Features
    Wikipedia Intelligence

    Wikipedia is the truth source LLMs keep coming back to

    Wikipedia Intelligence turns raw AI answers into a metric you can act on.

    12k+
    answers analyzed / mo
    2
    models compared
    24h
    refresh cycle
    100%
    evidence backed
    Visualization

    Signal over time

    Sample data from a real GEO project

    Illustrative data

    W1W2W3W4W5W6W7W8W9W10W11W12015304560
    • ChatGPT
    • Gemini
    How it works

    From raw answer to actionable metric

    01

    Capture

    We ask the model your buying questions on a schedule.

    02

    Read

    Two layers parse each answer: deterministic + LLM.

    03

    Act

    Every metric drills down to the exact words behind it.

    Evidence

    Every metric, with the exact line behind it

    ChatGPT
    "Verbatim line from a model answer that powered the metric above."
    Prompt: sample buying question
    Gemini
    "A second example, neutral in tone but rich in context."
    Prompt: competitor comparison

    When a model needs a fact, it reaches for Wikipedia. That makes a Wikipedia presence one of the quiet foundations of AI visibility. Wikipedia Intelligence shows you how heavily the models lean on it in your category, and where that leaves you.

    What Wikipedia Intelligence does

    It tracks how often Wikipedia appears as a source in the AI answers across your prompts, and how prominently it features in your sector. You see whether the models treat Wikipedia as a backbone for your category's answers, which tells you how much a presence there is worth.

    Why it matters for GEO

    Models treat Wikipedia as close to ground truth. If your brand, your founders or your category concepts have accurate, well sourced Wikipedia coverage, you are feeding the model reliable facts it will repeat. If you are absent or out of date there, you are leaving the model to fill the gap from elsewhere. Knowing how much Wikipedia drives your category is the first step to deciding whether to act on it.

    What to do with it

    Audit whether your category leans on Wikipedia at all. Identify where accurate, well cited entries could shape the facts models repeat. Prioritize the work that sits behind the most trusted source on the web.

    Part of the source intelligence suite, with Reddit and YouTube Intelligence.

    Why it matters

    Built to move real numbers

    Always evidence first

    No metric is reported without the verbatim line behind it.

    ChatGPT, Gemini, Google AI Mode and Perplexity

    Side by side, in the country and language you care about.

    Export-ready

    Send results into a client report or a Slack alert.

    FAQ

    Frequently asked

    How often does it refresh?+

    Daily by default; on-demand re-runs are one click.

    Can I export this?+

    Yes — CSV, PDF and a public link suitable for client reports.

    Keep exploring

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