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The Conversations explorer lets you browse the actual prompts and the answers each AI model gave. Every score in 3RD — visibility, sentiment, position — is an aggregate of these individual answers. When a number moves and you want to know why, this is where you look.

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What you can see per answer

For any AI response, Conversations shows:
ElementWhat it tells you
Mention statusWhether your brand appeared in the answer
SentimentHow you were described, with the driving language identifiable
PositionWhere you landed in the answer’s ranked list
CompetitorsWhich other brands appeared alongside you
CitationsEvery source the model used to build the answer
You can switch between models to compare how ChatGPT, Gemini, Perplexity, and others answered the same prompt — often very differently.

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How to use it

Filter Conversations to the prompt/model/market where the change happened and read the answers. Did a competitor start appearing? Did a new source get cited? Did the framing change? The aggregate tells you that something changed; the conversations tell you what.
Open the negative-sentiment answers and find the recurring theme — an outdated pricing claim, a support complaint from a review site, a missing feature. That theme is your fix.
Read the answers where they’re recommended and you’re not. Check which sources the model cited — those sources are your outreach targets.
Make reading a handful of conversations part of your weekly routine. The metrics compress reality; the answers are reality.