AutoPostGPT

AI-Powered Content Automation for Blogs

A smart WordPress plugin (and soon SaaS) designed to automate high-quality blog post creation using OpenAI (GPT-4o) and DALL·E 3, optimized for SEO and internal product linking.

Project Overview

AutoPostGPT is an AI plugin built to automate blog creation for WooCommerce stores and content-driven websites. It generates long-form SEO-optimized posts, automatically inserts internal links to related products, and can include high-quality images generated with DALL·E 3. Initially developed as a WordPress plugin, it’s being expanded into a full SaaS platform for agencies and business clients.

🛠️ Challenges & Solutions

Challenge: Match generated text to WooCommerce products and insert relevant links dynamically.

  • Solution

Built a real-time keyword matching system tied to WooCommerce product titles and slugs.

Challenge: Ensure rich, high-quality posts without exceeding OpenAI token limits or producing short outputs.

  • Solution

Implemented prompt optimization and fallback rules to force long-form content reliably.

Challenge: Balance visual quality with API cost.

  • Solution

Integrated DALL·E 3 with optional toggles and compressed output pipeline for post-ready images.

💡 Key Features

  •  Full blog post automation using GPT-4o
  •  Smart internal linking to WooCommerce products
  • Custom prompt system for different blog types
  • Optional AI-generated featured images (DALL·E 3)
  • Content scheduling, keyword planner, and SEO mode
  • Visual dashboard with scheduling, logs, model selection

📈 Results & Impact

🧪 Technologies Used

  • Created 300+ blog posts with automatic linking
  • Increased organic traffic for testers by up to 38%
  • More than 80% off in Work as Blog Writer
  • Best Pratice on with RankMath Score 90+
  • JavaScript + PHP (WordPress plugin structure)
  • OpenAI GPT-4o + DALL·E 3
  • WooCommerce (internal linking logic)
  • TailwindCSS + JavaScript (plugin UI)
  • Soon available as a full SaaS platform

📷 Project Midias

🔍 Reflections & Lessons

The biggest technical hurdle was ensuring deep post relevance while still automating internal linking — a mix of semantic analysis and product matching. Another challenge was content quality: early versions often returned short posts. That was solved with advanced prompt control and logic fallback handling.

This project taught me how to optimize AI token usage, handle dynamic WooCommerce data in WordPress, and balance quality vs. performance in image generation APIs. The next evolution is a multi-client SaaS with preconfigured blog types, onboarding flows, and advanced analytics for agencies.