AI-Powered Marketing Systems That Replace 3 Full-Time Hires
I don't just use AI tools. I build AI marketing systems. n8n workflows that run your marketing ops 24/7. Claude Code pipelines that generate, optimize, and deploy at scale. AI agents that monitor, flag, and fix before you wake up.
Most marketing consultants use ChatGPT to write blog posts and call it "AI marketing." That is not what this page is about.
This is about building custom AI infrastructure that runs your marketing operations: automated pipelines, intelligent agents, real-time dashboards, and systems that compound without adding headcount. The same stack Yaniv runs daily: Claude Code as the primary operator, n8n as the automation backbone, PostgreSQL for data, and a 40+ service VPS that would take a 3-person team to replicate manually.
What "AI Marketing" Actually Means Here
Not prompts. Infrastructure.
Automation Workflows
n8n pipelines that run lead scoring, content distribution, campaign monitoring, anomaly detection, and reporting without human intervention. 62+ workflows in production across clients.
AI Agent Systems
Custom agents that monitor 14 AI crawlers, audit SEO in 60 seconds, track competitor citations across 5 AI engines, and alert via Telegram when something needs attention.
Revenue Attribution
Server-side tracking connecting Google Ads to Mixpanel to Stripe. See revenue per keyword, per campaign, per page. Not vanity metrics: actual money in, money out.
Content at Scale
Research-to-publish pipelines that produce SEO-optimized content 10x faster than manual. Not AI slop: structured workflows with human review gates at every stage.
Real-Time Dashboards
Live reporting connected to your data stack. Campaign performance, funnel health, revenue attribution, churn signals. Updated automatically, not once a week in a PDF.
GEO & AI Visibility
Automated monitoring of your brand's presence across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews. Schema, llms.txt, crawler access, citation tracking: all instrumented.
What I Actually Build (Not Slides)
These are systems running in production right now.
- 62+ n8n workflows automating marketing operations across multiple clients
- AI-powered SEO audit engine that runs in under 60 seconds and rivals $5K agency audits
- Automated attribution pipeline connecting Google Ads to Mixpanel to payment systems
- AI agent monitoring 14 AI crawlers and auto-optimizing site visibility
- Content production pipeline: research to draft to SEO-optimize to publish, 80% automated
- Real-time Telegram alerts for campaign anomalies, budget pacing, and conversion drops
- 40+ Coolify-managed services on a single VPS: PostgreSQL, Redis, SearXNG, Browserless, and more
- Competitive citation monitoring across 5 AI engines with weekly delta reports
Why No One Else Offers This
Marketing consultants don't code. They use tools. They don't build them. When a workflow breaks, they file a ticket. When an integration doesn't exist, they wait for someone to build it.
Developers don't do marketing. They can build the pipeline but they can't tell you which keywords to target, how to structure a campaign, or when the ROAS math stops working.
Agencies sell seats, not systems. You pay for junior staff managing dashboards. When you leave, the knowledge leaves. Nothing compounds.
The intersection of senior marketing operator + production-grade AI builder is nearly empty. That's where Yaniv sits: 80% of his day runs on a VPS with Claude Code, building the same infrastructure he installs in client businesses.
The Stack
Every tool earns its place. Nothing decorative.
Claude Code
Primary operator. Code generation, content pipelines, multi-agent orchestration, data analysis. The brain of every automation.
n8n
Automation backbone. 62+ workflows: webhook triggers, API integrations, scheduled jobs, error handling, Discord/Telegram notifications.
PostgreSQL + Redis
Memory and storage. Trading data, client analytics, token usage, attribution tables. Redis for working memory and caching.
Coolify PaaS
40+ services managed on a single VPS. Traefik routing, SSL, container lifecycle. The same infra that runs client systems.
SearXNG + Firecrawl
Research and scraping. Privacy-first search, competitor monitoring, content extraction, market intelligence gathering.
Mixpanel + GA4
Analytics layer. Event tracking, funnel analysis, cohort breakdowns, server-side attribution. Connected to everything above.
Track Record
AI systems built on top of proven growth outcomes.
The AI layer is new. The growth outcomes are not. The same operator who built Elementor's organic engine, scaled Riverside's paid acquisition to $450K/month, and grew cnvrg.io's pipeline before Intel acquired them now applies AI systems to every layer of the growth function.
Read: Elementor Case Study Read: Riverside Case Study Read: cnvrg.io Case Study
Transparent Pricing
Three tiers. No surprises.
- ✓Full marketing stack audit
- ✓Automation readiness score
- ✓AI opportunity map (prioritized)
- ✓ROI projections per automation
- ✓Implementation roadmap
- ✓Everything in Audit
- ✓Custom n8n automation build
- ✓Attribution pipeline setup
- ✓AI content production system
- ✓Real-time dashboards
- ✓Weekly strategy calls
- ✓Everything in Foundation
- ✓Full marketing ops management
- ✓Paid acquisition (Google + Meta)
- ✓SEO + GEO optimization
- ✓Lifecycle automation
- ✓AI agent monitoring 24/7
- ✓Bi-weekly executive reports
Frequently Asked Questions
Agencies add ChatGPT to their existing workflow and charge a premium for it. I build custom infrastructure: n8n workflows, Claude Code pipelines, PostgreSQL data layers, automated monitoring agents. When the engagement ends, you own the systems. They keep running. An agency's AI usage disappears when you stop paying.
No. The systems are designed to run autonomously with monitoring and alerting built in. If something breaks, you get a Telegram alert and I fix it (on Foundation and Premium). For the Audit tier, I deliver a roadmap your team can implement, with or without technical staff.
Attribution pipeline: 2 weeks. Content automation: 3-4 weeks. Full marketing ops suite: 8-12 weeks. The AI accelerates the build itself. What would take a team of 3 engineers two quarters, I build in one.
They will. That's why the architecture is modular. Each component (LLM provider, automation engine, data store) can be swapped independently. I run an 11-provider LLM waterfall that automatically fails over. Resilience is built into the design, not bolted on.
Yes. The systems I build augment your team, not replace them. Your content lead reviews AI-generated drafts. Your paid lead uses the attribution dashboard. Your ops person monitors the automation alerts. I build the infrastructure; your team drives it.
B2B SaaS and B2C subscription products with digital acquisition models. Post-PMF. The systems require measurable funnels: signup, activation, payment. If your sales cycle is handshake-driven with no digital trail, the automation layer has nothing to optimize.
Ready to Build Your AI Marketing Engine?
15 minutes to assess your automation readiness. I'll tell you exactly which systems would move revenue and which are hype.
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