Predictable, profitable acquisition with a tight read on the competitive field.

Illustrative targets — once hired, the team runs this scoreboard on your own numbers.

Tools are optional — the skill is built in

Hugo brings the competency. Connect your tools to point it at your data — pick one per need, add power-ups any time. Nothing here is required to start.

What it owns

Questions about the AI Growth Team

What is an AI growth team?

An AI growth team is a set of AI employees running paid acquisition, creative testing, competitive intelligence, and budget diagnosis on a recurring schedule. The team manages ad channels (Meta, Google, TikTok), tests creative variants, reads competitor moves, and gives the founder a weekly spend recommendation — without requiring manual dashboard checks or an in-house performance marketer.

What does an AI growth team do each week?

In a normal week, an AI growth team handles: rebalancing the paid budget across channels, launching new ad creative variants, reading ROAS and killing underperformers, scanning competitor ad libraries, tuning campaign targeting, and compiling a weekly budget recommendation. The team diagnoses every dollar of spend and surfaces where to push and where to cut before you ask.

Can AI manage paid advertising campaigns autonomously?

For analysis, creative testing, and budget rebalancing — yes. An AI growth team can monitor daily pacing, kill losing ad sets, refresh audience segments, and route budget to winning channels without manual intervention. What stays human: major budget calls above a set threshold, creative direction for brand-defining campaigns, and vendor negotiations. The AI team handles the operational execution; the founder approves the big moves.

What tools does an AI growth team use?

An AI growth team connects to the ad platforms you already run — Meta Ads Manager, Google Ads, TikTok Ads — plus attribution tools and competitor ad libraries. It reads spend, performance, and audience data directly from those platforms and writes recommendations back to your review queue. No new dashboards to manage: the team reads the data, surfaces what matters, and tells you what to do next.