Features
    Buyer conversations

    Buyer conversations

    Follow the complete buying journey and discover which brand the assistant chooses at the end — not only the one it mentions first.

    mentionscore.app/app/buyer-conversations
    Example data
    NNikeBuyer conversations
    Buyer
    I'm starting to run. Which shoes would you recommend?
    AI
    ASICS offers several supportive options that work well for new runners.
    ASICS
    Buyer
    Is there a more affordable option?
    AI
    Kiprun is worth considering if keeping the price down is important.
    Kiprun
    Buyer
    What about returns if the fit is wrong?
    AI
    Given that concern, buying from Decathlon would be the most practical choice.
    DecathlonFinal choice
    2
    assistants compared
    Same
    buyer for both
    Full
    conversation available
    Exact
    evidence for every finding
    Visualization

    How one recommendation changed

    Illustrative view based on a real conversation about running shoes

    Illustrative data

    First answerBudget objectionFinal decision0%25%50%75%100%
    • ASICS
    • Kiprun
    • Decathlon
    How it works

    From an answer to information you can interpret

    01

    Describe the buyer

    Add what they want to buy, who they are, their country and their language.

    02

    Let the decision develop

    The buyer asks follow-up questions, raises concerns and compares alternatives with ChatGPT and Gemini.

    03

    See who wins

    Compare appearances, recommendations and the final choice, with the complete conversation as evidence.

    Evidence

    Every metric, with the exact line behind it

    ChatGPTFirst suggestion
    "ASICS offers several supportive options that work well for new runners."
    Question: Which shoes would suit someone starting to run?
    ChatGPTAfter objection
    "Kiprun is worth considering if keeping the price down is important."
    Question: Is there a more affordable option?
    ChatGPTFinal choice
    "Given that concern, buying from Decathlon would be the most practical choice."
    Question: What about returns if the fit is wrong?

    The recommendation can change before the decision

    A single question shows the first answer. A real purchase, however, usually involves follow-up questions, doubts, budget limits and comparisons. The recommendation can change several times along the way.

    Buyer conversations creates simulated buyers who talk to ChatGPT and Gemini like a real person would: they explain what they need, raise objections and refine their decision. The report shows whether your brand appears, whether it is recommended and which brand each assistant chooses at the end.

    From the first suggestion to the final choice

    In a conversation about running shoes for a beginner, ChatGPT started by recommending ASICS. When the buyer explained that they were over budget, the recommendation moved to Kiprun. After a question about returns, the final choice was to buy from Decathlon.

    Reading only the first answer would have produced ASICS as the result. The complete conversation showed who came closest to winning the sale.

    What you can discover

    • Whether you appear without being named. Buyers start without knowing your brand, so every appearance happens naturally.
    • Whether you are recommended. Separate simple presence from being an option the assistant advises someone to buy.
    • Who wins the final decision. See which brand the assistant chooses when the buyer is ready to decide.
    • Who appears instead of you. Discover other brands even when they were not on your initial list.
    • What the assistant values and criticizes. Every conclusion keeps the assistant's exact words.
    • Which sources influence the answer. See which websites are consulted and linked, and whether yours is among them.
    • How the result changes by assistant. The same buyers talk to ChatGPT and Gemini, making the comparison like for like.

    A comparison under the same conditions

    You describe what your customer wants to buy, who they are, the country and the language. MentionScore creates the buyers and gives both assistants the same starting point. This lets you compare their answers without giving one conversation an advantage.

    Every figure is supported by the conversation that produced it. You can read the complete exchange and see the exact line behind an appearance, criticism or final recommendation.

    Information that leads to action

    The result does not end with a score. It can uncover a website where you should appear, a criticism worth addressing, a missing page on your site or a brand winning decisions before it was even on your radar.

    By repeating the analysis with comparable buyers, you can see whether your team's actions change recommendations and decisions over time.

    Why it matters

    Built to make every result easier to understand

    It measures the decision

    A first mention does not reveal which option survives the buyer's doubts and objections.

    It uncovers unexpected alternatives

    See brands the assistants introduce even when they were not on your initial list.

    It turns findings into action

    Identify influential websites, repeated criticism and missing information that could change the next decision.

    Frequently asked

    Do buyers already know my brand?+

    No. The brand is not given to them, so an appearance or recommendation happens naturally during the conversation.

    Are ChatGPT and Gemini compared fairly?+

    Yes. Both receive the same buyer and starting question, in the same country and language.

    Can I read the whole conversation?+

    Yes. The full exchange remains available, including the exact words behind each finding.

    Find out what AI says about your brand

    Start by reviewing the questions MentionScore prepares for you.