Closed-Loop Growth Agent
Run your AI visibility projects end-to-end with a nine-skill agent.
ChatBakers 
Claude What this workflow does
Running ChatBakers for one brand is a project. Running it for several, week after week, becomes a job, and the lessons from one engagement rarely make it to the next.
This packages the whole loop into a single agent: competitor discovery from real AI chats and forum threads, funnel-spread prompts across awareness, consideration, decision, and retention, a clean tag and topic taxonomy, a weekly health check that ranks improvements, and the single highest-leverage next move with a measurable four-week metric.
Patterns persist across projects, so the next brand starts smarter than the last one. The agent compounds knowledge instead of restarting from zero.
Example prompt
ChatBakers MCP connected ❯ Set up ChatBakers for our brand. Discover competitors from real AI chats, mine forum pain points, design funnel-spread prompts across Awareness → Consideration → Decision → Retention, and build a clean topic and tag taxonomy. Then run a weekly health check, surface the highest-leverage next move, and persist what we learn so the next project starts smarter.
Related use cases
Outreach to Citation Gap Pages
Surfaces pages that cite competitors but not you, scrapes the contact, and launches personalised outreach.
Find Prompts You're Losing
Ranked table of every prompt a named competitor is winning.
Search Console to Prompt Discovery
Turn high-potential Search Console queries into ChatBakers prompts.