SEO

Abstract

1. Introduction

The SEO library for PHP is a simple and powerful PHP library to help developers do better on-page SEO optimizations.

2. Objective

🐘 Simple PHP library to help developers 🍻 do better on-page SEO optimization 🤖

This project demonstrates how PHP can be applied to a real-world Digital Marketing & SEO problem.

3. Key Features / Modules

• [[]](#-generate-schemaorg) Generate Rich Results schema.org ld+json
• [[]](#-meta-tags) Generate Meta Tags with X (Twitter) and Open Graph Support
• [[]](#-sitemaps) Generate XML Sitemaps (supports: News Sitemaps, Images Sitemaps, Video Sitemaps, Index Sitemaps)
• [[]](#-indexing-api) IndexNow and Google Indexing API
• [] Schema Rich Results Validator
• [[]](https://github.com/melbahja/seo/blob/master/composer.json) Zero Dependencies

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• PHP 7.4+ with a web server (XAMPP / WAMP / LAMP)
• MySQL / MariaDB
• phpMyAdmin (optional)
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/melbahja/seo.git
cd seo

composer require melbahja/seo

use Melbahja\Seo\Sitemap;

$sitemap = new Sitemap(
    baseUrl: 'https://example.com',
    saveDir: '/path/to_save/files',
);

$sitemap->links('blog.xml', function($map)
{
    $map->loc('/blog')
            ->changeFreq('daily')
            ->priority(0.8)
            ->loc('/blog/my-new-article')
            ->changeFreq('weekly')
            ->lastMod('2024-01-15')
            ->loc('/اهلا-بالعالم')
            ->changeFreq('weekly');

    $map->loc('/blog/hello')->changeFreq('monthly');
});

$sitemap->render();

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Export reports to Google Sheets or PDF
• Schedule weekly automated reports
• Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which marketing or SEO problem does this tool solve?
2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
3. Which metrics or KPIs does it report and how are they calculated?
4. How could the output help a business make decisions?
5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by melbahja and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.