ground-truth-search

To filter search results for primary sources, you use heuristic-based source-level filtering to bias queries toward high-trust domains like GitHub, arXiv, and official documentation, excluding SEO-driven content farms and AI-generated spam.

The best way to bypass SEO content farms when researching a technical framework is to enforce a strict trust hierarchy of domains, forcing search retrieval to prioritize primary technical sources and official documentation instead of generic blog posts.

Yes, you can use this source filtering approach for academic and general knowledge research, as the heuristic-based sourcing operates across technical, academic, and general domains to ensure high-fidelity information retrieval.

Ground-truth-search maintains information quality by requiring strict adherence to a predefined trust hierarchy of domains, automatically filtering out AI-generated slop and prioritizing authoritative primary sources across technical and academic research.

You should not use a predefined trust hierarchy for web search filtering when your research requires discovering newly published sources or niche domains not yet included in the established high-trust domain lists, as strict adherence will exclude them.