The Science of SEO: Decoding Search Engine Algorithms

Go beyond the standard checklists and “ultimate guides” to learn what really makes Google tick

The Science of SEO is an intuitive and practical discussion of the computer science of search engine optimization. In the book, you’ll explore the relevant aspects of information retrieval, natural language processing, and generative AI you can use to accelerate and level-up your understanding of how search engines retrieve, parse, and―most importantly―rank information.

As you build your technical SEO skillset and improve your working knowledge of how modern search engines―like Google, Bing ,and Yandex―operate, you’ll learn to go beyond simply copying the tactics and strategies found in widely read blogs and build mental models of how search actually works―and evolves―on the modern web.

The book also offers:

• An easy-to-understand entry point for anyone trying to learn information retrieval on the web
• Techniques for building your own software (in Python and Node) that helps you analyze and navigate hidden opportunities presented by Google
• How to directly interface with engineering teams through SEO product management techniques and workflows

An essential and insightful presentation of technical SEO concepts paired with step-by-step Python and Node implementations to build your own search engine, The Science of SEO is tailor-made for SEO and web professionals seeking easy-to-follow information to help them advance their “under-the-hood” knowledge of search engine optimization.

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