Current Web search-and-retrieval system algorithms produce a significant number of untrustworthy results that, in turn, cause inefficiencies for Web users, including increased time determining what information can be trusted and decreased accuracy of Web search results. The purpose of this design research study was to develop and examine the relative efficacy of a new approach to trustworthiness of Web-page ranking based on the number of categories and characteristics associated with a keyword. This design research study consisted of a conceptual model codified for the purpose of theory development of Web search and retrieval applying concepts in Computational Linguistics and Natural Language Processing. Two areas were investigated for impact on the trustworthiness of Web page results: first the placement of characters to search and frequency of the characteristics of the keyword being searched in a Web page, and second how well the new approach performed compared to the traditional PageRank™ Web-page ranking algorithm by manually assigning points to Web pages using a trustworthiness scale developed for this study, calculating results, and validating the results through a reverse look up of the Web page. A key finding from this study is that when Web pages are ranked by categories and characteristics of a keyword, marginal improvements are made in trustworthy Web-page results compared to PageRank™. A positive social impact resulting from this study is an improvement in the trustworthiness of Web search-andretrieval ranking results. A recommendation is that Web search-and-retrieval systems should include ranking through categories and characteristics of keywords to improve the trustworthiness of results.