We’ve been talking about LLMs and web search for a long time now, often finding ourselves in the middle of various debates and discussions. Recently, I’ve been exchanging ideas with…
Every AI visibility platform asks you the same question: “What prompts do you want to track?” And that’s where the problems begin. You sit in a meeting with your VP…
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…
As an SEO professional and developer, I’ve always been fascinated by the wealth of information hidden in Google’s “People Also Ask” (PAA) boxes. These questions reveal genuine search intent and…
When working with SEO data, I found myself constantly switching between my AI assistant and various SEO tools. This context switching wasn’t just inefficient – it broke the flow of…
Ever scrolled through Google Discover and wondered, “Why this article?” As a content enthusiast, I’ve asked that too. Discover is a powerful, personalized feed—especially on mobile—and a potential goldmine for…
Have you ever switched between your AI chat and Google Search Console? Maybe asking Claude a question, then hopping over to GSC to check clicks, impressions, or if that new…
In this guide, I’ll walk through how I built a free, open-source system to track and predict search engine rankings using AI. Whether you’re an SEO enthusiast, a developer interested…
Hey SEO folks!I came across a LinkedIn post last week by Michael King about the latest embedding model from Gemini. I didn’t know the latest Gemini embedding model. It only…
Today, I wanted to share a little behind-the-scenes look at a project I’ve been working on lately—a mini AI SEO crawler leveraging Google’s Gemini latest embedding model. It’s been an…