$0B+
GTM revenue data the AI is trained on
0
AI workers live in production
0
channels covered end-to-end
+0
avg rank positions gained in 30 days
What we kept seeing
The plateau every agency hits.
The ceiling
Six clients, maybe seven, then quality drops
One operator can manage six client relationships at high quality. The seventh is the first one that suffers. Adding a hire to take the seventh costs more than the seventh client pays. The math never works.
The waste
Production work crowds out the work that wins
Strategists who started in the business to write and think end up coordinating writers, chasing ad approvals, and assembling reports. The thing the agency was hired for becomes the thing the agency stops doing.
The treadmill
Every client’s month starts over from zero
No system carries learning forward. What worked for client A last quarter is forgotten when client B asks the same question. The agency does not compound its own insight.
Why YG3 is the way it is
The platform we built ourselves a model for.
Trained on what worked
$1B+ of client GTM data
The AI was calibrated on the playbook that drove the revenue across a decade of campaigns. Not a public-web model fine-tuned later . the data is the founding edge.
Production first
The AI does the work that doesn’t need a human
Articles, ad variants, outbound first touches, dashboard updates. The decisions that need a human stay with the operator. The ones that don’t never reach them.
Intelligence Engine
Always on · per client
Research
Topics + competitors
Content
6-agent editorial team
Paid ads
Google Ads, optimized
LinkedIn
Voice-trained posts
Outbound
Warm-domain cold email
Attribution
Click to revenue, live
Principles
Five rules that shape every product decision.
1
Disclose the underlying tool.
Your client always knows YG3 is in the stack. White-label, not anonymous-label. Hiding the system always loses, naming it never does.
2
Build assets in the client’s name.
Subdomain, voice model, attribution, backlinks. All in their name, all exportable on a day’s notice. The agency owns the relationship, the client owns the artifacts.
3
Ship outcomes, not dashboards.
A dashboard that shows a number is not a dashboard that produced the number. We measure ourselves on rank lift, qualified meetings, and revenue traced through.
4
Decisions, not tasks.
The operator’s morning is a queue of yes-or-edit decisions. The platform never asks them to type something it could have drafted.
5
Every cycle teaches the next one.
No client’s month starts from zero. Each outcome (click, reply, ranking, conversion) refines the next decision. The system compounds.
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