Building an AI Parasite SEO System in Make.com

Parasite SEO is the practice of scraping competitor blog content, rewriting it with AI, and bulk-publishing the results to your own site. The term gets people heated, but the underlying automation pattern is straightforward. This video walks through a working Make.com scenario that does exactly that, from sitemap scraping through WordPress import.

The Make.com Pipeline

The scenario runs as a linear chain of five modules visible on screen: Google Sheets, Array Aggregator, Iterator, Dumpling AI, and ChatGPT.

Step 1 -- Pull URLs from sitemaps. The process starts with a Google Sheet full of target URLs. You get these URLs by reading XML sitemaps from competitor blogs. The video uses TubeBuddy's sitemap as an example, which lists every published blog post URL in one place.

Step 2 -- Iterate through the list. Inside Make.com, an Array Aggregator collects the URLs and an Iterator feeds them into the pipeline one at a time. This is standard Make.com pattern work for processing rows from a spreadsheet.

Step 3 -- Scrape with Dumpling AI. Each URL passes to Dumpling AI, which pulls the clean text content from the blog post. No raw HTML, just the readable body text.

Step 4 -- Rewrite with ChatGPT. The scraped content goes into a ChatGPT module that rewrites it. The output is structured as JSON with a title and content field. The prompt shown in the video is intentionally simple. For production use, you would chain multiple ChatGPT passes together and include brand voice instructions.

Step 5 -- Write back to Google Sheets. The rewritten title and content land in new columns on the same spreadsheet, giving you a CSV-ready export.

Publishing to WordPress

Once the spreadsheet is populated with hundreds of rewritten posts, the video recommends using the AllImport WordPress plugin for bulk upload. This gives you a chance to review and edit before publishing. If you want full automation, you can skip the spreadsheet export and add a WordPress module directly after the ChatGPT step to post automatically.

Making It Less Derivative

The video closes with two practical suggestions for improving quality and reducing the ethical problems with this approach.

Combine multiple sources. Instead of scraping one URL and producing one post, use an SEO tool like SEMrush or Ahrefs to find the top-ranking pages for a given keyword. Group three or four of those URLs together, scrape all of them, and synthesize the best parts into a single comprehensive post. This is closer to research than copying, and it produces something with more original value than a simple rewrite.

Invest in the prompt. A single generic rewrite prompt produces thin content. Chain together multiple ChatGPT passes, each handling a different aspect of the output: structure, depth, tone, and formatting. Spend time dialing in your brand voice and quality standards.

Key Takeaways

• XML sitemaps are the entry point for pulling competitor blog URLs at scale.
• The core Make.com flow is five modules: Google Sheets, Array Aggregator, Iterator, Dumpling AI, and ChatGPT.
• Dumpling AI handles the web scraping; ChatGPT handles the rewriting, outputting structured JSON.
• AllImport is the recommended WordPress plugin for bulk-importing the finished posts.
• Scraping multiple competing pages per topic and synthesizing them into one post produces better content and avoids straight duplication.
• A single ChatGPT pass is not enough for production-quality output. Chain multiple prompts together.