Content Optimization for Better SERP Results: The Contribution of Conversational Maxims and Readability Enhancement
Description
The main purpose of our study is to provide an in-depth understanding of the high-quality content concept from a linguistic perspective and improve the efficiency of content creation and optimization for better rankings, drawing from a Gricean perspective. The principal results of the study, based on the findings of the experiment, demonstrate the contribution of the conversational maxims of Cooperative Principle (CP) in content optimization for better SERP results. The findings also indicate the effect of the manner maxim in enhancing the readibility level of texts. In line with the aim of the study, the study tests the following hypotheses: • Hypothesis 1.1: The conversational maxims of CP contribute to the creation of high-quality content, resulting in improved SERP results. • Hypothesis 1.2: The application of the maxim of manner in content optimization contributes to enhancing the readability level of content. To explore the impact of CP on user-oriented content creation, this study employed an experimental approach using a quantitative research method. The research sample comprised 10 published pieces of content, each representing keywords with low rankings in SERP. Employing an experimental approach as the quantitative research method, the study encompassed four distinct stages: pre-test, implementation, follow-up, and analysis. In the pre-test stage, the SERP rankings of the keywords respresenting 10 contents and the readability levels of these contents were evaluated. Subsequently, during the implementation stage, the contents underwent optimization based on the framework of Gricean maxims, specifically addressing the principles of quality, quantity, relevance, and manner. The provided data consists of 10 keywords, each of which is associated with 10 website contents. The data includes 10 original contents that were obtained from the website prior to the implementation process as well as the edited contents that were created during the implementation process.
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To explore the impact of CP on user-oriented content creation, this study employed an experimental approach using a quantitative research method. The experiment was conducted within the controlled environment of Google’s experimental platform. This study utilized quantitative data sourced from a commercial website with the objective of enhancing rankings for various keywords. The research sample comprised 10 published pieces of content, each representing keywords with low rankings in SERP. The selection of the keywords was based on non-random criteria using a non-probability sampling method. This study centered on the findings of an informational website chosen as the experimental website. In the keyword selection process, keywords with low competition were prioritized to ensure tangible results within the 120-day test period. Employing an experimental approach as the quantitative research method, the study encompassed four distinct stages: pre-test, implementation, follow-up, and analysis. In the pre-test stage, the SERP rankings of the keywords respresenting 10 contents and the readability levels of these contents were evaluated. Subsequently, during the implementation stage, the contents underwent