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This talk is a walk-through of different ways you can incorporate machine learning in SEO tasks. It will involve a speed-run of different task categories/ aspects of SEO work, and the models that you can use for this purpose, and the results of a comparative analysis of how they perform. Listeners will leave with (1) understanding of what are different ML models, and where to incorporate them in their day-to-day SEO work, (2) why and how to choose one solution over the other, (3) how to get started with the recommended ones (will be sharing videos/templates/walk-throughs) This session focuses on: The process of incorporating ML models and the aspects of SEO work when they can be incorporated (e.g. image captioning, generative work in content or meta elements, content localization, etc) A summary of comparative analysis work I’ve done where I’m comparing the performance of different models for specific tasks in SEO, and providing a recommendation of which one to use for what task and why Summary of steps and costs, plus templates/code to use Who is this talk for? Any SEO (agency), SEO manager (In-house), or site owner Team Leads, looking to upskill their teams and processes to rely a bit more on automation People interested in automation and ML/AI, and interested in going beyond chatGPT Those interested in saving some time in their day-to-day tasks via automation Read less