Metadata-Version: 2.4
Name: seo-turbo
Version: 0.1.0
Summary: Python-based SEO automation tool for SERP analysis and ranking optimization.
Author-email: Shivay <shivay@example.com>
Project-URL: Homepage, https://github.com/Shivay00001/seo-turbo
Project-URL: Bug Tracker, https://github.com/Shivay00001/seo-turbo/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: requests
Requires-Dist: httpx
Requires-Dist: beautifulsoup4
Requires-Dist: lxml
Requires-Dist: chardet
Requires-Dist: nltk
Requires-Dist: rich
Requires-Dist: json-ld
Requires-Dist: python-dotenv

# SEO Turbo: Python-Based SEO Automation Tool

SEO Turbo is a suite of Python-based automation tools designed for senior SEO engineers and technical marketers. It focuses on maximizing the probability of ranking on Google through data-driven analysis of crawlability, technical health, and SERP competition.

---

## 🚫 Disclaimer & Ethics

**Google rankings are NOT guaranteed.** This tool uses statistical proxies and competitive signals to estimate ranking probability.

- **NO False Guarantees**: This tool will never promise a "#1 spot".
- **Safety First**: No black-hat tactics, no cloaking, no spam links, and no fake click automation.
- **Compliance**: Designed for ethical, white-hat growth.

---

## 🚀 Core Modules

### 1. Keyword Intelligence Engine

Analyzes the top 20 Google results for a seed keyword.

- Extracts Title/H1 patterns and snippet quality.
- Identifies "Low Competition" by detecting forum results (Reddit/Quora) or weak domain presence.
- Computes a **Competition Score** from 0 to 100.

### 2. Fast-Indexing Optimization

Streamlines the indexing process to signal Google faster.

- **Auto-generates**: `sitemap.xml`, `sitemap.html`, and `robots.txt`.
- **Integration**: Documentation for Google Indexing API (Service Account setup).
- **Pings**: Automated sitemap submission endpoints.

### 3. On-Page SEO Auto-Optimizer

Technical content analysis for on-page perfection.

- **Readability**: Flesch-Kincaid proxy scoring.
- **Structure**: Validates H1-H4 hierarchy.
- **Image SEO**: Detects missing ALT tags.
- **Semantic Coverage**: Sugggests keyword placement based on NLP patterns.

### 4. Schema & Rich Result Generator

Generates valid JSON-LD code to win rich snippets.

- Supports **Article**, **FAQ**, and **Breadcrumb** schemas.
- Built-in syntax validation.

### 5. Ranking Probability Model

Outputs a final **Fast Ranking Probability** (High/Medium/Low).

- Based on a weighted average of keyword difficulty, content quality, and technical signals.

---

## 🛠️ Installation

1. Clone or copy the project files.
2. Install dependencies:

   ```bash
   pip install -r requirements.txt
   ```

## 💻 Usage

### Analyze a keyword

```bash
python -m seo_turbo --keyword "low competition fishing gear"
```

### Analyze a keyword with an existing page

```bash
python -m seo_turbo --keyword "fishing gear" --url "https://yoursite.com/guide"
```

## 📁 Project Structure

- `seo_turbo/`: Core package.
  - `engine/`: Logic for intelligence, indexing, and optimization.
  - `utils/`: Scrapers, reporters, and text processors.
  - `cli.py`: Main terminal interface.
- `reports/`: Generated JSON and HTML SEO reports.
- `tests/`: Automated unit tests.

---

## 📄 License

MIT License. Created for ethical SEO exploration.
