Linguistic insights into high-quality content for SEO: Optimizing high-quality content with Grice's conversational maxims
• Search engine optimization improves a website's visibility and targeted traffic. • Linguistics adds new insights to content creation and optimization. • Conversational maxims can enhance content quality for higher search rankings. Attaining a first-page position in search engine results is crucial for websites, impacting their visibility. Search engine optimization involves technical and content optimization strategies to enhance a website's visibility. Central to this effort is the creation and maintenance of high-quality content that satisfies search engine algorithms and engages the intended audience. However, creating high-quality content is inherently challenging due to its subjective and multifaceted nature. This study addresses this challenge by analyzing high-quality content through a linguistic lens. It introduces a tailored framework that includes textual, stylistic, technical, and regulatory criteria, outlining the essential features of user-oriented high-quality content. Furthermore, this research advocates for the application of Grice's conversational maxims—quality, quantity, relevance, and manner—in content creation and optimization to enhance the development of high-quality content. Employing a quantitative methodology and drawing on findings from an experiment conducted on Google's search engine platform, this study promotes the effective utilization of these maxims to cultivate high-quality content and improve rankings on search engine results pages.
Authors
- Özgün Koşaner (ORCID: https://orcid.org/0000-0003-1609-3291)
- Fatma Sezer Çırakoğlu (ORCID: https://orcid.org/0009-0008-9587-4232)
Institutions
- Dokuz Eylül University (TR)
- Dokuz Eylül Üniversitesi Hastanesi (TR)
Publication Details
- Journal
- Telematics and Informatics Reports
- Published
- 2024-10-13
- DOI
- https://doi.org/10.1016/j.teler.2024.100169
- Citations
- 2
- Primary Topic
- Speech and dialogue systems
- Type
- article
- Field-Weighted Citation Impact
- 0.69