Practical writing on SEO, AEO and GEO: how engines choose what to show, what makes content quotable, and how to measure it. No folklore, no invented statistics.
Answer Engine Optimization (AEO) is the practice of making your brand the answer that AI assistants like ChatGPT, Perplexity and Gemini give when people ask questions in your market. Here is what it actually involves, and how it differs from classic SEO.
READ →Generative Engine Optimization (GEO) is about earning citations inside AI-generated answers. A practical guide: how generative engines pick sources, what makes content quotable, and a workflow for tracking your citations.
READ →Three acronyms, one goal: being found. A clear-eyed comparison of search engine optimization, answer engine optimization and generative engine optimization — where they overlap, where they diverge, and how to split your effort.
READ →A pragmatic technical SEO audit checklist: crawlability, indexation, speed, structured data, and the handful of on-page issues that cause most ranking problems — ordered so an afternoon of work fixes the worst first.
READ →How to analyze competitors' SEO with public information: which keywords and pages to compare, how to find content gaps, what a tech-stack x-ray tells you, and how to track rivals without drowning in dashboards.
READ →Which meta tags actually affect search and AI-answer visibility in 2026: title, description, canonical, robots, Open Graph and JSON-LD structured data — plus the legacy tags you can safely delete.
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