Closed-Loop Growth Agent

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Running igeo.ai 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.

/igeo-start — set up igeo.ai 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.