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Aris Wahyu Murdiyanto
Department Of Information System, Universitas Jenderal Achmad Yani Yogyakarta, Indonesia
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Journal : applied science and technology research journal

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SEO-Based Blog Content Pipeline Automation: Integrating Web Scraping and Generative AI for Digital Marketing Efficiency Aris Wahyu Murdiyanto; David Sulistiyantoro; Mukasi Wahyu Kurniawati
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 5 No. 1 (2026): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.9454

Abstract

The consistent production of Search Engine Optimization (SEO) content remains a crucial challenge in digital marketing due to the inherent inefficiencies of manual workflows. This study aims to design, develop, and evaluate the technical feasibility of an end-to-end hybrid content automation pipeline architecture. The proposed system integrates deterministic web scraping (Selenium and BeautifulSoup) for data acquisition, Generative AI (OpenAI GPT) for text synthesis and On-Page SEO optimization, the Replicate API for visual asset generation, and the WordPress REST API for autonomous publication. Employing a Proof of Concept (PoC) method at Technology Readiness Level (TRL) 3, the system was tested across two scenarios representing varying Document Object Model (DOM) structural complexities. Empirical results demonstrate that on websites with standard HTML structures, the system successfully operated autonomously, improving computational time efficiency by 98.8% (reducing the production cycle from an estimated 195 minutes to 2.25 minutes per article). The generated content proved to optimally meet On-Page SEO indicators. However, objective evaluation also revealed technical vulnerabilities in dynamic websites utilizing Client-Side Rendering (CSR), where static scraper scripts failed to extract the text payload. This study concludes that integrating generative AI into the production pipeline offers massive SEO scalability, yet it necessitates a more adaptive data extraction mechanism to achieve universal system reliability.
Co-Authors -, Purnawan Adri Priadana Adri Priadana Adri Priadana Agung Purwanto Soedarbe Agung Satria Panca Ahmad Adita Shiddiq Ahmad Adita Shiddiq Ahmad Hanafi Ahmad Hanafi Alda Cendekia Siregar Aldo Syahputra Alfun Roehatul Jannah Alfun Roehatul Jannah Almayanti Susillia Ningrum Alwiah, Izmy Angkotasan, Muhamad Arabi Rizki Arbintarso, Ellyawan Setyo Arif Himawan Arif Himawan Arif Himawan, Arif Aulia Puji Rahayu Bara Falah Adikaputra Catur Iswahyudi David Sulistiyantoro David Sulistiyantoro David Sulistiyantoro, David Sulistiyantoro Dewi, Tika Sari Dian Hafidh Zulfikar Dimas Pratama Jati Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Fitriatul Hasanah Gaguk Marausna Gerlan Haha Nusa Gilang Argya Dyaksa Haha Nusa, Gerlan Hamada Zein Heru Cahyono Ibnu Abdul Rosid Ida Ristiana Ikbal Rizki Putra Iqbal Hadi Subekti Iqbal Hadi Subekti Kadir Parewe, Andi Maulidinnawati Abdul Kharisma Kharisma Kusumaningtyas, Kartikadyota Latipah, Asslia Johar M Ikbal Siami M. Abu Amar Al Badawi Marausna, Gaguk Muhammad Akbar Ardani Muhammad Dzaki Nurrosyid Muhammad Fa’iz Alfatih Muhammad Habibi Muhammad Habibi Muhammad Ichwandar Akrianto Muhammad Luqman Bukhori Muhammad Rifqi Ma'arif Mukasi Wahyu Kurniawati Mukasi Wahyu Kurniawati Nafisa Alfi Sa'diya Naswin, Ahmad Nufia Alfi Rohyana Nufia Alfi Rohyana Nurcahyo, Raden Wisnu Nurul Fatimah Poetro, Bagus Satrio Waluyo Prasetiyo, Erwan Eko Puji Astuti, Nur Rochmah Dyah Purbobinuko, Zakharias Kurnia Purnawan Purnawan Puspita, Kori Putra, Fajri Profesio Putra, Ikbal Rizki Raden Wisnu Nurcahyo Risky Setyadi Putra Rudi Setiawan Samuel Kristiyana Satriawan Dini Hariyanto Septiyati Purwandari Sisilia Endah Lestari, Sisilia Endah Sugeng Santoso Sumiyatun Suparni Setyowati Rahayu Surya Rizki Syahruddin, Fajar Tarigan, Thomas Edyson Ulfi Saidata Aesyi Umar Zaky Yulianto Prabowo, Fajar Zennul Mubarrok