All workMarketing Efficiency

AI Outreach Automation

Outreach & Crawler for FRM

AI Brand Discovery & Outreach
FRM is a Melbourne talent agency. We built them an AI outreach engine that finds fashion brands, matches each one to the right models, and drafts a personalised pitch — a tailored email and a PDF comp card — for the team to review and send.
ClientFRM
IndustryTalent & modelling
BuildCustom web app
ServiceMarketing Efficiency
Outreach & Crawler for FRM — AI brand discovery and outreach engine
The Problem

Cold outreach that couldn't scale.

FRM's growth ran on pitching fashion brands — but doing it by hand ate whole days, and off-the-shelf tools know nothing about models or comp cards.

  • Finding brands worth pitching meant hours of manual research.
  • Every pitch needed a comp card built by hand and an email written from scratch.
  • Matching the right model to each brand's aesthetic was guesswork under time pressure.
  • Outreach trickled out inconsistently, with no view of what was actually landing.
  • Generic outreach tools don't understand models, comp cards or brand fit.
The Workflow

AI does the legwork. A human sends.

7 stages
Discovery to send
AI handles the research, matching and drafting — but a person approves every single send. No brand ever gets an email FRM hasn't signed off on.
What It Does

The pipeline, step by step.

1

Discover brands

Fashion brands flow into a cold pool to work from — ready to be analysed and pitched.

2

Analyse the fit

Claude reads each brand's website and works out its aesthetic, audience and the kind of model it books.

3

Match models

For each campaign, Claude pairs brands with the right models from FRM's roster by aesthetic and suitability.

4

Draft the pitch

Claude writes a personalised email for every match, and the renderer builds a bespoke PDF comp card with the model's stats and portfolio.

5

Review

Every draft lands in a review queue where the team edits, approves or rejects — nothing sends unreviewed.

6

Send & track

Approved pitches go out through Klaviyo with the comp card attached, and the dashboard tracks brands, sends and reply rate.

The Results

What changed.

Hours → minutes
Research, comp cards & drafting per campaign
Every pitch
Personalised — email + comp card per brand
100%
Human-reviewed before anything sends
Built Right

Fast, but never on autopilot.

A human on every send

AI drafts; a person at FRM approves. Nothing reaches a brand without being reviewed first — reputation stays protected.

Personalised, not spun

Each pitch is written for the brand's actual aesthetic and the matched model — with a real comp card, not a mail-merge.

Their data, their stack

Runs on FRM's own Supabase — brands, models, drafts and sends all in one place they own, no per-seat outreach tool.

Built to grow

Ready to bolt on automated brand discovery (Apollo/Apify) and higher-fidelity comp cards as the volume climbs.

The Stack

What we built it with.

Next.js TypeScript Supabase Claude API n8n Express pdf-lib Klaviyo
In Their Words

What the client said.

“We were losing whole days to brand research, comp cards and writing pitches one at a time. Now the system finds the brands, matches the right models and drafts the entire pitch — comp card and all. We just review and send. It's turned outreach from a job nobody had time for into something that actually runs.”
Client name FRM

Want something like this built?

A couple of lines is enough. You’ll hear back from Aidan directly, usually within a business day.

  • Founder-built — you deal directly with Aidan, not a sales team.
  • A straight answer on whether it's worth building, and what it'd cost.
  • You own everything we ship. No lock-ins, no per-seat fees.
Aidan Lambert, founder of Better Automations
FOUNDER
Aidan Lambert
Talk directly with the founder — not a sales team.