Writing
SEO
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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…
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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…
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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…
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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…
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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…
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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,…
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How to incorporate machine learning in your SERP analysis: my BrightonSEO talk, revisited
My BrightonSEO talk on using machine learning for SERP analysis, written up: the MoSCoW framework, five analyses (competitors, entities, sentiment, intent, n-grams),…
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How to Implement Machine Learning in Your Internal Linking Audit (My BrightonSEO Talk)
The write-up of my BrightonSEO talk on machine learning in internal linking audits: the six-part framework (why, analyse, cluster, discover, link, deliver),…
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