The GeoNexo scoring model — what our visibility % means

    The formula shape behind our visibility score, why it's directly comparable across engines, and how to read your dashboard.

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    The GeoNexo scoring model — what our visibility % means

    TL;DR — Your visibility score is mentions ÷ responses × 100. One formula, applied consistently across every engine and every prompt, so the numbers are directly comparable. No rank-tracker "difficulty" scores, no black-box weightings.

    The formula

    For any slice you look at — a single prompt, a single engine, a competitor, your whole brand — the score is calculated the same way:

    visibility = (mentions ÷ responses) × 100
    
    • mentions = the number of AI responses (across engines × prompts × days in the window) that named your brand
    • responses = the total number of AI responses in that window

    That's it. Everything else in the dashboard rolls up from this one number.

    Why we use one formula everywhere

    A common frustration with rank trackers is that "your score" means different things on different tabs — one page uses average position, another uses share-of-voice, another uses estimated traffic. You end up not trusting any of them.

    We chose the opposite direction: one formula, applied everywhere. Whether you're looking at a single prompt on Gemini this morning, or your brand across all engines over the last 90 days, the arithmetic is identical.

    The trade-off is honesty over sophistication. We could weight bigger engines more, we could adjust for citation quality, we could layer semantic similarity — but every added variable is another thing you'd have to trust us on. Simple wins.

    Reading a score

    Rough bands for a typical B2B brand in a competitive category:

    ScoreMeaning
    0–5%You're invisible in AI answers for this slice
    5–15%Occasional mentions, mostly circumstantial
    15–30%You're on the shortlist
    30–50%You're a default answer
    50%+You dominate this slice

    These bands are directional, not gospel. Different categories behave differently — a niche vertical with three real players will run higher than a saturated one with dozens.

    What we compute on top of the score

    The one formula gives you the raw number. Everything else in GeoNexo is a lens on it:

    • Per-engine breakdown — same formula, filtered by engine
    • Per-prompt breakdown — same formula, filtered by prompt
    • Competitor visibility — same formula, applied to competitor mentions instead of yours
    • Trend over time — the daily score plotted across the window you pick
    • Gap prompts — prompts where your score is zero but a competitor's isn't

    What we do NOT expose (and why)

    We keep the internal prompt-selection logic, competitor de-duplication rules, and the engine-specific mention detection heuristics private. Not because they're mysterious — because they're the moat. Publishing them would let a competitor game the score without moving the underlying reality. Every score on your dashboard reflects a real AI answer we captured that day.