We are not an AI agency.
We are the outcome layer for AI recommendations.
You pay when the AI names you. Everything else is our problem.
The problem with "AI agencies"
Most are agencies that happen to use AI.
A lot of founders want to build AI-native marketing companies. But most are still carrying the baggage of traditional agencies:
- ·Retainers that don't map to any measurable result.
- ·Pricing models built on people-hours, not software leverage.
- ·Delivery that depends on account managers, not systems.
- ·Margins that barely improve, even when AI does 80% of the work.
- ·Long onboarding, constant hand-holding, decks instead of dashboards.
"AI-native was never about adding AI to an agency. It's about redesigning the business model around what AI makes possible."
The redesign
The old agency stack, rebuilt around what AI actually makes possible.
Old agency stack
LinkinGrow stack
The one commitment
"You pay nothing until the answer names you.
Every month. Per question. Per engine."
The build phase runs up to ninety days at no charge. Verified months bill at $5,000. If a campaign never triggers, you owe nothing and can keep what we built for $1,000 per ten articles. Nothing is pulled mid-campaign. Earned press is never revoked.
Where the AI value actually flows to you
Three places software beats a team of humans , and you keep the margin.
Graph mapping at machine scale
Thousands of sources analyzed per question, re-mapped weekly as models drift. A human team can map dozens , and only once.
Evidence expansion at machine cost
AI drafts 80%; editors do the 20% that keeps everything truthful, bylined, and disclosed. You get agency-quality assets without agency pricing , backed by the refund rule.
Verification at machine frequency
Thousands of sampled runs per month across every engine, timestamped and log-attached. No human could re-run this. The log is the report.
Operating model
No AMs. No custom SOWs. No pitch decks.
The free Snapshot is the pitch. The software loop is the delivery. The log is the report. Margin comes from graph reuse across clients, not from renegotiating scope.
Things we refuse to sell
The shortcuts we've turned down , on purpose.
×Guaranteed rankings , anyone promising them is guessing.
×Fake reviews, bots, bought engagement.
×Hourly work or 'strategy retainers.'
×Credit for questions you already rank for (baseline-protected).
×Custom PDF reports , the logs are the report.
×Long onboarding to justify a fee.
"You pay when the AI names you. Everything else is our problem."
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