AI-Powered Content Generation with Brand Voice Analysis
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Automate the creation of on-brand content by analyzing existing articles for structure, style, and voice characteristics.
About This Workflow
This n8n workflow automates the generation of new written content that aligns with a specific brand's voice and style. It achieves this by first analyzing a corpus of existing content (e.g., blog posts) to extract key structural elements, writing styles, and brand voice characteristics. These extracted guidelines are then used to prompt a language model to generate new articles that maintain consistency in tone and messaging. The generated drafts are saved as drafts in WordPress for review.
Key Features
- Content Aggregation: Fetches and extracts content from specified online sources (e.g., blogs).
- HTML to Markdown Conversion: Optimizes content for LLM processing by converting HTML to Markdown.
- AI-Powered Analysis: Utilizes LLM nodes to analyze article structure, writing styles, and identify brand voice characteristics.
- Structured Metadata Extraction: Extracts voice characteristics, descriptions, and examples in a structured format.
- On-Brand Content Generation: Generates new content based on defined article structure and extracted brand voice guidelines.
- WordPress Integration: Saves generated content as draft posts in WordPress for further editing.
How To Use
- Import Existing Content: Configure the
Get BlogandGet Articlenodes to fetch content from your desired source (e.g., your company blog, an existing set of documents). TheHTMLnode is used to extract the relevant article bodies. - Convert HTML to Markdown: The
Markdownnode converts the extracted HTML content into Markdown format, which is more efficient for LLM processing. - Analyze Article Structure and Writing Styles: The
Capture Existing Article Structurenode uses an LLM to aggregate and describe the common structure, layout, language, and writing styles from the provided articles. - Extract Voice Characteristics and Traits: The
Extract Voice Characteristicsnode uses another LLM to identify specific brand voice characteristics, their descriptions, and illustrative examples from the content. - Automate On-Brand Articles: The
New Article Instructionnode sets the prompt for the new article. TheContent Generation Agentnode then uses this instruction, along with the analyzed article structure and voice characteristics, to generate the content. This node is configured to output the article body in Markdown. - Save Draft to WordPress: The
Save as Draftnode pushes the generated article (title, body) as a draft to your WordPress site.
Apps Used
Workflow JSON
{
"id": "edbf0a71-1be7-4b85-85e2-83e2236041fa",
"name": "AI-Powered Content Generation with Brand Voice Analysis",
"nodes": 18,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: edbf0a71-1be7...
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