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.
To appear in Google AI Overviews, rank in the top results for the query and give Google a clean, extractable passage that answers it directly. Here is the work.
READ →llms.txt is a proposed markdown file at your site root giving AI systems a curated map of your content. No major AI crawler has confirmed reading it yet.
READ →Three honest ways to check Google keyword rankings: Search Console data, manual checks with gl/hl parameters, and rank trackers that query a fixed location.
READ →How to do keyword research without paid tools: mine customer language, use Google autocomplete and Search Console, and judge intent from the live SERP.
READ →Schema markup is JSON-LD structured data that tells machines what your page is about. A guide to the types that pay off, the ones that don't, and how to validate.
READ →Content gap analysis finds topics your buyers search where competitors have pages and you don't. A one-afternoon method that ends in a ranked publishing list.
READ →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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