Search is moving into neural networks: people increasingly get answers directly in ChatGPT, Perplexity, and AI Overviews without ever visiting a website. We break down how AI models choose who to cite - and what to do to appear in their answers.
What Schema.org markup is in plain terms, why you should mark up your site, how it affects snippets in Google and citations in AI systems. Which markup types you actually need and where people most often go wrong.
What an SEO audit is, what it covers, and how to read a report with a score and priorities - in plain language. Plus a clear order: which errors to fix first so your site starts growing, and how to check yours in 30 seconds for free.
"AI agent" and "chatbot" sound similar, but they are different things and different money. We break down how an agent differs from a bot, where a simple bot is enough, and where you need an agent - and how not to overpay for unnecessary complexity.
How a working team of six AI agents is structured: who does what, how they hand off work to each other, and the pitfalls we ran into along the way. An unvarnished breakdown of the architecture built on the Hermes engine.
Core Web Vitals - three metrics Google uses to measure how pleasant a site is to use. We break down LCP, INP and CLS in plain English: what they are, why they affect rankings and sales, and how to improve them.