1. Set up a trigger in n8n to start the workflow, such as receiving a new keyword or topic via a webhook, or on a regular schedule.
2. Use an HTTP Request node to fetch related keywords and LSI (Latent Semantic Indexing) terms from a service like SEMrush or Moz API.
3. Implement a Function node to process the fetched keywords and select the most relevant based on search volume or competition data.
4. Integrate with a content generation API like OpenAI’s GPT-3 to draft a blog post outline using the selected keywords.
5. Add a Function node to structure the GPT-3 output into a proper blog format with an SEO-optimized title, headings, and subheadings.
6. Include a Merger node to compile parts of the blog post if they were generated in sections.
7. Utilize the Unsplash API or a similar service to automatically source dynamic, royalty-free images related to the blog topic.
8. Create a Function node to update the blog post with the selected images and ensure they have proper alt-tags and captions.
9. Add a Set node to build structured metadata for the blog post, including title tags, meta descriptions, and schema.org markup.
10. Use a WordPress node (or API node if using a different CMS) to push the draft blog post with images and metadata to your blog platform.
11. Configure an Error Trigger node to monitor the workflow and send alerts if any step fails (e.g., through email or Slack).
12. Test the workflow with a few sample topics to ensure all nodes are functioning as expected and that output quality meets standards.
13. Once confirmed, activate the automated scheduling (if not triggered by webhooks) to allow the workflow to run at predetermined intervals.
14. Implement a Logging or Debug node to keep records of the workflow operations for future analysis and optimization.
