I'm losing the SEO battle for my own open source project

A growing trend is disrupting the open source ecosystem: developers are finding their official project documentation and support pages buried in Google search results by AI-generated clones. These sites, often created with automated tools, scrape content from the original project's README files, documentation, and GitHub issues, then republish it with heavy SEO optimization. The result is that users searching for help are directed to these low-quality, ad-laden mirrors instead of the authentic source, fragmenting community support and siphoning traffic away from the creators.

The technical implication is a new form of SEO spam that leverages large language models (LLMs) to cheaply generate massive amounts of seemingly relevant content. This creates a significant maintenance burden for developers who must now compete against automated systems for visibility of their own work. The situation highlights a critical flaw in how search engines evaluate content authority versus mere keyword relevance, and it raises questions about the long-term sustainability of open source projects that depend on discoverability for users, contributors, and funding.