Search patent of the week: AI Detection as a Webpage Quality Metric

In this episode a Google research paper is focused that examines how AI models for distinguishing human-written and machine-generated text can serve as unsupervised indicators of website quality. The study analyzed 500 million web pages and showed that such detectors can effectively identify low-quality pages, which are often characterized by machine-translated content, essay farms and SEO manipulation. The results suggest that search engines could use these findings to improve ranking systems and prioritize high-quality content, while potentially penalizing low-quality, AI-generated or heavily optimized pages. It is emphasized that the quality of the content is crucial and not the mere use of AI in its creation.https://www.kopp-online-marketing.com/patents-papers/generative-models-are-unsupervised-predictors-of-page-quality-a-colossal-scale-study

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2-3 times a week in the podcast are discussed Google patents, research papers and other hot topics like E-E-A-T, LLMO, Generative Engine Optimization (GEO), semantic search and Ranking. This podcast gives you exclusive insights about SEO and LLMO based on fudamental research of SEO relevant patents, research papers and Google leaks analyzed for the SEO Research Suite: https://www.kopp-online-marketing.com/seo-research-suite Follow now not to miss the insights!