Docs

Popcorn asks AI assistants the questions your buyers ask, grades whether each answer recommends you, and builds a ranked list of fixes. These pages cover running it, configuring it for your brand, reading what it finds, and deploying it.

1. Getting started
   Run Popcorn locally against the example config, then point it at your own.
2. Configuration
   popcorn.toml, the file that says whose brand Popcorn measures, with which assistants, and how much it may spend.
3. Prompt sets
   The buyer questions Popcorn asks, as TOML files in your config repo, with ids that keep their history.
4. Reading results
   Verdicts, tracks, share of voice, rankings, fix lists and quick wins.
5. Deploying
   Docker, Kubernetes with the Helm chart, or an exe.dev VM.
6. Upgrading
   Popcorn keeps your history across upgrades.
7. CLI, API and MCP
   Every command, JSON route and MCP tool, and how access works.