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RexBERT
RexBERT is a domain-specialized language model trained on massive volumes of e-commerce text (product titles, descriptions, attributes, reviews, FAQs). Unlike general-purpose transformers, it is optimized to understand the quirks of product data and the way consumers phrase queries. For a technical SEO professional, this means better alignment between how search engines interpret product content and…
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Annotated Page Content (APC)
1. Introduction What is APC? Annotated Page Content (APC) is a structured and actionable representation of a webpage’s content and layout. Its primary function is to enable a deep understanding of page structure, content, and interactive elements by downstream clients, who can receive the information as a protobuf tree. Core Principles APC is designed with…
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Deconstructing DomDistiller: How Chrome’s Reader Mode Algorithm Impacts Technical SEO
Chrome’s “Reader Mode” and its underlying engine, DomDistiller, provide a transparent look into the principles of machine readability. It’s a valuable, real-world model of how a sophisticated Google technology parses, evaluates, and isolates main content from boilerplate. Understanding its mechanics is not about optimizing for a browser feature; it’s about reverse-engineering a proxy for how…
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LLM is a Presentation Layer in AI Search
Classic IR: crawl, index, retrieve, rank remain with search engines. There is a persistent myth that large language models (LLMs) have fundamentally replaced search. In truth, LLMs do not crawl the web, do not maintain indexes, and do not enforce ranking algorithms at internet scale. They operate as presentation and reasoning layers on top of…
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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.
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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…
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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…
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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…
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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…
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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…
