# Understanding chats

> How to read individual AI responses-the raw material behind visibility, sources, and competitive views.

Canonical URL: https://app.igeo.ai/docs/understanding-chats

## Overview

Each chat here means one stored AI response to a prompt your workspace monitors — the atomic unit behind mentions, visibility, sources, and competitive views. Reading a single response carefully explains what the dashboards are aggregating over time.

Use Mentions (and recent-answer cards on the dashboard when shown) to open prompts, scan the response list, then open a row for the full breakdown.

## Anatomy of a response

The detail drawer pairs your user prompt with the model's answer. Above the body, a metadata strip summarizes that run:

- Provider: which surface produced the answer (for example ChatGPT, Gemini, Claude, Perplexity) — shown with the model's icon.
- Model: the specific model identifier for that run.
- Sentiment: how the answer talks about your brand when scored for that response.
- Visibility score: a radial chart summarizing visibility for that answer.
- Sources preview: favicons for URLs associated with the run (more load in the body or via load-more when the full list is longer than the first page).

## Regions

Prompts run in the regions you configure for your workspace; each stored response carries a region when present. Geography matters for comparability — compare runs that use the same prompt and region when you judge wording or sourcing differences.

## Main answer and brands

The body renders the model's text with markdown-style structure (headings, bullets, paragraphs, inline links). When structured brand data exists for the run, you also see ranked companies with short reasons — useful for seeing how the model ordered players in that specific answer, which feeds ideas about position at the aggregate level.

## Sources and links in the text

A response may include URLs inline in the narrative and a broader set of URLs attached to the run. Inline links reflect what readers see in the prose; the full source list can be longer or paginated — use Load more sources when available so you review everything the run captured, not only what appears in the excerpt.

Model behavior varies by provider: some runs surface many sidebar sources but fewer explicit in-text citations. Track trends across weeks rather than fixating on a single volatile day.

## Related documentation

Move from single responses to workspace-level metrics:

Visibility

How often your brand appears in AI answers to the prompts you monitor.

Sources

Domains and URLs tied to how models answer your prompts.

Sidebar navigation

Where Mentions, Prompts, and Sources live in the app.

Mentions

Open the workspace view where you browse responses by prompt.