637: The AI Automation Stack Behind The Fastest Growing Ecommerce Brands With Leo Sgovio

In this episode Leo Segovia reveals how his AI automation stack transforms influencer outreach. By feeding 114 data points into custom bots, his system scores creators on relevance, audience fit, and commission potential before sending personalized DMs or emails. This precision reduces spam, boosts response rates, and scales outreach from a few hundred messages to tens of thousands as brands hit revenue milestones. The approach blends API scraping with proprietary AI filters, ensuring only creators who match product demographics receive invitations, dramatically improving conversion efficiency for e‑commerce sellers.

Segovia also demonstrates AI’s power in ad creation and product launch. Using a chain of generative tools, he clones high‑performing competitor ads, rewrites copy, and produces video creatives that mimic viral hooks. The AI analyzer scans TikTok and Instagram trends, extracts successful scripts, and auto‑generates localized versions—like translating English winners into Spanish—allowing brands to flood the market with proven ad formats. This methodology helped his team sell 5,000 units before Christmas without traditional PPC or giveaways, proving that AI‑driven content can replace costly ad spend while maintaining rapid sales velocity.

Finally, the conversation emphasizes a multi‑channel launch strategy. Combining TikTok Shop’s discovery engine with Amazon’s established marketplace creates a halo effect that amplifies visibility and profitability. Leo advises sellers to unlock messaging thresholds—$2,000 GMV for 2,000 messages, scaling to 50,000—to access a broader creator pool. By synchronizing AI‑enhanced outreach, automated ad cloning, and dual‑platform distribution, e‑commerce brands can achieve exponential growth, turning modest inventory into tens of thousands of units sold in a single quarter.