Metehan Yesilyurt

The rise of AI-driven search engines like Google’s AIO & AI Mode, ChatGPT and Perplexity has created a seismic shift in how content is ranked, surfaced, and evaluated. In this guide, we’ll explore an EXPERIMENTAL custom JavaScript snippet that integrates with Screaming Frog and leverages Gemini 1.5 Flash API to evaluate any webpage’s LLM-readiness. This … Read more

Google’s MUVERA (Multi-Vector Retrieval via Fixed Dimensional Encodings) represents a breakthrough in making complex multi-vector retrieval as fast as single-vector search. I wanted to build a Custom Javascript Snippet for Screaming Frog implementation aligns with the core principles of MUVERA research. Read Google’s research here: https://research.google/blog/muvera-making-multi-vector-retrieval-as-fast-as-single-vector-search/ It’s not live yet. Why This Implementation Is Experimental … Read more

If you’re reading this, chances are you’re feeling it too: Google isn’t what it used to be. Publishers, affiliate marketers, SaaS companies, even large media outlets are all seeing organic search declines. As a growth marketer, my mission is driving more high quality traffic with effective growth funnels. I came up with an idea today. … Read more

Do you know you can run Query Fan-Out analysis directly in Screaming Frog? I just built a custom JavaScript that uses Gemini AI to predict how Google’s AI Mode breaks down your content into sub-queries. After testing it on over 2000 pages, I discovered something that can concern every SEO: most pages only answer 30% … Read more

I recently ran an experiment using Google’s Document AI Layout Parser (available in Google Cloud Console) on three different types of web content. While this isn’t exactly how Google Search processes pages, it gives us some useful insights into how machine parsing might interpret our document structures. The goal? To help SEOs think more carefully … Read more

For years, we’ve optimized for SERP positions. But what if we could look deeper — to see how semantically relevant a piece of content is according to Google’s own AI models? I built a custom workflow using: DataForSEO for SERP + content crawling Google’s Vertex AI Ranking API to score semantic relevance My own interpretation … Read more

In April 2025, I presented this live on the main stage at BrightonSEO – not as a prediction, but as a working glimpse into how AI is rewriting the rules of search. This isn’t theoretical. It’s live. And you can try it yourself. Call it SEO or GEO (I believe it’s still SEO and nothing … Read more