Agentic workflow divides complex tasks into multiple steps, completed collaboratively by different AI agents. This method is particularly effective in SEO-optimized blog creation.
Blogcard cleverly utilizes the agentic workflow concept. Its core process includes:
User inputs a URL
1ใSystem retrieves third-party keyword data
2ใAI filters and generates corresponding blog topics
3ใContent is generated based on provided topics
Blogcard divides its workflow into two main agents through prompt design: an SEO expert agent and a blog writing agent. The SEO agent analyzes keyword data, returning suitable word combinations and blog topics. The writing agent then generates complete blog content based on the provided information.
This method's advantage lies in fully unleashing the potential of large language models. As Andrew Ng's research shows, using agentic workflow can significantly improve AI performance. In a coding benchmark test, this method even enabled GPT-3.5 to outperform GPT-4 using traditional methods.
For SEO content creation, applying agentic workflow is particularly valuable. It ensures content quality and relevance while comprehensively covering keywords, improving SEO-friendliness.
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