Machine Learning in SEO – Implementation Guides
Implementation guides for utilising machine learning in organic search and broader digital marketing projects, showing different ways that the data can support the execution of the project, or improve the organic search visibility strategy. These are guides are typically a follow-up to the Machine Learning Tutorials and Machine Learning Templates and show you the ‘what now’ section, following the execution of a ML API or the training of the model. What to do next, and how to ensure that the insights and data you have gathered is actually properly utilised and incorporated into your strategy or project.
57 posts
- Implementation guides
How to Structure and Categorise Keyword Data for Semantic Analysis
A flat keyword list is useless. A multi-dimensional keyword universe — categorised by intent, entities, topics, personas, content types, and SERP features…
Lazarina Stoy11 May 2026 · 13 min - Implementation guides
How to Turn Semantic Keyword Research Into an Actionable SEO Workflow
Semantic keyword research is wasted if it stops at analysis. Here's how to operationalise it across marketing, UX, content, and growth —…
Lazarina Stoy11 May 2026 · 12 min - Implementation guides
What Is Implicit User Feedback in SEO? How Behavioural Signals Shape Search Rankings
Implicit feedback is what Google calls the behavioural data it collects from how users interact with search results. Here's the patent-grounded picture…
Lazarina Stoy11 May 2026 · 14 min - Implementation guides
What Does a Good Semantic Keyword Universe Actually Look Like?
A semantic keyword universe isn't finished when the analysis is done. The real value emerges when the insights are understood, trusted, and…
Lazarina Stoy11 May 2026 · 14 min - Implementation guides
Different ways to Map Keywords to topics – with Supervised and Unsupervised ML approaches
Mapping keywords to topics can be a useful step in organising your keyword research process and your semantic keyword universe. It allows…
Lazarina Stoy3 Dec 2024 · 16 min - Implementation guides
How to use Google Autocomplete API and Places API for Keyword Suggestions with Python
Keyword suggestions are one of the most powerful ways to very quickly, with very minimal effort incorporate query semantics, and specifically to…
Lazarina Stoy12 Nov 2024 · 17 min - Implementation guides
How to do keyword clustering with KeyBERT
Keyword extraction is primarily used in Natural Language Processing (NLP) to identify the most relevant or important words or phrases (keywords) from…
Lazarina Stoy26 Oct 2024 · 9 min - Implementation guides
How to use generative AI with structured data for programmatic SEO
Prompt engineering is one of the hot topics these days, and it is constantly changing due to rapid changes in the guidelines,…
Elias Dabbas & Lazarina Stoy11 Oct 2024 · 14 min - Implementation guides
How to Automatically Optimize your SEO Metadata with FuzzyWuzzy and OpenAI in Google Colab
If you're looking to enhance your website's SEO without spending hours manually tweaking metadata, you're in the right place. In this tutorial,…
Lazarina Stoy & Natzir Turrado Ruiz8 Oct 2024 · 14 min








