Find Guest Posting Opportunities using AI

Understanding Guest Post Opportunities

Guest posting is a popular strategy to build backlinks, increase your website’s exposure, and drive organic traffic. However, manually identifying and verifying guest posting opportunities across multiple websites can be time-consuming and error-prone. This app automates the process by analyzing a webpage along with related SEO keywords to pinpoint potential guest post opportunities.

Building the "Find Guest Posting Opportunities" App

This tool is built using Moonlit Platform’s no-code workflow builder, allowing you to create a multi-step process that streamlines the discovery of guest post opportunities. Here’s how each step works:

Input Setup

The app starts by accepting two text inputs: a Link Destination URL and a Target Keyword. The Link Destination URL represents the webpage you want to analyze for guest post relevance, and the Target Keyword guides the analysis towards topics that can link back to your SEO strategy.

Step 1: Gathering Page Data

The first function, Scrape Webpage, fetches the full text from the provided URL. By retrieving the entire content, the tool ensures comprehensive analysis of the context discussed on the webpage.

Step 2: Extracting Relevant Topics

A Chat Model is then used to list 20 highly relevant topics and subtopics. This step not only explores subjects mentioned in the content but also aligns them with the target keyword. The model outputs a JSON array with detailed entries capturing both the keyword and the content angle for potential guest posts.

Step 3: Processing Extracted Keywords

A Python function takes over to process the JSON output from the Chat Model. It extracts the “Target Keyword” from each entry and combines them into a comma-separated string. This ensures that only essential keywords, directly related to guest posting themes, are forwarded in the workflow.

Step 4: Assessing Keyword Metrics and Initial Search

Now, two distinct functions help enrich the analysis:

• Keyword Search Volume: This function fetches search volume data for the extracted keywords, providing insight into their popularity and competitiveness.

• SERPs Search: This function performs a search query using the target keyword along with guest posting indicators such as "write for us," "guest post," and similar phrases. It returns up to 25 web results to identify potential opportunities.

Step 5: Identifying Guest Posting Opportunities

Using another Chat Model, the app reviews the SERP results to find clear signals indicating guest post acceptance. The prompt requests a markdown formatted report listing each opportunity with details including URL, page title, whether guest posts are accepted, and a brief explanation of the finding. It filters out any websites that do not have any indication of accepting guest posts.

Step 6: Merging Supplementary Data

A Python function then combines the SEO keyword data with search volume metrics. This step merges details like search volume and competition into one consolidated JSON output, ensuring that each keyword aligns with data from your initial topic extraction.

Step 7: Finalizing the Report

In the final step, a Chat Model is given the combined report and instructed to append four additional columns: URL, Title, Can Guest Post, and Details. By formatting the output in a consistent markdown structure, the report becomes easy to review, with each entry showing clear indicators and supporting details about the guest posting opportunity.

Customization Options

• Refine Data Extraction: Adjust the scraping parameters to extract tailored segments of the webpage, ensuring the analysis focuses on the most relevant content for your guest posting strategy.

• Adjust Topic Generation: Modify the Chat Model prompt to generate additional details or refine the list of topics and subtopics. This allows variation in the report output based on different industries or niches.

• Integrate Competitor Analysis: Extend the logic to include competitor guest post data. For instance, you can scrape competitor sites and compare guest posting signals to augment your own strategy.

• Custom Output Structure: Tweak the final output formatting in the Chat Model to adjust the report layout or add more data columns if necessary for your analysis.

Running the App at Scale

1. Upload a CSV File: Navigate to the Bulk Runs page and upload a CSV containing multiple Link Destination URLs along with the corresponding Target Keywords.

2. Map the Columns: Ensure each column in your CSV is correctly mapped to the app's inputs, specifically aligning with the Link Destination URL and Target Keyword fields.

3. Execute the Bulk Run: Start the job to process all rows in the CSV, allowing the app to systematically generate guest post opportunity reports for each entry.

Build and Explore More SEO Tools

Moonlit Platform offers a broad range of AI-assisted SEO tools that can be cloned and customized to suit your specific needs. Sign up today to explore our library of AI SEO solutions and start building your own automation apps using our intuitive no-code editor and powerful Bulk Runs feature.