• Another failed attempt to kill SEO

    Another failed attempt to kill SEO

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    by

    Dan Petrovic
    in

    If Marie Haynes, Barry Schwartz or Cindy Krum had written an article declaring SEO dead and proposing we rebrand our industry you’d seriously consider it. Wouldn’t you? What about Zach Cohen and Seema Amble? I don’t know either. Looked them up just now. Two VC people with insignificant footprint or long-term interest in SEO, Machine…

  • Vector Embedding Optimization

    Vector Embedding Optimization

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    by

    Dan Petrovic
    in

    Embedding Methods Evaluation: Results, Key Findings, and a Surprising Insight On June 6, 2025, we ran a comprehensive evaluation comparing four different embedding methods—regular, binary, mrl, and mrl_binary—on a dataset of paired sentences. The goal was to measure each method’s speed, storage footprint, similarity quality, and accuracy against a ground-truth of sentence pairs. Below, we…

  • Dissecting Gemini’s Tokenizer and Token Scores

    Dissecting Gemini’s Tokenizer and Token Scores

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    by

    Dan Petrovic
    in ,

    As a technical SEO, you might be diving into machine learning (ML) to understand how tools like Google’s Gemini process text. One foundational concept is subword tokenization—breaking words into smaller pieces called “tokens.” While tokens themselves are context-agnostic (they don’t consider surrounding words), they do carry an inherent bias: each token’s likelihood reflects how prominent…

  • There’s a small army of on-device models coming to Chrome

    There’s a small army of on-device models coming to Chrome

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    by

    Dan Petrovic
    in ,

    1. ULM128M 2. LLMIT1B 3. GEMINI2_NANOV2 4. GEMINI2_NANOV2_EE2Q 5. GEMINI_XS 6. GEMINI_XS_DRAFTER_6LAYER_CAUSAL_USM_700M_RESIDUAL 7. GEMINI_XS_LUSM_700M_RESIDUAL_BOTTOM15 8. GEMINI2_NANOV2_EE12Q 9. GEMINI2_NANOV2_EE2_LUSM_700M 10. GEMINI2_NANOV2_CAUSAL_700M 11. GEMINI2_NANOV2_EE20_CAUSAL_LUSM_700M 12. GEMINI_XL_DRAFTER_24LAYER 13. GEMINI_XS_FA1 14. GEMMA2_8B 15. GEMMA2_7B 16. GEMMA2_2B 17. GEMMA3_1B 18. GEMMA3_4B 19. GEMMA3_12B 20. GEMMA3_27B 21. STABLELM_4E1T_3B_PHI_2_TF_LITE

  • Multi-Step Research Agent

    Multi-Step Research Agent

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    by

    Dan Petrovic
    in

    This post is the output from the implementation of Google’s query fan-out in an agentic framework inspired by Google’s Gemini Agent repo. Query: What services does DEJAN AI offer? The following is raw copy/paste from the agent’s output: Research Progress Initial Search Strategy: The search strategy aims to identify the range of services offered by…

  • Query Fan-Out Prompt Implementation in Google’s Open-Source Agentic Framework

    Query Fan-Out Prompt Implementation in Google’s Open-Source Agentic Framework

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    by

    Dan Petrovic
    in ,

    Google’s open-source “Gemini Fullstack LangGraph Quickstart” pairs Gemini 2.5 with LangGraph to showcase a fully transparent, citation-driven research agent (Mikami 2025). A React frontend (Vite, Tailwind CSS, Shadcn UI) collects user queries and displays progress, while a FastAPI/LangGraph backend orchestrates a multi-step workflow: Although this isn’t Google’s official Gemini implementation as seen in AI Mode…

  • From Hallucinations to Clicks

    From Hallucinations to Clicks

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    by

    Dan Petrovic
    in

    Anastasia Kotsiubynska proposed a method to repurpose LLM-hallucinated URLs and set up redirects from hallucinated 404 instances with more than one session to most similar valid 200 pages. I really like this, but since I work on websites with many millions of pages where volumes of hallucinated URLs are typically beyond the scope of manual…

  • What is GEO?

    What is GEO?

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    by

    Dan Petrovic
    in

    GEO stands for Generative Engine Optimisation, an acronym easily confused with, the well-established “geo-” prefix commonly associated with Geosciences. What is a ‘Generative Engine’? Generative engine is recently made up term by the marketing community in an attempt to rename Chatbots, more recently known as AI Assistants including ChatGPT, Claude, Grok, Gemini and Perplexity. Basically…

  • AI Mode & Page Indexing

    AI Mode & Page Indexing

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    by

    Dan Petrovic
    in ,

    Our tests show that Google’s AI Mode doesn’t retrieve page content from the live web but somewhere else, and that “somewhere else” appears to be a proprietary content store separate from the search index. How do we know this? We found a case where AI Mode failed to fetch a page that’s indexed and ranking…

  • AI Mode is Not Live Web

    AI Mode is Not Live Web

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    by

    Dan Petrovic
    in ,

    I recently stumbled upon a fascinating aspect of how Google’s AI Mode (powered by a custom Gemini model) interacts with the internet. I ran a simple test, and the results suggest that instead of performing truly live fetches for all URLs, the AI Mode relies on Google’s existing index or a cached version of the…