What we can learn about Googles AI Search from the official Vertex & Cloud documentation
As an SEO professional, understanding the intricate mechanisms behind Google’s search and generative AI systems read more
What we can learn from DOJ trial and API Leak for SEO?
With the help of Google Leak Analyzer, I have compiled all insights from the DOJ read more
From Query Refinement to Query Fan-Out: Search in times of generative AI and AI Agents
The introduction of generative AI, LLMs and AI Agents, represents a significant evolution in search read more
Overview: Brand Monitoring Tools for LLMO / Generative Engine Optimization
Generative AI assistants like ChatGPT or Claude and AI search engines like Perplexity or Google read more
E-E-A-T: Discovery and evaluation of high quality ressources
The assessment of the Quality and authority of websites is crucial for search engines and read more
E-E-A-T: More than an introduction to Experience ,Expertise, Authority, Trust
There are many definitions and explanations of E-E-A-T, but few are truly tangible. This article read more
Learning to Rank (LTR): A comprehensive introduction
In the age of the internet and vast amounts of data, the ability to find read more
Quality Classification vs. Relevance Scoring in search engines
SEOs should know the difference between relevance scoring and quality classification. Relevance scoring is an read more
How Google evaluates E-E-A-T? 80+ ranking factors for E-E-A-T
In 2022 I published an overview of E-E-A-T signals for the first time, which Google read more
Query document matching: How are queries matched with documents in information retrieval?
Query-document matching is the core process of a search engine, where a system identifies the read more