Python-based SEO automation tool for SERP analysis and ranking optimization.
Project description
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, androbots.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
-
Clone or copy the project files.
-
Install dependencies:
pip install -r requirements.txt
💻 Usage
Analyze a keyword
python -m seo_turbo --keyword "low competition fishing gear"
Analyze a keyword with an existing page
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file seo_turbo-0.1.0.tar.gz.
File metadata
- Download URL: seo_turbo-0.1.0.tar.gz
- Upload date:
- Size: 9.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dcf3de2b63b40524bd6945047ffeebc24edc53e15fd929ba7c0f932a78c9c76e
|
|
| MD5 |
7398c1d226be983f4fbbab6c209db68f
|
|
| BLAKE2b-256 |
489e314e9eec29b9ab9e46c47dc6983fdd3e767fb127d673955ea53d7f91b24e
|
File details
Details for the file seo_turbo-0.1.0-py3-none-any.whl.
File metadata
- Download URL: seo_turbo-0.1.0-py3-none-any.whl
- Upload date:
- Size: 10.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a61a1861447d7512d7cc763a74409abae769ce2880cb612ab86b9627c006b5fa
|
|
| MD5 |
2ae85c5879c88221ee8653a607395903
|
|
| BLAKE2b-256 |
82ecb2bab530dd6595505c75684d6e22c1415dc2ed055adb6fcb22c374e8bce5
|