Writing
Talks, essays and guides.
In-depth write-ups of my conference talks, plus guides on organic growth, AI automation and data. Looking for step-by-step tutorials or templates? They live on my other two sites.
-

Start here
Machine Learning for SEO: How to Get Started
My beginner’s guide to machine learning for SEOs, first given at WTSFest 2022 and updated for 2026: the task, data and solution framework, when to use classic ML, APIs, embeddings or an LLM, and how to…
-

Machine Learning for SEO: How to Get Started
My beginner’s guide to machine learning for SEOs, first given at WTSFest 2022 and updated for 2026: the task, data and solution…
-

AI-powered semantic keyword research for the AI era: my BrightonSEO talk, updated for 2026
The full workflow from my BrightonSEO October 2025 talk on semantic keyword research (entities and the EAV model, query paths, synthetic queries…
-

The sustainability issue with AI, and what we can change as marketers
My Belgrade SEO 2026 talk, written up: why per-prompt AI energy keeps falling while data-centre demand keeps rising, which kinds of AI…
-

Context (not content) is king in AI search: how AI search personalises, retrieves and cites
The full write-up of my SEOday and Berlin Campixx 2026 talk: why the same query gets different AI answers, how fan-out, memory…
-

Supercharging Marketing with Google Cloud ML APIs and Gemini: A Beginner’s Guide
My Women in Marketing – Bulgaria talk, updated for 2026: how marketers can automate content audits, entity analysis, moderation, transcription and copy…
-

The Content Transformation Framework: How to Make One Piece of Content Work Across Every Format (and AI Search)
My SEonthebeach 2024 talk, rebuilt for 2026: a seven-step content transformation framework for turning one source asset into articles, shorts, audio, social…
-

How to Automate Your Content SEO Audit with the Help of Machine Learning Models
The full write-up of my BrightonSEO 2024 talk: a four-stage content audit system using machine learning APIs for intent, topics, entities and…
-

How to incorporate machine learning in your SEO day-to-day
The write-up of my TechSEO Connect 2024 talk, updated for 2026: nine practical machine learning projects for SEO, from text classification and…
-

12 Google Sheets Formulas for SEO Keyword Research & Content Analysis
12 tested Google Sheets formulas for SEO: search intent classification, SERP feature analysis, branded keywords, site sections, languages, ranking buckets and brands…
-

Programmatic SEO: How to get started
What programmatic SEO is (and isn’t), how it differs from programmatic content, what Google’s scaled content abuse policy means for AI-generated pages,…
-

Rule-based vs AI-powered Automation: Key Differences and SEO applications
Rules or AI? How rule-based automation, task-specific machine learning, LLM workflows and agents compare on consistency, cost and reliability, when rules still…
The MLforSEO newsletter
Tutorials, research and AI-search news for marketers, from me and the MLforSEO team. One email a week, no hype.