Documentation Index
Fetch the complete documentation index at: https://chatobserver.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Sources
The sources surface is where raw AI answers become something a team can analyze at scale.What sources capture
Chatobserver normalizes citations from prompt runs into source records so you can inspect:- cited domains
- URLs
- mention counts
- citation counts
- prompt-level source activity
- daily rollups across the current window
Main ways to use the sources view
Teams usually use sources to answer three questions:- Which domains are showing up most often?
- Which prompts are driving those mentions?
- How is that changing over time?
Core views
The sources experience is built around a few high-value slices:- top domains across the current filters
- daily mentions by domain
- overview metrics for the selected window
- prompt-run level source activity
Filters that matter
The most important filters are:- prompt
- domain
- lookback window
- metric
- row count or page size
Interpreting the metrics
Two teams can look at the same sources table and ask different questions:- a marketing team may care most about share of mentions and top cited domains
- a content or communications team may care most about which URLs and excerpts are appearing
Exporting source data
Sources can be exported as CSV for offline analysis, stakeholder delivery, or downstream processing. Export is most useful once you have already narrowed the slice you care about.Practical advice
Do not treat one high-citation domain as the whole story. Use sources together with prompts and runs so you understand:- which questions produced the citations
- whether the results are stable or temporary
- whether the same domains appear across multiple prompts or only one narrow case