - Prioritized action items

Success Metrics

✅ Report generates without failures for multiple domains
✅ PageSpeed data fetched reliably via Google API
✅ Crawl completes within 200 pages, respecting robots.txt
✅ Charts render correctly in HTML and export cleanly to PDF
✅ Report structure matches defined format
✅ Professional visual design resembling agency decks

Contributing

The system is designed to be extensible. To add new modules:

1. Create a new module in modules/ following the existing pattern
2. Update report_generator.py to include the new section
3. Add placeholder sections for future enhancements
4. Update the main app to integrate the new module

License

MIT License - see LICENSE file for details