Case Study: 1400% visibility increase in 6 months through EEAT of the Source Entity
Posted: Wed Feb 19, 2025 6:38 am
In this article I would like to show the background, implementation and results of a test that gave the domain aufgesang.de a visibility boost of over 1400% in 6 months. This case study gives an indication of how powerful EEAT can be for the source entity. There are also some other interesting observations that I was able to make about this test and that call into question some previous theories about EEAT.
Table of contents [ Hide ]
1 background
1.1 The theory for visibility loss
2 The test scenario
3 The test results
4 Conclusion
background
The domain sem-deutschland.de was one of the most visible agency websites in the DA-CH region for several years before December 2020, with a visibility index of >5 at times on Sistrix. Since the core update in December 2020, the domain has seen a downward trend in visibility up until the August core update, mostly due to the various core updates. Our dubai cell phone number list second agency domain aufgesang.de had no great claim to rankings or visibility until this year and was primarily intended to serve Aufgesang's brand traffic. At the end of last year, we also started to build a glossary of technical terms on aufgesang.de, which primarily pursues SEO goals.
In April, I decided to transfer some selected glossary entries from sem-deutschland.de unchanged to the glossary on aufgesang.de. What all of these entries have in common is that they had top 5 rankings for search terms >500 searches per month until the end of 2020, but then dropped out of the top 10.
Before I discuss the test and the results, I would like to explain the theory that I wanted to support with this test.
The theory for visibility loss
We can assume that Google evaluates websites and results for ranking on three levels or dimensions:
Document level: relevance scoring at content level according to classic IR scores e.g. BM25, TF-IDF, user signals…
Domain level: Quality assessment at page-wide or website area level, e.g. EEAT. The domain is the digital representation of the source entity.
Source entity level: I refer to the source entity as the organization/publisher or the author behind the content of a website. Brand signals such as occurrences and search patterns around the brand, brand mentions, co-occurrences between the brand and topics are used for the evaluation.
Table of contents [ Hide ]
1 background
1.1 The theory for visibility loss
2 The test scenario
3 The test results
4 Conclusion
background
The domain sem-deutschland.de was one of the most visible agency websites in the DA-CH region for several years before December 2020, with a visibility index of >5 at times on Sistrix. Since the core update in December 2020, the domain has seen a downward trend in visibility up until the August core update, mostly due to the various core updates. Our dubai cell phone number list second agency domain aufgesang.de had no great claim to rankings or visibility until this year and was primarily intended to serve Aufgesang's brand traffic. At the end of last year, we also started to build a glossary of technical terms on aufgesang.de, which primarily pursues SEO goals.
In April, I decided to transfer some selected glossary entries from sem-deutschland.de unchanged to the glossary on aufgesang.de. What all of these entries have in common is that they had top 5 rankings for search terms >500 searches per month until the end of 2020, but then dropped out of the top 10.
Before I discuss the test and the results, I would like to explain the theory that I wanted to support with this test.
The theory for visibility loss
We can assume that Google evaluates websites and results for ranking on three levels or dimensions:
Document level: relevance scoring at content level according to classic IR scores e.g. BM25, TF-IDF, user signals…
Domain level: Quality assessment at page-wide or website area level, e.g. EEAT. The domain is the digital representation of the source entity.
Source entity level: I refer to the source entity as the organization/publisher or the author behind the content of a website. Brand signals such as occurrences and search patterns around the brand, brand mentions, co-occurrences between the brand and topics are used for the evaluation.