Keyword clustering: how to group keywords into pages
Keyword clustering, also called keyword grouping: what to group keywords by, how many belong in one cluster, when to split it, and worked examples.
Keyword clustering, also called keyword grouping: what to group keywords by, how many belong in one cluster, when to split it, and worked examples.
I explain in plain terms what keyword research is, why your business needs it, what steps it involves and why every SEO campaign starts with building a keyword map.
AEO (Answer Engine Optimization) vs GEO — I break down how the two terms differ, where they get confused, and why in practice they are two emphases of one job. No marketing fog, straight to the point.
GEO vs SEO — I compare the goals, metrics and tactics of both approaches and show where they overlap and where they diverge. Spoiler: choosing one over the other is usually unnecessary, they complement each other.
Programmatic SEO in 2026 after Google's March and June spam updates: how to scale pages via templates and databases without triggering the scaled content abuse filter. The boundary, and a checklist.
Generative Engine Optimization (GEO) is optimizing to be cited in AI answers: ChatGPT, Google AI Overviews, Perplexity, Gemini. I break down how GEO differs from SEO mechanically and which metrics to track.
How long until SEO results: first shifts in 2–3 months, visible traffic in 4–6, a steady flow of leads in 6–12. I break down what happens month by month and what the timeline depends on.
Site speed affects rankings indirectly — through Core Web Vitals, user behaviour and crawling. Here is which metrics actually matter and what to fix first.
How to set up hreflang on a multilingual site, which mistakes break the whole markup at once, and how to verify that Google actually accepted it.
A jargon-free explanation of technical SEO optimization: what a technical audit covers, why your business needs it and how to tell if your site needs one.
Why Google is not indexing your pages: what each Search Console status means, the real reasons behind refusals and the order of fixes that works.
The Estonian Data Protection Inspectorate precept in case 2.1.-6/21/4: what I violated, what I fixed, and why the case closed with a reprimand.