A content brief in SEO lays the blueprint for a given piece of content. SEO professionals are able to factor in user's intent, content type, value offering, competitor analysis, and deep external research to put together a cohesive content brief that the writer can use to start writing their piece. A complete brief usually contains:

• Heading Structure - Should we talk about X or Y first? This should heavily take into account the search intent, the closer a section is the topic should mean that it's more likely containing the piece of information that the average reader is looking for.

• Topics/Ideas - What ideas or concepts should each heading cover?

• Semantic Keyword - Which keywords are most relevant to the primary keyword? What adjacent topics is the audience of this post interested in?

• Supporting Information & External Links - This may include statistics, quotes, trends, and case studies to support points made in the post as well as enhance the reader's experience by providing them with relevant external links if they wish to learn more about a specific topic.

• Content Overview: Word Count, Audience, Slug, Meta Description, H1 Title Tag

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Building and Running the "Generate SEO Content Brief" App

To demonstrate how AI can be practically applied in generating SEO content briefs, let's walk through the process of building and using a custom app using the Moonlit Platform.

Step 1: Setting Up Inputs

First, we define the inputs for our app:

• Target Keyword

• Competitor 1 URL

• Competitor 2 URL

• Competitor 3 URL

• Additional Considerations

Step 2: Scraping Competitor Pages

We use the "Scrape Webpage" function to extract content from each competitor's page:

• Comp1: Scrapes the first competitor's page

• Comp2: Scrapes the second competitor's page

• Comp3: Scrapes the third competitor's page

Step 3: Generating the Content Brief

The "Chat Model" function analyzes the scraped data and generates a detailed content brief using the Meta-Llama model:

Step 4: Outputting the Result

The generated content brief is outputted in markdown format:

Running the App at Scale

Here's how you can efficiently run this app at scale and generate 100s of content briefs using Moonlit's Bulk Run feature.

1. Upload a CSV file containing all the keywords, and competitor urls, then map the app inputs to each column.

2. Run the bulk job to process each row

3. Review the generated briefs for each entry

This approach allows for efficient creation of content strategies for multiple keywords simultaneously.

Editing The Content Brief App To Your Use Case

Topic depth control – Tweak the Python filter to include only pages with ≥1,500 words, or raise the SERP fetch from five to ten results for broader competitive input.

• Brand voice guidance – Add a Branding Guidelines input, pass it to the final Chat Model, and force tone/voice alignment across every section - check out our content guidelines generator.

• Localised briefs – Switch language and location codes in the keyword modules to generate region-specific briefs (e.g., en-GB, location 2826 for the UK).

• Non-HTML output – Flip the final Chat Model prompt to Markdown or Google Docs compatible if your writers prefer those formats.

• Programmatic category briefs – Pipe in a CSV of seed keywords (e.g., every product category) via Bulk Runs, then merge outputs for a category-wide content plan—check out our content atomization guide for ideas.