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Introduction

Chatobserver is an AI search analytics platform for marketing, CX, and growth teams. You define the prompts that matter to your business, run them on a recurring cadence across AI assistants, and review the answers, citations, and visibility trends in one workspace.

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What the platform is built for

Chatobserver is designed for teams that need to answer questions like:
  • How often does our brand appear in AI answers?
  • Which domains are cited most often for our category?
  • Which competitors are showing up more often than we are?
  • How are those trends changing over time?

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Core workflow

  1. Create prompts that reflect the questions your audience asks.
  2. Choose platforms, regions, and schedules for those prompts.
  3. Let Chatobserver run those prompts on a recurring cadence.
  4. Review prompt runs, extracted sources, and brand visibility trends.
  5. Share the output internally through reports and exports.

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What you will find in these docs

  • Quickstart: Get a workspace live with the minimum setup.
  • Workspace tour: Understand the main product surfaces.
  • Prompts: Learn how prompts, schedules, groups, and personas fit together.
  • Runs: Understand execution status, analysis state, and troubleshooting.
  • Sources: See how citations, domains, and mention trends are organized.
  • Reports: Build and share stakeholder-friendly views of your data.
  • API overview: Connect Chatobserver data to your own workflows.
If you are setting up a new workspace:
  1. Start with Quickstart.
  2. Create a small prompt set before scaling volume.
  3. Review your first runs and sources before inviting a wider team.
  4. Add API access once you know which data you want to automate.