We study how AI systems discover, interpret and reconstruct information — and what it takes for brands, authors and ideas to remain visible when search becomes generative.
Net Content SEO was absent from a neutral Meta AI query about independent AI search research labs. After publishing our methodology and...
The growing importance of Reddit in AI-generated answers was always going to create a second-order effect: people would eventually star...
Google has changed how Googlebot extracts JSON-LD from webpages, applying a single pass of HTML unescaping and requiring structured dat...
Research, experiments and frameworks about AI visibility, AI Search and how machines reconstruct information.
Reproducible experiments comparing models, retrieval, reasoning and hallucinations.
Explore →What visibility means when search engines become answer engines.
Explore →Search engines, AI answers, rankings, retrieval and the changing discovery ecosystem.
Explore →How NetContentSEO designs experiments and separates observations from assumptions.
Explore →NetContentSEO is an independent research and publishing project focused on AI visibility: retrieval, attribution, reconstruction, hallucinations and the factors that influence how AI systems interpret brands, authors and online content.
The growing importance of Reddit in AI-generated answers was always going to create a second-order e...
Google has changed how Googlebot extracts JSON-LD from webpages, applying a single pass of HTML unes...
AI search citations are not static. That may sound obvious, but it has an important consequence...
Net Content SEO is starting a longitudinal AI visibility experiment: can a small independent researc...
We repeated our 20-query AI Search Lab experiment on Gemini using exactly the same questions previou...
