Semantic ML-enabled Keyword Research Course by Lazarina Stoy.

Description

Important Note on Purchases:

• First batch of course materials went live on 10th of November. Here’s what’s live already:

• Second release planned for 15th of November, which will include the following modules

• Third release (and final for the course) planned for 30th of November

*Note: The getting your data lesson is already out, as I think it’s an important one to view before running the practical exercises, mentioned in the lessons in the modules that are already released.

 

Semantic ML-enabled Keyword Research

This course, Semantic Keyword Research: From Theory to Practical Application, offers an in-depth exploration of modern keyword research strategies, moving beyond traditional approaches.

You’ll learn how to leverage query semantics, entities, search intent, and knowledge graphs (to name a few concepts) to create user-centric content strategies. With a focus on user behaviour, query paths, and machine learning, this course will guide you through advanced data analysis techniques and practical tools for semantic keyword research.

By the end, you’ll be equipped to conduct comprehensive keyword research, visualize your findings, and integrate them into actionable projects.

Modules & Lessons

1. Introduction & Overview
   1. The problem with traditional keyword research
   2. Who this course is for and what we’ll cover
2. Fundamentals of Semantic Keyword Research
   1. Entities, Entity Attributes, Entity Attribute Variables (EAV Model)
   2. Practical/Lab – How to use the Google Natural Language API for Keyword Entity Analysis
   3. Search Query Sequences and Query Path
   4. Practical/Lab – How to work with Google’s Autocomplete API to uncover Google-suggested query paths
3. Query Understanding and Analysis
   1. Query Augmentation
   2. Query Context and Session Context
   3. Implicit User Feedback and User Search Behaviour
4. Understanding the SERP – Theory and practice
   1. SERP Feature Analysis
   2. Practical/Lab – How to work with dataforSEO for SERP collection
   3. Practical/Lab – How to analyse SERP features for query semantics
   4. Practical/Lab – How to identify desired content formats and platforms served from SERP data
5. Search Intent – Theory and Practice
   1. Search Intent
   2. Practical/Lab – Methods for explicit search intent classification (rule-based, AutoML, and more)
6. Advanced Semantic Keyword Analysis Concepts
   1. Knowledge Graphs
   2. Information Gain
   3. How Google Uses Entities and the Knowledge graph (Patents)
7. Building a semantic keyword universe – Start to Finish
   1. Getting your data – data sources run-through
   2. Organising your database and keyword categorisation
   3. How to move from traditional to semantic keyword universe – Checklist, based on course tasks
   4. What a good semantic keyword universe looks like
8. Integrating Semantic Keyword Research Into Projects
   1. How to integrate semantic keyword research into real-world projects
   2. Practical/Lab – How to Automate Content Briefs from your Keyword Universe
9. Key Takeaways and What’s Next
   1. Course Takeaways
   2. What’s next

About the course instructor

Lazarina Stoy is a recognized expert in the intersection of SEO, data science, and machine learning. With a background in digital marketing and technology, Lazarina has worked with top-tier enterprise-level companies like AWS, Skyscanner, and Extreme Networks, leveraging machine learning to enhance SEO strategies, implement process automation, and drive organic growth. She is known for her ability to simplify complex technical concepts, making them accessible and exciting for both beginners and professionals.

Her expertise spans a range of areas, including technical SEO, content strategy, data visualisation, and ML-enabled automation. Lazarina has led numerous projects implementing machine learning for SEO tasks, before turning her passion for technology into the training platform MLforSEO, where she helps organic search marketers get onboarded into the world of AI. Additionally, she has developed training resources, contributed to major industry publications like Search Engine Land and Moz, and spoken at leading digital marketing conferences worldwide.

In this course, Lazarina will blend her passion for automation and process improvement with practical knowledge, helping SEOs leverage machine learning to enhance their work in a highly efficient, data-driven way​.