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Search engine optimization process
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Web sites, which index and class other web sites according to their keywords, explanations and contents and make it easier and faster to reach obtained site-search results, are called as search engines. SEO "Search Engine Optimization" is the one of the widely used technique that provides web sites fast reachable. In this work we explained required...
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Context 1
... the search engine optimization is basically based on keywords that are suitable to the web site and can be used to search with search engines. In order to optimize a web site according to search engines, it must be suitable to some technical conditions(Sezgin, 2009) A typical search engine optimization process that can be performed to move up a web site, is represented in Figure 1. Search engines must be taken into consideration while designing a web site. ...
Context 2
... keywords in page contents: Using these keywords as in different styles (bold, italic, underlined) from other texts may take attention of search engines and enable them to define the related texts as one of the determined keywords( (Sweeney, 2001)). Typing remarkable words in different styles is a true approach but editing all content in the related way is not true. ...
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Search engine optimization (SEO), the promoting of a Web site so it achieves optimal position with a search engine's rankings, is an important strategy for organizations and individuals in order to promote their brands online. Techniques for achieving SEO are relevant to students of marketing, computing, media arts, and other disciplines, and many...
Citations
... Other factors such as keyword characteristics or result characteristics have been studied predominantly for their impact on the position of a website in search results, and less so for their direct influence on CTR [17]. For instance, much of the literature on keywords aims to identify strong keywords and trends and recommends optimal keyword characteristics, content adaptation, linkage optimization, or structure adjustment to achieve higher rankings on search engine result pages [18]- [21]. While the position of a website has been widely recognized as the primary driver of CTR, it is equally important to consider additional characteristics such as result, keyword, and SERP features that directly influence CTR. ...
Search Engine Result Pages (SERPs) serve as the digital gateways to the vast expanse of the internet. Past decades have witnessed a surge in research primarily centered on the influence of website ranking on these pages, to determine the click-through rate (CTR). However, during this period, the landscape of SERPs has undergone a dramatic evolution: SERP features, encompassing elements such as knowledge panels, media galleries, FAQs, and more, have emerged as an increasingly prominent facet of these result pages. Our study examines the crucial role of these features, revealing them to be not merely aesthetic components, but strongly influence CTR and the associated behavior of internet users. We demonstrate how these features can significantly modulate web traffic, either amplifying or attenuating it. We dissect these intricate interaction effects leveraging a unique dataset of 67,000 keywords and their respective Google SERPs, spanning over 40 distinct US-based e-commerce domains, generating over 6 million clicks from 24 million views. This cross-website dataset, unprecedented in its scope, enables us to assess the impact of 24 different SERP features on organic CTR. Through an ablation study modeling CTR, we illustrate the incremental predictive power these features hold.
... Datasets and data stores, analytics, advanced analytics, high-performance processing, machine learning, artificial neural, visual analytics, web mining, picture and signals analysis, and geographical or chronological data analysis are all part of data mining [19]. Search engine optimization (SEO) and Search Engine Marketing (SEM) or else, organic and paid search engine placement, which cover a number of criteria that enable organizations to position themselves among the highest positions in search results [20], can positively affect the effectiveness and visibility of firms. ...
Recent developments in blockchain technology have enabled the development of wallet applications for storing peoples' cryptocurrency reserves. Cryptocurrency wallet applications could deploy affiliate marketing processes to increase the visibility of their products. From these affiliate marketing processes, supply chain firms in the air forwarding sector that seek to advertise their services to a larger audience could be benefited. This research examines whether affiliate marketing initials of cryptocurrency wallet applications affect their digital marketing efficiency, as well as whether air forwarding firms' website visibility could be benefited from them. After collecting the required Web Analytic data, the authors performed statistical analysis (correlations and linear regressions), followed by Fuzzy Cognitive Mapping (FCM) macroanalysis and Hybrid Modeling (HM) microanalysis to assess the outcomes of cryptocurrency wallet applications' affiliate marketing programs. Hence, from the deployed methodology, valuable insights arose. The first part of the produced outcomes concerns the effect of cryptocurrency wallet application affiliate marketing metrics on their digital marketing results. The increased implications of affiliate marketing metrics (referring domains, backlinks, etc.) decrease the number of pages their visitors see. Regarding the air forwarder firms' website visibility, specific metrics (branded and referral traffic) were increased and others (social traffic) were decreased from the increment of cryptocurrency wallet application affiliate marketing metrics (backlinks, internal links, etc.). Supply chain firms, in the air forwarding sector, could have increased website visibility by deploying advertisements and affiliate marketing initiatives with cryptocurrency wallet organizations. Summing up, specific affiliate marketing metrics of cryptocurrency wallet applications are capable of significantly impacting their digital marketing performance and also constitute determinant factors of supply chain firms' website visibility.
... The ALT attribute describes graphic elements; this information is used by indexing robots and screen-reader software to help blind users understand the content of images [73]. ...
This study presents a review of search engines and search engine optimization and shows how the search engine landscape relates to sustainable development. We have used a narrative review research method and described three main topics: the past and present of web catalogs and search engines; current knowledge about the dominant types of search results presented in Google search; and methods of search engine optimization. Technical elements of important website areas related to technical website auditing are discussed. We summarize our research with several key findings on how web search engines are involved in sustainable development and offer a glimpse into the future use of web searching with the help of artificial intelligence chats and prompt engineering.
... ,Yalçın ve Köse (2010),Berman ve Katona (2013),Wang ve Vaughan (2014),Casas (2015),Zilincan (2015),Toksarı ve Mürütsoy (2017),Kouchesfahani vd. (2019) çalışmalarında görünürlük yönetiminin; satın alma üzerinde etkisinin olduğunu, arama motoru optimizasyonu sayesinde işletmelerin web sitelerinin daha kolayca ve daha hızlı bulunabilir olduğunu, müşteri memnuniyetini artırdığını, işletmenin değerini ve verimliliğini artırdığını, ağızdan ağıza pazarlama ve marka bilinirliği üzerinde pozitif etkisinin olduğunu, arama motoru optimizasyonunun odaklandığı anahtar kelimelerin %95'inin ilk sayfada çıktığını ifade etmiştirler. ...
Bu çalışma gelen pazarlamayı tanımlayarak pazarlama çabaları üzerindeki etkisini belirlemeyi amaçlamaktadır. Araştırmanın hedef kitlesini herhangi bir ürün ya da hizmet satın almadan önce internet üzerinde araştırma yapan tüketiciler oluşturmuştur. Araştırma verileri online anket aracılığıyla toplanmıştır. Hedef kitleye ulaşabilmek için, ankete konulan eleme sorusuna "Hayır" cevabı verenler ile hatalı yanıt veren katılımcılar analizden çıkarılmıştır. Bu eleme sonucunda toplam 499 anket analiz edilmiştir. Toplanan verilerin güvenilirlikleri Cronbach Alfa Katsayısı ile geçerlilikleri ise Faktör Analizi ile test edilmiştir. Oluşturulan hipotezler Yapısal Eşitlik Modeli ile test edilmiştir. Yapılan analizler neticesinde genel olarak gelen pazarlamanın (görünürlük yönetimi, aktif dinleme, topluluk oluşturma ve canlı iletişim) ağızdan ağıza pazarlama, marka bilinirliği ve satın alma niyeti üzerinde pozitif etkisinin olduğu sonucuna ulaşılmıştır. Oluşturulan hipotezlerden yalnızca "Bir firmanın canlı iletişiminin satın alma niyeti üzerinde pozitif yönde etkisi vardır." hipotezi desteklenememiştir. Yerli literatürümüzde konu ile ilgili sınırlı sayıda çalışmanın bulunması, yabancı literatürde ise konunun genelde nitel olarak ele alınmış olması ve nicel çalışmaların az sayıda olması çalışmanın önemini ortaya koymaktadır.
... The related collected data is indexed and stored on a database. All of these operations are performed by the search engine software (crawler, spider, bot) [7]. Essential competition factor among search engines is appeared during "relevant result showing, sorting" process. ...
... After determining the related pages with the performed querry, they must be shown to users in a sorted list structure. At this point, search engine algorithms take an important role and they try to show the most relevant results for users [7]. ...
... Briefly, searching robots collect data about each URL and store the collected data in a database. When a user connects to the search engine for a search session, references in the related database are evaluated and obtained results are returned back to user [7]. ...
span lang="EN-US">Internet of things (IoT) represents one of the main data-producing fields on the Internet, given the diversity and growth of smart objects around the world. The advancement of IoT paradigm and the variety of IoT special characteristics present major challenges for IoT search, which attract a great importance by industrials and researchers. Until now, a good deal of research has been focused on the development and implementation of IoT search solutions and tools, though there are still many issues, which must be studied and solved. This paper is interested to IoT search issue and tries to give a guideline to researchers interested in this issue as well as the proposal of a new general architecture for internet of things search engines. The article presents the concept of IoT search engines, a study of various existing solutions and the proposal of a new architecture which is based on 3 components and which respects the various requirements of IoT search engines. The results of this work are prominent as well as they will help researchers to identify future research directions.</span
... Over the years, a large body of literature studies the topic of search engine optimization(SEO), which is devoted to websites re-indexing and layout optimization. For instance, [17,18] studies the impact of link building and social sharing on increasing the rank of given websites, while [2,6,12,14] propose methods of adding keywords and tags as website's metadata in order to enhance the relevance between search queries and context of website. Additionally, some AB testing and causal inference analysis frameworks [7,8] are being proposed to leverage online experiments to select best web design and layout in optimizing organic traffic. ...
Organic search comprises a large portion of the total traffic for e-commerce companies. One approach to expand company's exposure on organic search channel lies on creating landing pages having broader coverage on customer intentions. In this paper, we present a transformer language model based organic channel page management system aiming at increasing prominence of the company's overall clicks on the channel. Our system successfully handles the creation and deployment process of millions of new landing pages. We show and discuss the real-world performances of state-of-the-art language representation learning method, and reveal how we find them as the production-optimal solutions.
... Arama Motoru Optimizasyonu (Search Engine Optimization-SEO), arama motorlarının bir web sitesinin içeriğini taramasını, dizine eklemesini ve anlamasını kolaylaştıran bir dizi değişiklik ve teknik olarak tanımlanmaktadır (Google's Search Engine Optimization Starter Guide, 2010). Arama motoru optimizasyonun (SEO) doğru bir şekilde yapılmasıyla, herhangi bir web sitesinin belirli anahtar kelimeler için bir arama motorunun tarama sonuçlarının (SERP) üst sonuç listelerinde görünmesini sağlamaktadır (Yalçın ve Köse, 2010). Diğer bir ifadeyle, SEO sayesinde web sitesinin organik veya "doğal" arama sonuçlarında daha üst sıralarda yer almasına imkân tanınarak, arananları (ürün, hizmet, bilgi, haber v.s.) arayanlar için daha görünür hale getirilmesini sağlayan tüm teknikleri içermektedir. ...
... Arama Motoru Optimizasyonu (Search Engine Optimization-SEO), arama motorlarının bir web sitesinin içeriğini taramasını, dizine eklemesini ve anlamasını kolaylaştıran bir dizi değişiklik ve teknik olarak tanımlanmaktadır (Google's Search Engine Optimization Starter Guide, 2010). Arama motoru optimizasyonun (SEO) doğru bir şekilde yapılmasıyla, herhangi bir web sitesinin belirli anahtar kelimeler için bir arama motorunun tarama sonuçlarının (SERP) üst sonuç listelerinde görünmesini sağlamaktadır (Yalçın ve Köse, 2010). Diğer bir ifadeyle, SEO sayesinde web sitesinin organik veya "doğal" arama sonuçlarında daha üst sıralarda yer almasına imkân tanınarak, arananları (ürün, hizmet, bilgi, haber v.s.) arayanlar için daha görünür hale getirilmesini sağlayan tüm teknikleri içermektedir. ...
... Table 3 shows the research summary of different studies, where researchers reported different quality factors for websites. Themistoklis et al, [25] Iman Rasekh [26] David Schubert [27] Yalcin et al. [28] Friedrich et al. [29] Pallant et al. [30] T. Ramayahet al. [31] Domain Authority, Page Authority Link Optimization, Page Speed, Content Responsiveness, Speed, Social Dimensions Design, Content, Navigation, SEO Social Commerce Features Organic, Paid, attractiveness CEO's IT innovativeness, Security ...
... According to Friedrich et al. [29] the study, social commerce is decisive towards attracting web traffic from new visitors which leads to better SERP ranking. Social commerce features refer to the social sharing features such as Facebook like button, rating, and customer review system like in Alibaba and Amazon's review and rating system, different community forums, etc. Pallant et al. [30] analyzed the use of organic and paid search. In this context, organic search is an extremely important choice for a stable SERP ranking position. ...
Search Engines (SEs) have become the most significant tool for retrieving information from the World Wide Web (WWW) against user-generated queries. Presently, the data available on the Internet is growing exponentially in three different dimensions i.e. size, processing power, & software intelligence. The WWW has evolved from being a collection of static content (web 1.0) to an intelligent web (Web 3.0). To reach a large audience on the internet, it is now essential for every business to have a website. However, to reach more viewers, a website must be visible on top of the Search Engine Result Page (SERP) because SERP top-ranking ultimately gives benefits in terms of more web traffic and helps to generate more revenues. This paper introduces the important concepts of Search Engine Optimization (SEO) and provides numerous guidelines for website developers to enhance the visibility of their websites in the eyes of search engines. We concluded our paper by proposing key factors and introducing a SERP equation to predict business website ranking.
... Given that most retail traffic through search engines comes from SEO links (Baye et al., 2015), the technical mechanism of SEO has been the subject of several papers but has not studied long-run effects, which are considered relevant for strategic resource allocation and positioning of the website and the brand. Most of the literature considers concrete aspects of website design and tools to identify strong keywords and trends (Yalçın & Köse, 2010;Kaushik, 2009), including recommendations about specific structure, content, and linkage optimization or the optimal proportion of the number of keywords concerning the total number of words on the website (keyword density) to achieve a high positioning Malaga, 2008). ...
... Search engine keywords can be differentiated by the associated marketing technique in organic and paid keywords. SEO, commonly referred to as organic positioning, is defined as the adaptation of the content, design and technical configuration of the website to achieve a high positioning in the SERP and hence increase customer attraction to the website (Sheffield, 2020;Baye et al., 2015;Yalçın & Köse, 2010). Search engine marketing (SEM) in turn refers to paid advertising campaigns through tools provided by the search engine based on auction mechanisms for keywords to be placed in the first positions or highlighted position of the search results; when a user clicks on the ad and arrives at the corresponding website, the advertiser is paid by the website owner (Yang et al., 2015;Edelman et al., 2007). ...
In digital marketing planning, keyword choice for search engine positioning is crucial for customer attraction, and the associated investment is an increasingly relevant part of the marketing budget. To what extent is it possible to optimize over time the resources allocated to positioning a brand on search engines? Often keyword costs are understood as monetary costs and the literature on keyword auctions suggests convergence towards a long-run equilibrium expenditure path. However, search engine optimization techniques, associated with implicit costs, have mainly focused on the short run. This paper suggests drawing long-term inferences from estimated cost per click, as the economic cost of organic keywords.
Web analytics software is used to gather these data for leading fashion e-commerce. A time series test of transition dynamics identifies convergence of economic keyword costs between branded and generic keywords or catch-up, as an early state of convergence, for almost all considered e-commerce.
