AirPulse
    Analytics · Layer 1

    The Single Metric for How AI Engines See Your Brand

    The AI Visibility Score condenses how often, how accurately, and how favourably ChatGPT, Claude, Perplexity, Gemini, and Copilot represent your brand into one number your whole team can rally around.

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    What is the AI Visibility Score?

    The AI Visibility Score is a 0–100 composite metric that captures your brand's standing in AI search. It combines three dimensions: frequency (how often AI engines mention your brand when buyers ask relevant questions), accuracy (whether the facts engines state about you are correct), and favourability (how positively you're framed against alternatives).

    Marketing teams have a north-star metric for organic search (rankings), for paid (ROAS), and for email (conversion). AI search has lacked one — which is why AI visibility work stalls in most companies. The AI Visibility Score gives leadership a single trendline that answers "are we winning in AI search?" without needing to read hundreds of engine responses.

    The score is computed per engine, per topic, and per audience segment, then rolled up. That means when the number moves, you can immediately decompose why: which engine, which topic cluster, and which competitor took or lost ground.

    How the Score is Calculated

    1

    Run your buyer questions

    AirPulse continuously runs your tracked prompt library across the five major AI engines, capturing every response verbatim.

    2

    Score three dimensions

    Each response is evaluated for mention frequency and prominence, factual accuracy against your Brand Hub source of truth, and favourability versus the alternatives recommended.

    3

    Roll up and trend

    Dimension scores combine into one 0–100 score, decomposable by engine, topic, and segment — with movement tracked against every content and PR action you take.

    What You Can Do With It

    Executive-ready benchmark

    Report one number to leadership with full drill-down behind it — no more screenshots of ChatGPT answers in board decks.

    Competitor benchmarking

    See your score next to your top competitors' scores on the same question set, so 'winning' is defined relative to the brands buyers actually compare you against.

    Accuracy monitoring

    The accuracy dimension flags hallucinated pricing, outdated positioning, and wrong facts — the silent deal-killers in AI answers.

    Impact attribution

    Score movement is trended against your content and campaign timeline, so you can show which actions actually moved AI visibility.

    One Number, Full Depth

    3 dimensions
    Frequency, accuracy, and favourability in one composite
    0–100 scale
    Comparable across engines, topics, segments, and competitors
    5 engines
    Scored per engine so you know exactly where to focus

    Frequently Asked Questions

    What does the AI Visibility Score measure?

    It measures how often AI engines mention your brand on relevant buyer questions (frequency), whether what they say is correct (accuracy), and how positively you're framed against alternatives (favourability) — combined into a 0–100 composite.

    How is the score different from share of voice?

    Share of voice only counts how often you appear. The AI Visibility Score also weighs whether the mention is accurate and favourable — a brand that appears often but is described incorrectly or unfavourably scores lower.

    Can I compare my score against competitors?

    Yes. Competitor brands are scored on the same prompt set, so benchmarks reflect the exact questions where you compete for the recommendation.

    How quickly can I improve my AI Visibility Score?

    Teams typically see measurable movement within weeks of acting on AirPulse's content optimisation recommendations, since several AI engines retrieve live web content. Fully model-internal knowledge updates take longer, which the per-engine breakdown makes visible.

    Is the score comparable across industries?

    The score is designed for tracking your own trend and benchmarking within your competitive set. Cross-industry comparisons are less meaningful because question volume and competitive density differ by category.

    See AI Visibility Score in Action

    Book a personalised demo and see exactly how AI engines currently perceive your brand — and what you can do about it.

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