Blog Automation

What's the purpose?

I own a project, admocker.com, which I think has the potential to attract significant organic traffic from Google. However, writing blog posts was a major challenge for me, as writing isn't my forte. This led me to experiment with AI-generated content to observe Google's response.

My aim is also to understand how to acquire insightful blog posts for marketers, beyond just repetitive AI-generated text. Additionally, I enhance these posts with vibrant images from Unsplash.

Roadmap

For the codes, please visit the GitHub repository. If you have any questions, you can contact me directly via [email protected]

Technologies Used

The blog automation system leverages Python for scripting and API interactions, utilizing both ChatGPT API for content generation and Unsplash API for image integration. Basic NLP techniques are employed to process blog post titles and create relevant keywords for image searches.

Results

Right now, it is still in the early stage. However, after I implemented pages with AI-generated content, the impressions and click numbers doubled. I am planning to share updates after a few weeks.

The application implements real-time preview updates, efficient DOM manipulation, and optimized rendering for smooth user interactions even when handling multiple mockup variations simultaneously.

Impact & Results

Ad Mocker has become a valuable tool for digital marketers, advertising agencies, and freelancers worldwide. The platform has significantly reduced the time spent on ad creative reviews and improved campaign planning efficiency. Featured on Product Hunt, it has gained recognition in the marketing technology community for its innovative approach to ad visualization.