How Google identify and evaluate authors through E-E-A-T

The podcast looks at Google's E-E-A-T concept for improving the quality of search results. E-E-A-T evaluates the expertise, experience, authority and trustworthiness of authors by analyzing various on- and off-page signals. Google uses machine learning, in particular Natural Language Processing (NLP), to identify authors from unstructured content and assign content to them. The analysis of author embeddings compared to document embeddings enables the assignment of content to authors and the evaluation of their credibility. In addition, various Google patents are presented that detail methods for author identification and evaluation. https://searchengineland.com/google-identify-evaluate-authors-e-e-a-t-395639

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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!