AI Native Flow Case Study #1 – coze – Optimized SEO Article Generation with AI Automation

Struggling with SEO content? Discover how AI can generate keyword-rich articles effortlessly! I needed an efficient way to create high-quality, SEO-optimized content, so I tested this automated workflow to see how well it performs.

🔑 AccessLevel
Free

🔗 Source
https://www.coze.com/template/workflow/7424043643545255943?entity_type=23

🛠️ Testing Environment
coze.com

🧠 LLMs Used
GPT-4o

🤖 ModelType
Text-Only;

✅ IsFunctional
Yes

🚀 Performance Rating
Needs Improvement

🌟 Expected Behaviour
This workflow is a state-of-the-art SEO article generator designed to elevate your content strategy. By inputting a single target keyword, it intelligently analyzes the search volume, competition intensity, and relevance of this keyword and suggests high-quality related keywords. It then combines this data with top-ranking results from Google Web Search to craft high-quality, keyword-rich articles that are both informative and optimized for search engines!

📝 Actual Behaviour
The get_seo_data plug-in cannot be used properly, and the core functions of the whole process are lost.

📋 Recommendations
Fix get_seo_data plug-in can work properly, otherwise the whole work function can not play the described effect.

📊 Evaluation
AI Native: (6/10) The workflow leverages AI for automated SEO analysis and content generation, but the inability to use the get_seo_data plug-in hinders its core functions, reducing its efficiency as an AI Native solution.

🔍 Workflow Breakdown
1️⃣ Enter the keyword in the Start node to retrieve SEO data.
2️⃣ Use Google Web Search based on the keyword and SEO data, then GPT generates the SEO article.
3️⃣ Based on the keyword and SEO data, GPT generates a keyword report including search volume, relevance, competition intensity, and more.
4️⃣ Run the workflow to generate and display the SEO article and keyword report for “education.”

Statement: Evaluation results are generated by AI, lack of data support, reference learning only.

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