Brand Content Guidelines Generator
Generate content writing guidelines based on 3 provided sample posts and your homepage.
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Brand content guidelines serve as a blueprint for ensuring consistent messaging and tone across all your company’s content. These guidelines provide new writers with a clear framework, outlining the brand’s voice, target audience, language, style, and SEO practices. For companies seeking to maintain a uniform and engaging brand narrative, having a well-defined set of content guidelines is essential.
Building the "Brand Content Guidelines Generator" App
This app leverages the power of automated data extraction and advanced language models to generate a comprehensive content guidelines document using real-world examples. Here’s a detailed walkthrough of how the app is built using Moonlit Platform:
Step 1: Gathering the Content
Scraping Sample Content: The app begins by scraping the text from three separate sample blog posts as well as the company’s homepage content. Each sample is retrieved using our Scrape Webpage function, which extracts the body text from the provided URLs. By collecting diverse examples, the app is set up to capture a broad range of writing styles and messaging approaches inherent to the brand.
Collecting Landing Page Copy: Additionally, the company’s landing page content is scraped. This content provides crucial context about the brand’s mission, values, and overall messaging, which is essential for generating accurate content guidelines.
Step 2: Generating Initial Guidelines with Chat Models
Individual Document Creation: The scraped contents are fed into multiple Chat Model nodes with carefully tailored prompts. Each Chat Model is instructed to generate a "Content Writing Guidelines" document based on a predefined structure. This structure includes key sections like an overview of the brand, target audience insights, voice and tone, language and style, SEO best practices, and clear examples of do’s and don’ts.
Diverse Perspectives: Three senior content writers process different sets of sample blog posts and provide individual recommendations based on the same format. Their unique insights help in capturing various facets of the brand personality and ensure that the guidelines are robust and well-rounded.
Step 3: Consolidating the Guidelines
Aggregating Expert Inputs: The final step uses another Chat Model to merge the three documents provided by the senior writers. The goal is to create an "intercepted" document that includes any guideline mentioned by at least two of the three experts. This merging process ensures that the final content writing guidelines are both comprehensive and reflect a consensus on the most critical points.
Maintaining Consistency: The output is structured in markdown format, maintaining consistency with the required document structure. This ensures that new writers receive a clear, unified document that is easy to follow and implement.
Customizing the App for Your Needs
Adjusting Sample Inputs: You can modify the sample blog post URLs or add additional samples to reflect different segments or products of your brand. This flexibility allows you to tailor the guidelines for specific departments or content teams.
Refining the Chat Model Prompts: If your brand has unique stylistic preferences or requires specific terminologies, you can further customize the text prompts in the Chat Model configuration. For instance, you might emphasize a friendlier tone for social media content or a more authoritative tone for technical articles.
Incorporating Additional Data Sources: Consider integrating competitor analysis or market research functions into the workflow. This can help enrich the content guidelines by providing additional context, thereby ensuring that the guidelines not only reflect internal brand values but also align with external industry standards.
Running the App at Scale
Prepare a CSV file containing multiple blog post and homepage URLs that reflect the range of content across your brand.
Navigate to the Bulk Runs feature on the Moonlit Platform and upload the CSV file.
Map the columns appropriately, ensuring that each type of URL (sample posts, homepage) is correctly assigned.
Run the bulk job to generate multiple content guidelines documents. This approach allows you to efficiently create tailored guidelines for different brands, product lines, or content teams in a single operation.
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