AI Marketing Infrastructure

n8n Marketing Automation Consultant Who Runs His Own Business on the Stack

Most marketing automation consultants sell you a tool and a deck. I build self-hosted AI infrastructure on n8n, the Claude API, and Postgres, and I run my own marketing operation on exactly that stack every day. You get a system your team owns, not a subscription you rent.

Why most marketing automation projects fail

The typical marketing automation project bolts together five SaaS tools that each charge per contact, never quite talk to each other, and leave you with monthly bills that scale faster than your list. When the consultant leaves, nobody on your team understands the wiring, so the system rots. You are renting complexity you do not control.

n8n changes the economics. It is an open-source workflow engine you can self-host, which means your automation logic lives on infrastructure you own, connects to anything with an API, and does not bill you per record. The catch is that it rewards someone who actually understands both marketing and infrastructure. That is the gap I fill.

What I build

Lead and lifecycle workflows

Enrichment, scoring, routing, and lifecycle triggers wired in n8n against your CRM and product data, with no per-contact tax.

AI agent workflows

Claude API and Claude Code agents for content drafting, research, classification, and reporting, embedded directly in your pipelines.

Attribution and reporting

Server-side event capture into Postgres, cross-platform attribution, and dashboards that pull from one source of truth instead of five.

Citation and visibility monitoring

A pipeline that watches when ChatGPT, Claude, and Perplexity start quoting your brand. The same play I run on my own site. See GEO.

The stack I deploy

n8n for orchestration, the Claude API and Claude Code for agent work, Postgres for the data layer, Redis for working memory, and Coolify for self-hosted deployment. SearXNG for private research, headless browsers for scraping and visual checks. Every piece is open or self-hostable, so when the engagement ends you keep a system your engineers can read, extend, and run without me.

I eat my own dog food

This is not a stack I read about. I run my entire marketing operation on it: content pipelines, client reporting, research, and AI-search monitoring all flow through n8n and Claude. I built a Claude Code skill for SEO and GEO work that I use on live client sites. When I set up your infrastructure, I am handing over patterns I depend on personally, debugged in production. Read the build story on the Claude Code SEO and GEO skill page.

n8n vs stitched-together SaaS

Dimension Stacked SaaS tools n8n self-hosted
Cost model Per-contact, per-seat, compounding Flat infrastructure cost you control
Ownership Vendor lock-in You own the workflows and data
Flexibility Limited to vendor connectors Connects to anything with an API
AI integration Whatever the vendor ships Direct Claude API and agent control
Handoff Black box when consultant leaves Readable system your team runs

Pricing

AI marketing infrastructure is project or retainer based. Operator engagements can fold this into a broader fractional role.

Diagnostic sprint

Fixed $6,000-$8,000

2-4 week audit of your growth stack plus a 90-day roadmap. Fixed scope, converts to a retainer.

AI Marketing infra

From $5,000/mo
  • n8n workflow build
  • Claude agent integration
  • Attribution and reporting
  • Team handoff and docs
Operator (embedded)

$8K-$18K/mo

Full fractional role with infra build folded in. See fractional CMO.

Frequently asked questions

Do you actually use n8n or just consult on it?

I run my own marketing operation on n8n every day: content pipelines, client reporting, research, and AI-search monitoring. The patterns I hand over are debugged in my own production, not read from docs.

Why n8n instead of Zapier or Make?

n8n is open-source and self-hostable, so you own the workflows and data and avoid per-task billing that compounds at scale. It also gives direct control over Claude API and agent calls that hosted tools limit.

Can you integrate Claude and AI agents into the workflows?

Yes. I build Claude API and Claude Code agents directly into n8n pipelines for content drafting, research, classification, and reporting.

What happens when the engagement ends?

You keep a readable, self-hosted system your engineers can run and extend without me. No black box, no vendor lock-in.

How much does an n8n marketing build cost?

A fixed-scope diagnostic sprint runs $6,000 to $8,000. Infrastructure builds start at $5,000 per month. A full embedded operator engagement runs $8,000 to $18,000 per month.

Do you work with both startups and ecommerce?

Yes. The same automation patterns serve B2B SaaS lifecycle and ecommerce attribution. See AI marketing and marketing ops.

Can you also set up AI-search and citation monitoring?

Yes. I build a pipeline that watches when ChatGPT, Claude, and Perplexity quote your brand, the same play I run on my own site. See GEO.

Is this just for technical teams?

No. I build the system and document it so non-technical marketers can operate it, then train your team on the parts they touch.

Build a marketing engine your team actually owns

Book a 15-min call. I will tell you what to build, what to skip, and whether n8n is the right backbone for your stack.