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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: 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Open the negative-sentiment answers and find the recurring theme — an outdated pricing claim, a support complaint from a review site, a missing feature.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.