Features
    Topics

    Understand the themes AI connects with your brand

    Every theme AI attaches to your brand, with its polarity and trend.

    mentionscore.app/app/general
    Example data
    NNikeTopics
    PositiveNeutralNegative
    Cushioning72%
    Design80%
    Durability48%
    Fit and sizing40%
    Price35%
    Gemini

    «The Pegasus stands out for its cushioning, although some runners note the price has gone up.»

    42
    themes tracked
    68%
    positive polarity
    7
    topics trending up
    3
    topics turning negative
    Visualization

    Topic polarity mix

    How models frame your brand across the top themes (last 30 days)

    Illustrative data

    PricingOnboardingSupportIntegrationsReliabilityReporting0%25%50%75%100%
    • Positive
    • Neutral
    • Negative
    How it works

    From an answer to information you can interpret

    01

    Extract themes

    We read every answer and surface the topics the model frames you around.

    02

    Score polarity

    Each topic is tagged positive, neutral or negative with the verbatim sentence behind the call.

    03

    Watch the trend

    See which themes lift your brand and which need closer review.

    Evidence

    Every metric, with the exact line behind it

    ChatGPTOnboarding
    "Their onboarding is famously frictionless — most teams are live in under an hour."
    Question: best onboarding for B2B SaaS
    GeminiPricing
    "Pricing skews premium and can feel steep for solo founders, though larger teams see strong ROI."
    Question: is X expensive?
    ChatGPTSupport
    "Customer support is consistently called out as a differentiator."
    Question: X vs competitor support

    Move beyond one overall score and inspect the subjects that shape each description.

    What you can see

    MentionScore extracts recurring topics, groups close variants and labels the surrounding language as positive, neutral or negative.

    How to use it

    Every topic can be reviewed alongside the answer that produced it, helping you separate a recurring pattern from an isolated mention.

    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

    No vague sentiment score

    Polarity is grounded in actual topics, not an opaque verdict.

    Backed by quotes

    Every topic links to the exact sentence the model produced.

    Built for content briefs

    Export topics with evidence straight into your next brief or PR push.

    Frequently asked

    How are topics extracted?+

    An LLM layer reads each answer and clusters mentions into stable themes, deduplicated across models and prompts.

    Can I add my own topics?+

    Yes. You can pin topics you want monitored explicitly, or let detection run automatically.

    Find out what AI says about your brand

    Start by reviewing the questions MentionScore prepares for you.