After spending a year developing and refining AI automation templates, Mitch Asser has witnessed firsthand how using AI automation to write blogs has evolved from a simple concept to a complex, cost-effective solution that rivals expensive content services. In this article, I am going to explain how and why Mitch Asser uses AI automation to write blogs.
Traditional content creation methods are becoming less common as AI technology advances. While many content creators still rely on basic ChatGPT prompts or expensive services like BrandWell (formerly Content at Scale) that charge $25 per article, Mitch discovered a more efficient approach that produces high-quality content at a fraction of the cost.
The Cost Revolution in Content Creation
The economics of AI-powered content creation are interesting. Mitch is now generating comprehensive blog posts for 10 to 50 cents each – a large contrast to the industry standard of $25 or more per article. This cost reduction doesn’t mean sacrificing quality; his outputs rival those of premium services like Koala and Surfer.
The only manual additions typically needed are internal and external links, though some research might be required depending on your specific needs. For businesses focused on keyword-driven content generation, this represents an unprecedented opportunity to scale content production while maintaining quality standards.
The Technical Framework Behind AI Content Creation
The success of using AI automation to write blogs relies on several critical components:
- Brand asset integration for consistent voice and tone
- Writing grade level specifications
- Customer avatar definitions
- Brand voice guidelines
- Excluded word lists for maintaining quality
These elements combine to create content that sounds authentic and aligns with brand standards. The key differentiator is our systematic approach to content generation, which breaks down the writing process into manageable, automated steps.
The Power of Structured Content Generation
Mitch’s approach differs from basic AI writing tools through its structured workflow:
- Initial outline generation
- Section-by-section content development
- Automated formatting and structure variation
- Quality control through iterative processing
His approach ensures comprehensive coverage of topics while maintaining readability and engagement. The system varies content structure, incorporating headings, bullet points, and different formatting styles to enhance reader experience.
The Role of Different AI Models
Through extensive testing, Claude has became the most consistent performer for content generation. Its writing quality and ability to follow complex instructions surpass other current models. The platform’s integration with OpenRouter.ai provides flexibility to access various language models through a single interface, allowing for optimization based on specific content needs.
Future Developments and Optimization
The system continues to improve with new capabilities being added regularly. Upcoming developments include:
- Integration of competitive analysis through automated Google result scraping
- Enhanced SEO optimization capabilities
- Improved context feeding mechanisms
- Advanced research integration features
The future of content creation lies in combining AI efficiency with human strategic oversight. While the system handles the heavy lifting of content generation, human expertise remains crucial for strategy, optimization, and quality assurance.
Frequently Asked Questions
Q: How does AI-generated content compare to human-written articles?
AI-generated content has reached a point where it can match human-written articles in quality and depth. The key difference is the speed and cost-effectiveness of production. While human writers might take days to research and write an article, AI can produce comparable content in minutes, with proper setup and guidance.
Q: What makes AI automation to write blogs different from using ChatGPT directly?
This system uses a structured, multi-step approach that creates more comprehensive and well-organized content. Unlike direct ChatGPT use, it generates detailed outlines first, then builds content section by section, maintaining consistency while avoiding repetition. The result is longer, more detailed articles that maintain quality throughout.
Q: Is there still a need for human involvement in the content creation process?
Yes, human oversight remains important for strategy, quality control, and customization. While the AI handles the bulk of content generation, humans are needed to set parameters, review outputs, add internal links, and ensure the content aligns with brand standards and marketing goals.
Q: What are the cost savings compared to traditional content creation methods?
The system generates articles for 10 to 50 cents each, compared to the industry standard of $25 or more per article from content services. This represents a cost reduction of 98% or more, while maintaining comparable quality levels. The main additional cost is the time needed for human review and link addition.
