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This is an extended rambling version of my presentation for BrightonSEO October 2022. Here, you can find my deck: https://www.slideshare.net/LazarinaSt... You can find and copy the dashboard from this page: https://lazarinastoy.com/ml-enabled-s... You can find the associated Google sheets templates, needed for the analysis here: https://lazarinastoy.com/resources/ The page includes the following sections: 00:00 - Introduction & Context 00:57 - Why is the Search Engine Results page important? How does Google make changes to SERPs? 05:02 - Old way of doing SERP analysis & content production method vs what's needed 08:23 - MoSCoW classification of what's included in the presentation 10:45 - Analysis prerequisites & System Pre-requisites (What you need before you start) 13:11 - Competitor Analysis, using the Search Engine Results pages 28:11 - Entity Analysis & Entity sentiment of titles and meta descriptions 34:40 - Sentiment Analysis of titles and meta descriptions 43:44 - Other ways you can use Entity Analysis and Sentiment Analysis in SEO & digital marketing 46:10 - Search Intent Analysis - How to do custom classifications with Open AI's GPT-3 49:52 - Language Analysis - N-gram analysis & Custom Code Writing with Open AI's GPT-3 53:10 - Rank Analysis - How to do rank analysis using SERPs & how to incorporate machine learning 55:45 - Sign off & Key Takeaways