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.
Workspace Tour
Chatobserver is organized around a small set of product surfaces that build on each other.Overview
The overview surface is where teams sanity-check the health of a workspace. It combines setup reminders, high-level brand visibility signals, and AI referrals metrics so you can see whether data is flowing and whether the top-level trends are moving in the right direction.Prompts
Prompts are the core unit of work in Chatobserver. Each prompt defines:- the question to ask
- the platforms to run on
- the region to target
- the cadence for execution
- the grouping context for analysis
Runs
A prompt run is one execution of one prompt. Runs tell you whether a prompt executed successfully, when it started and finished, and whether the result has been analyzed. If prompts are the plan, runs are the operational record.Sources
The sources surface turns raw AI answers into something a team can analyze. It focuses on domains, citations, mentions, and prompt-level source activity so you can understand which publishers and brands are appearing across your tracked prompt set.Reports
Reports are the presentation layer. They let you build structured views of workspace data and share read-only snapshots with stakeholders who do not need direct workspace access.Settings
Settings covers the admin side of the workspace:- billing and usage
- team and access
- company and workspace preferences
- API keys and developer access
Suggested working rhythm
For most teams, the practical loop looks like this:- Refine prompts.
- Watch new runs land.
- Review the sources that appear.
- Turn the relevant slice into a report.
- Adjust prompt coverage and repeat.