Is It Possible to Build? Universal LLM Optimization Analyzer with Gemini API for Screaming Frog

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

CiteMET Method Part 2: The Technical Playbook for AI Memory Optimization

Thank you. Seriously, thank you. When I published Part 1, I expected maybe a few dozen shares. Instead, hundreds of you commented/reached out. DMs flooded with implementation screenshots. Teams started testing. I talked with many teams. (Important note: I didn’t provide any paid consultancy for this method, it’s very basic and there many clever minds/teams … Read more

[MUVERA] How to Run a Multi-Vector Retrieval Analysis with Screaming Frog

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

Why “AI Share Buttons” Might Be the Smartest Growth Hack: The CiteMET Method

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

Experiment with Google Document AI Layout Parser: Here’s What I Found

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

Experiment with Google Vertex AI Ranking API: Here’s What I Found (Free Script)

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

Moz MCP: Bring Your SEO Tool Capabilities into LLMs

The Model Context Protocol (MCP) has opened up exciting possibilities for extending AI assistants with real-time data access. Today, we’re exploring a practical implementation: a comprehensive Moz API integration that brings professional SEO analysis directly into Claude Desktop. IMPORTANT NOTE: This MCP Server is not official. I created it. I still get errors sometimes. You … Read more