Features
    Sentiment

    Being mentioned is not the same as being recommended

    Being mentioned is not the same as being recommended.

    mentionscore.app/app/general
    Example data
    NNikeReputation
    ChatGPTPositive

    «The Pegasus is a safe bet for everyday training.»

    AI OverviewNeutral

    «Nike is one of the best-known brands in running.»

    GeminiNegative

    «Some users say Nike sizes run small.»

    82
    sentiment score /100
    +14
    vs last month
    63%
    of mentions are recommendations
    5%
    negative context
    Visualization

    Sentiment trend

    Daily sentiment score across all answers

    Illustrative data

    D1D2D3D4D5D6D7D8D9D10D11D12D13D14020406080
    • ChatGPT
    • Gemini
    How it works

    From an answer to information you can interpret

    01

    Score every mention

    Each appearance is rated from positive to negative on a calibrated scale.

    02

    Tag the context

    Recommendation, comparison, explanation, passing mention — context matters.

    03

    Track the curve

    See sentiment recover after a fix, or dip before it becomes a real problem.

    Evidence

    Every metric, with the exact line behind it

    ChatGPTRecommendation
    "I'd actively recommend X for enterprise — their SLA, SSO and audit log are best-in-class."
    Question: is X good for enterprise?
    GeminiCaveat
    "Some users report a steep learning curve in the first week."
    Question: X review
    ChatGPTComparison
    "If you need something cheaper, look at Y or Z; X stays the premium option."
    Question: alternatives to X

    Review how AI describes your brand across monitored answers, not only whether the name appears.

    What you can see

    Each relevant mention receives a sentiment reading and keeps the surrounding text available for review. Repeated text within one answer is not counted twice.

    How to use it

    Sentiment helps distinguish praise, neutral description, caveats and criticism. It is an interpretation of the monitored text, not a forecast of revenue.

    Evidence stays available

    Open the relevant monitored answer whenever you need to verify a result or understand its context.

    Why it matters

    Built to make every result easier to understand

    Repeated text counted once

    The same sentence never inflates your score twice.

    Context, not just polarity

    A neutral recommendation is worth more than a positive passing mention.

    Every score is auditable

    Click any number and read the words the model used.

    Frequently asked

    What scale do you use?+

    0 to 100, calculated from the positive, neutral and negative language detected in monitored answers.

    How is sentiment different from Brand Sentiment Analysis?+

    Sentiment runs continuously; Brand Sentiment Analysis is an on-demand deep audit.

    Find out what AI says about your brand

    Start by reviewing the questions MentionScore prepares for you.