Table of Contents
- Introduction / Foreword
- Short facts about the eology AI content study
- Study description: what, when, how, who? Procedure and more
- Hypothesis 1-4
- Learnings and recommendations
- Conclusion and outlook
Despite all the positivity surrounding AI texts, there are still a few final words to ponder: what will happen when the majority of content on the web is created solely by AI? Won’t more and more humanity be lost? And what about the spread of misinformation? This is possible at an alarming speed with the help of AI. We should all bear this in mind when we use chatbots. It is up to us to operate, control and, in case of doubt, even regulate AI.
Sample chapter
Study description: What, When, How, Who? Procedure and more
During the test period from 1 August to 30 September 2023, the eology AI task force tested 134 use cases and thus obtained qualified results on AI text creation. The texts created by the chatbots were evaluated and assessed and rated in comparison to purely human-generated texts.
Note
The term “humanly created” requires a definition that creates clarity. After all, not everyone has the ability (knowledge of the German language, editorial training, etc.) and the talent (affinity and talent for writing) to create high-quality texts. In the case of the eo AI content study, there is also the aspect of SEO knowledge.
For this reason, the AI texts in the eology AI study are compared with texts written by trained SEO editors and evaluated according to the quality standard that eology Content Creation follows for high-quality value-added content with high ranking potential.
The test results serve to prove or disprove the 4 hypotheses on content creation with artificial intelligence. Furthermore, the eology AI task force has derived recommendations for the use of chatbots in SEO text production. They serve companies as guidelines for content creation with the use of AI.
The important thing here is:
As this is an empirical study based on a limited text corpus with the aim of assessing SEO performance potential, other methods and other test scenarios and use cases may produce different results. The eology AI task force welcomes constructive feedback, professional exchange and discussions.