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JOURNAL · 010 ENTRIES

field
notes.

Research, methodology, and longitudinal observations from inside the observatory. We share what we see, why we think it matters, and the tools we use to see it more clearly.

  • 001
    Product UpdateAI VisibilityMCP

    Your AI visibility data, anywhere: the BotScope API & MCP server

    BotScope now has a read-only REST API and a hosted MCP server. Pull your visibility data into your own stack — or just ask Claude how your brand is doing and let it query BotScope directly.

    27 June 2026 · 5 min read
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  • 002
    Product UpdateAI Visibility

    Annotations: mark what changed, right on your charts

    Your visibility charts show what moved. Annotations capture why — content changes, prompt edits, provider switches, model updates — pinned to the exact date, and ready to show clients.

    25 June 2026 · 5 min read
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  • 003
    AI VisibilityGEO

    The 9 Best AI Visibility Tools in 2026 (Yes, We're One of Them)

    An AI visibility tool tracks whether models like ChatGPT and Claude mention, recommend, and cite your brand. Here are the nine best in 2026 — including ours, clearly labelled.

    10 June 2026 · 9 min read
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  • 004
    GEOAI Visibility

    GEO vs SEO: What's Actually Different (and What Isn't)

    SEO earns you a position in ranked results. GEO earns you a place inside AI-generated answers. Here is what actually changes — surfaces, tactics, KPIs — and what stays exactly the same.

    10 June 2026 · 8 min read
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  • 005
    StudioMethodology

    Why we built BotScope

    A new generation of customers asks Claude, ChatGPT, and Perplexity instead of Google. We needed an instrument to watch what the models were saying.

    26 April 2026 · 4 min read
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  • 006
    MCPAI Agents

    MCP vs API: How the Model Context Protocol Differs from Traditional APIs

    APIs have been the backbone of software integration for decades. Now the Model Context Protocol (MCP) is emerging as a new standard built specifically for AI agents. How do they compare, and when should you use each?

    15 March 2026 · 5 min read
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  • 007
    MCPAI Agents

    What is MCP? A Simple Guide to the Model Context Protocol

    The Model Context Protocol (MCP) is quickly becoming one of the most talked-about standards in AI. But what exactly is it, how does it work, and why should you care? This guide breaks it all down in plain language.

    15 March 2026 · 6 min read
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  • 008
    MCPAI AgentsWebsite Design

    Retrieval-Augmented Generation (RAG) vs. Model Context Protocol (MCP): Exploring the Differences

    With the rapid evolution of AI technologies, methods such as Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) are becoming central in improving AI-generated content. While both methods aim to enhance AIs ability to provide accurate and contextually relevant outputs, they operate in distinctly different ways. Lets look into the key differences and their implications.

    31 May 2025 · 4 min read
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  • 009
    MCPAI AgentsWebsite Design

    5 Key Ways AI Agents Will Change Website Design

    The rise of AI agents—autonomous systems that can interact with digital environments on behalf of users—is reshaping the internet as we know it. As these agents become more prevalent in how people search, shop, and interact online, **website design must evolve** to accommodate this new kind of "user."

    30 May 2025 · 5 min read
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  • 010
    MCP

    An Introduction to The Model Context Protocol for Website Owners (MCP)

    In the fast-moving world of AI, new technologies and protocols are emerging that promise to reshape how machines interact with the web. One of the most exciting developments is the **Model Context Protocol (MCP)** — a standard designed to improve how AI models understand, navigate, and retrieve content from websites.

    28 May 2025 · 5 min read
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BOTSCOPE / OBSERVATORY

The observatory for AI visibility. Watch how Claude, ChatGPT, Gemini, Google AI Overviews, Microsoft Copilot, and Perplexity see your brand.

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