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
- AI search optimisation
How to Track AI Overviews for Your Keywords (Free AI Overview Tracker)
Check which keywords trigger AI Overviews, which domains they cite, and your share of citations, then compare it with your rank tracker.…
Lazarina Stoy24 Oct 2026 · 11 min - Implementation guides
Keyword Clustering: SERP-Based vs Semantic, and a Free Tool for Both
SERP-overlap and semantic keyword clustering see different things. Compare them on worked examples and use a free notebook that combines both into…
Lazarina Stoy24 Oct 2026 · 12 min - Implementation guides
DataForSEO API in Python: Pull SERP Data with a Free Notebook
A beginner's walkthrough of the DataForSEO SERP API in Python: Live vs Standard mode, reading the response, keeping costs predictable, and what…
Lazarina Stoy24 Oct 2026 · 12 min - Implementation guides
10 Ways to Automate Internal Linking with AI
Ten ways to automate internal linking with AI: orphan detection, clustering into hubs, embedding-based link suggestions, Search Console query opportunities, LLM anchor…
Lazarina Stoy22 Oct 2026 · 29 min - Implementation guides
10 Ways to Automate SERP Analysis with AI
Ten ways to automate SERP analysis with AI and Python: scheduled SERP API collection, LLM classification, entity and n-gram gaps, People Also…
Lazarina Stoy22 Oct 2026 · 28 min - AI search optimisation
Blog and Site Architecture for SEO and Conversions in the AI Search Era
How to structure your blog for readers, search engines and AI search: click depth vs URL depth, flat vs tree URLs, hubs…
Lazarina Stoy22 Oct 2026 · 42 min - AI search optimisation
Image SEO in 2026: The Complete Guide to Image Optimisation, Advanced Tactics and Multimodal Search
The complete 2026 guide to image SEO: file names, alt text, AVIF and WebP, lazy-loading and LCP, image sitemaps, structured data and…
Lazarina Stoy22 Oct 2026 · 46 min - Implementation guides
YouTube SEO: How to boost video visibility and grow your channel (free checklist)
Improve your YouTube SEO with repeatable systems for research, scripting, recording, uploading and promotion, plus a free 72-step YouTube SEO checklist. Updated…
Lazarina Stoy22 Oct 2026 · 18 min - Implementation guides
How to do a YouTube SEO Audit for improved organic search visibility (step-by-step guide)
Follow this step-by-step guide to a YouTube SEO audit: goals, competitor benchmarking (with a free YouTube Data API notebook), channel health, audience…
Lazarina Stoy22 Oct 2026 · 36 min - Implementation guides
Web Scraping of Page Content in 3 Easy Steps with Screaming Frog
Scrape page content into a spreadsheet with Screaming Frog custom extraction: copy a selector (or click it with Visual Custom Extraction), set…
Lazarina Stoy22 Oct 2026 · 10 min - Implementation guides
The Ultimate Guide to the IndexNow API: Instant Indexing for Bing, Yandex and Other Search Engines (with Python)
Tell search engines about your changes the moment you make them. IndexNow is a website protocol, designed and maintained by Microsoft Bing…
Lazarina Stoy22 Oct 2026 · 20 min - Implementation guides
Structured Data Automation with Python: Detect, Generate and Validate JSON-LD at Scale
Stop typing schema by hand. Structured data is a standardised format for providing information about a page and classifying the page content.…
Lazarina Stoy22 Oct 2026 · 16 min











