Three Hires in a Box. One Machine. You Own It.
AI Premium is one senior operator installing and running the full growth machine: paid acquisition, attribution, GEO citations, content pipeline, and exec-ready reporting. $12,000/month, 6-month minimum. Want one person to own the whole growth number? The Hybrid extension adds full Operator accountability at $12,000-$20,000/month. No fragmented vendors. No assembling another team. One accountability point for marketing contribution to revenue across every channel. The machine is fully documented and yours when the engagement ends.
Most companies at this stage try to solve growth by assembling a team: a Paid Manager at $80-100K, a Content Ops Lead at $60-80K, a GEO specialist at $60-90K. Three vendors with no shared attribution layer and nobody who owns the whole revenue number. When any one of them leaves, institutional knowledge goes with them.
AI Premium is one senior operator who owns all of it: paid, GEO, content pipeline, attribution, and exec decisions. Total cost over six months: $72,000 base; with Operator accountability layer, $72,000-$120,000 depending on scope. At the end, you own a documented stack with runbooks your team drives without the builder on call. The fragmented team does not produce that asset. AI Premium does.
$12,000/month base. Hybrid with Operator: $12,000-$20,000/month. 6-month minimum.
Not sure which tier fits? Compare all AI Growth Systems options or start with the $3,000 AI Marketing Audit.
Six systems. Each one running by month 6.
Paid acquisition management
Google Ads and Meta Ads run with attribution-first discipline from day one. No scaling budget without a clean conversion path. Campaign structure aligned to CRM pipeline stages, not platform vanity metrics. CAC and payback tracked in real time against the Growth Command Center.
GEO and AI citation engine
Multi-LLM monitoring (ChatGPT, Perplexity, Gemini, Google AI Overviews, Bing Copilot) for brand and product mentions. Schema expansion, llms.txt, structured citability program for money pages. Citation share tracked as a KPI alongside organic and paid. Weekly citation review cadence.
AI content pipeline
Research-to-publish system with quality gates at every step: topic intelligence, brief generation, LLM draft, anti-slop editorial review, GEO optimization, and publish cadence. Your content lead approves and publishes; the machine does the research, draft, and first-pass quality check.
Growth Command Center
Real-time dashboard: spend, CAC, funnel conversion, channel quality, and anomaly detection. Telegram alerts when CAC spikes, ROAS drops, or conversion rate falls below threshold. One view your CEO and CFO can trust. All data sourced from verified attribution, not platform self-reporting.
Attribution OS
Full server-side tracking stack: CAPI for Meta, server-side GTM for Google, CRM event mapping, cohort payback models, and finance-ready revenue attribution. The output is a single number: marketing contribution to revenue, verified across GA4, CRM, and payment processor. No three spreadsheets with different answers.
Exec cadence and board-ready metrics
Bi-weekly 60-minute strategy calls with prepared briefs: current performance, anomalies, decisions needed, and next sprint. Monthly board-ready metrics package: CAC, payback period, channel quality, and pipeline contribution. Automated briefing runs itself; you review and approve.
One operator. One machine covering paid acquisition, attribution, GEO, content, and exec reporting. Full growth-number ownership lives in the Hybrid extension. Either way: no assembling a fragmented team.
$100M+ managed. Three companies where the system outlived the engagement.
Who Premium is built for. And who should start with Foundation instead.
Right fit for Premium
B2B SaaS with $50K+ per month in acquisition spend and no clean attribution layer yet
Companies replacing an agency and wanting a fully owned machine, not a new retainer
Post-Series A teams with a revenue number to hit this quarter and no time for a 6-month measurement ramp
CEOs who need a CFO-level answer on paid spend and do not have one today
Teams where paid, content, and GEO are three separate vendors with no coordinated number
IL cyber and SaaS companies post-Series A with a growth number to hit and no time to hire and ramp a full team
Start with Foundation instead if
You manage paid in-house and need the infrastructure layer more than account management: Foundation at $7,500/mo ships that
Budget is below $30K/month in acquisition: Premium is better deployed when paid is already meaningful in scale
You want to start with a diagnostic before committing to a 6-month engagement: the $3,000 AI Audit is the right first step
Premium versus the market alternatives at this budget level
| Option | Monthly cost | What you own after 6 months |
|---|---|---|
| AI Premium | $12,000 | 6 installed systems, full documentation, owner training. Machine runs without the builder. |
| Full-time Head of Growth | $16-25K loaded | One person. System lives in their head. 6-month ramp. Severance risk. |
| Agency ($12-20K/mo) | $12,000-20,000 | Their access. Nothing. Stops when you stop paying. |
| 3 separate freelancers (paid + content + GEO) | $8,000-18,000 | Three uncoordinated workstreams. No shared attribution layer. Nobody owns the number. |
| AI engineer without GTM experience | $10,000-20,000 | A stack with no revenue judgment. No paid account management. No GEO citations. No growth machine. |
What the first 90 days look like
Attribution OS and paid baseline
Server-side tracking deployed. GA4 and CAPI verified. CRM pipeline mapped to campaign stages. First clean conversion paths confirmed. Paid accounts restructured around attribution-first discipline, not platform vanity. GEO audit complete.
Content pipeline and dashboards live
AI content pipeline producing first approved pieces. Growth Command Center live with real data. First Telegram anomaly alert fired on real signal. GEO citations program running: structured data, llms.txt, first submission set.
Optimization loop running and exec cadence established
Paid accounts optimizing on clean data for the first time. CAC and payback visible in the dashboard. First bi-weekly exec brief automated and reviewed. Content pipeline at full cadence. Board-ready metrics package drafted for month 3 close.
Questions on AI Premium
What does "3 hires in a box" actually mean?
A Paid Manager at $80-100K, a Content Ops Lead at $60-80K, and a GEO/SEO specialist at $60-90K runs $200-270K in annual salaries before equity, ramp costs, or severance. Premium is one operator who runs all three functions for $144,000 over six months and installs the machine so your team can run it without me. The three hires do not produce that documented, transferable asset. AI Premium does.
What is the difference between Foundation and Premium?
Foundation installs the infrastructure: measurement, automation, content pipeline, dashboards, and GEO layer. Your team runs paid. Premium adds full paid account management (I own the ad accounts), the active GEO citation monitoring program, and the exec reporting cadence. If you do not need paid managed hands-on, Foundation at $7,500/month delivers the infrastructure layer.
What does owner training look like in month 6?
Month 6 is a transition month. Two weeks of parallel operation: your team drives, I co-pilot. Full documentation package: runbooks for every system, SOPs for the content pipeline, architecture diagrams for the attribution stack, and a contact point if something breaks post-engagement. The machine runs standalone for two weeks before the engagement closes. I will not hand over a system I am not confident your team can run.
What data access do you need?
Read and write on: Google Ads, Meta Ads, GA4, your CRM. Read on: Stripe or your payment processor for cohort payback models. I do not need direct database access. Server-side tracking goes through n8n API calls with write access scoped to event endpoints only. All access is documented and can be revoked in one step at the end of the engagement.
Can I run Premium without paid ads?
Yes, but you lose component 01. The other five: GEO engine, content pipeline, Growth Command Center, Attribution OS, and exec cadence are fully standalone. Price remains $12,000/month. If paid is starting from zero, the AI Marketing Audit is the better first step to establish whether paid is the right channel before building around it.
How many Premium clients do you take at once?
One, sometimes two if the scope does not overlap significantly. Premium requires genuine operational involvement in your paid accounts and content. More than two in parallel means the involvement becomes advisory, which is a different product at a different price. Current availability is in the contact form.
Where Premium sits in the AI Growth Systems ladder
Book a Premium Call
30 minutes to confirm fit, budget alignment, and access requirements. If Premium is right, we start with attribution and paid baseline in week one. If Foundation fits better, I will say so.