AI Revenue System · Onboarding
Live AI Revenue Infrastructure in under 7 days.
The AI-native onboarding system for SalesMarketing.ai. Minimal human intervention, maximum automation — most customers ship without a single engineering ticket.
80%
Executed by AI
48h
AI audit delivery
5
Onboarding steps
Operating Model
Hybrid system. AI-led, human-supervised.
The onboarding is executed by AI systems with a lightweight ops layer for approval and exceptions.
AI systems
- LLM orchestration engine (Yi / GPT / Claude routing)
- Automated AI audit generator
- Product + industry analysis engine
- Competitor intelligence scraper
- Recommendation system builder
Human layer
- Onboarding manager (approves setup)
- Implementation engineer (only for integrations)
- Account strategist (optional, enterprise)
Most customers do not need engineering support.
Onboarding
The 5-step SaaS flow
From signup to live AI revenue infrastructure — fully orchestrated.
Choose your plan
Default entry point — AI Revenue System · $499/mo:
- • Core LLM routing engine
- • AI sales recommendation layer
- • Onboarding automation
Scale up: $1,499 multi-property · $4,999 enterprise stack · Custom for ecosystems.
Tell us about you
Customer submits:
- • Company name & website
- • Industry · target customers
- • Competitors · revenue goals
→ AI builds a business intelligence profile: positioning, intent categories, product mapping, AI visibility baseline.
Secure subscription
- • PayPal / Stripe checkout
- • Monthly billing, cancel anytime
- • Instant provisioning trigger
Payment confirmed ↓ Provision AI workspace ↓ Initialize LLM pipeline
AI audit · 48h delivery
Fully AI-generated. Includes:
- • Visibility across ChatGPT / Gemini / Claude / Perplexity
- • Competitor AI ranking analysis
- • Missed recommendation opportunities
- • Conversion optimisation gaps
- • Structured action plan
Delivered as PDF · live dashboard · API insights
Launch AI Revenue Infrastructure
Activation step. System deploys:
- • LLM routing engine
- • Product recommendation graph
- • Sales copy generator
- • Conversion optimisation layer
→ Customer becomes an AI-recommended brand inside LLM ecosystems.
Backend
Workflow architecture
Every signup flows through the same deterministic pipeline.
Customer Signup
↓
Data Ingestion Layer
↓
AI Profile Builder
↓
LLM Audit Engine
↓
Recommendation Graph Builder
↓
Deployment Orchestrator
↓
Live AI Revenue SystemCore Systems
Four engines, one revenue stack
The deployed infrastructure customers operate on after onboarding.
01
AI Profile Engine
Builds structured company understanding · maps products to intent clusters.
02
LLM Audit System
Evaluates AI visibility · simulates AI queries across models.
03
Recommendation Graph
Connects products → intents → conversions.
04
Revenue Optimizer
Improves messaging · increases conversion probability.
Revenue
Four monetisation layers per customer
Each onboarding compounds across recurring, performance, and usage revenue.
01
Subscription
$499–$4,999/mo
Recurring core plans + custom enterprise
02
Setup fee
Premium tier
Onboarding + audit (optional)
03
Performance
% of uplift
Share of conversion lift
04
API usage
Per-call
LLM + recommendation queries
Final Outcome
They are no longer using marketing tools.
They are inside an AI decision system.
Traditional onboarding sets up software. This onboarding sets up AI-driven revenue generation infrastructure.
- AI visibility report
- Structured product intelligence layer
- Active LLM routing system
- Live recommendation engine