Practical, data-driven articles on SEO and AI visibility.
How Google counts impressions in AI Overviews and AI Mode (only visible links), why position and clicks work differently, and how to measure your AI visibility reliably.
What a canonical tag is (a hint, not a directive), when to use it, how to set it up and the mistakes Google explicitly warns against.
How hreflang works, the three ways to add it, the hard rules (reciprocal, self-referencing, x-default) and the most common mistakes.
What INP is, the thresholds (good under 200 ms), how to measure it with Search Console and PageSpeed Insights, and how to make your site respond faster.
JavaScript SEO keeps a JavaScript-driven site findable. Here’s how to spot the visibility gap and close it, for Google and AI.
E-E-A-T determines which brands Google and AI are likely to show. What it is, why it’s crucial for AI search, and how to strengthen it.
GEO makes AI search engines like ChatGPT name your brand. How Generative Engine Optimization works and how you get cited in AI answers.
Advertising makes little sense if candidates can’t find or understand your vacancies. Here’s how to make them findable, even in an AI search world.
SEO is not dead, AI makes it more important. The numbers, what changes, what stays, and how to keep your visibility in both Google and AI.
Too dependent on ads and platforms? Here’s how to build your own organic findability that you don’t lose when the channel changes.
AI Mode generates direct answers above the search results. What that means for your visibility, click behaviour and SEO, and what to do now.
Generative AI creates content, agentic AI acts itself. What the difference is and what AI agents mean for your SEO and findability.
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