Titlebook: Data-Driven SEO with Python; Solve SEO Challenges Andreas Voniatis Book 2023 Andreas Voniatis 2023 SEO.Python.Data Science.Machine Learning

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Introduction,Before the Google Search Essentials (formerly Webmaster Guidelines), there was an unspoken contract between SEOs and search engines which promised traffic in return for helping search engines extract and index website content. This chapter introduces you to the challenges of applying data science to SEO and why you should use data.

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Content and UX,Content and UX for SEO is about the quality of the experience you’re delivering to your website users, especially when they are referred from search engines. This means a number of things including but not limited to

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Dashboards,Although a performance dashboard system in itself doesn’t solve SEO problems directly, having the infrastructure can be a very useful repository for data to support SEO science as well as create visuals that communicate useful trends, changes, threats, and opportunities.

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The Future of SEO,The exploration of applying data science methods to SEO ultimately leads to further questions on the evolution of SEO as an industry and a profession.

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