• Gemini App Tools – A Technical Overview

    At its core, Gemini operates as an orchestration layer managing a foundational large language model (LLM). Its primary function is to deconstruct a user prompt into a directed acyclic graph (DAG) of executable tasks. These tasks are then delegated to a suite of specialized tools accessed via synchronous API calls.

  • EmbeddingGemma: The Game-Changing Model Every SEO Professional Needs to Know

    EmbeddingGemma: The Game-Changing Model Every SEO Professional Needs to Know

    Why Google’s Latest Embedding Model Could Reshape Search Understanding In the business of Gen AI search optimization, staying ahead means understanding the underlying technologies that power modern search systems. Today, Google has released EmbeddingGemma, a ground-breaking multilingual embedding model that represents a key piece of the puzzle for anyone serious about understanding how Google processes…

  • Primary Bias on Selection Rate in AI Search

    Primary Bias on Selection Rate in AI Search

    What is Selection Rate? Selection Rate (SR) is a key performance metric for AI systems that measures the frequency with which an AI selects and incorporates a specific item from a total set of grounding results. It serves as the Gen AI-native equivalent of Click-Through Rate (CTR) in traditional digital interfaces. SR = (Number of…

  • The Latent History of AI Boom

    The Latent History of AI Boom

    This is the story of how AI transitioned from niche to mainstream and the pieces that fell into place to make that happen. Picture this. It’s 2017, we’re in the era dominated by Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), LSTM is cutting edge. These models are tiny, and the common wisdom is…

  • AI Overviews = Dialogflow Agent?

    AI Overviews = Dialogflow Agent?

    Joshua Squires shared one of the most interesting AI Overview leaks and for some reason it was mostly ignored by the SEO industry. I’d like to draw your attention to it today because it provides two key details framing AI Overviews as an implementation of Google’s Dialogflow agentic framework which is backed up with an…

  • Fan-Out Query Search Volume Prediction Using Deep Learning

    Fan-Out Query Search Volume Prediction Using Deep Learning

    While traditional keyword research tools provide valuable data, they often fall short in discovering truly novel or long-tail search query variations that a business might not yet rank for, or even be aware of. This is where our query fan-out model comes in. Using advanced language models to generate a vast array of related search…

  • Comprehensive Guide to Identifying AI Comment Bots

    Comprehensive Guide to Identifying AI Comment Bots

    Some people use AI to speed up the process of getting their ideas and message out. Others use it to polish up their language which I think is really cool use of AI, especially if they’re not a native speaker. But there’s also the hordes of mindless AI slop generators masquerading as meaningful human engagement,…

  • What is “Help Me Write” in Chrome?

    What is “Help Me Write” in Chrome?

    Introduction “Help Me Write” is Google Chrome’s AI-powered writing assistant designed to help users create short-form content directly within their web browser. Launched with Chrome version 121, this feature leverages artificial intelligence to generate text suggestions based on user prompts and the context of the webpage you’re viewing. How Does Help Me Write Work? The…

  • Introducing Tree Walker

    Introducing Tree Walker

    Stop Guessing, Start Optimizing. Introducing Tree Walker for the New Era of AI Search The digital marketing landscape is in the midst of a seismic shift. With the rise of AI-powered search engines and generative experiences, the old rules of SEO are being rewritten. Marketers and content strategists are asking the same urgent question: “How…

  • Does Schema Help With “AI”?

    Does Schema Help With “AI”?

    This test is designed to show whether Open AI’s browsing tool does a better job at supplying their model GPT-5 with grounding context from a page with schema. We took the exact HTML from the original experiment here, stripped off the “experiment” from the title and header and uploaded here and here and then ran…