How ITNT Media Group runs an AI driven business on n8n

Background

ITNT Media Group, founded in 1989, started as a traditional marketing agency focused on marketing activities. For decades, the team supported clients with hands-on work such as designing assets in Photoshop or Canva and executing campaigns manually.

Over the last five to eight years, the company completely reworked its business model to focus on AI and automation, embedding AI into customers’ processes. Their clients range from small local businesses like restaurants on the street to multinational enterprises such as BMW, including customers in the US.

In the past three years they developed their own products, GetGenius and Maato AI, focused on marketing activities like social media, newsletters, and content marketing.

Today, ITNT Media Group positions itself as an AI marketing solutions provider, using n8n as the backbone to orchestrate integrations, AI models, and business processes.

Tom Terodde explains their approach:

“Our mission over the last five years was to focus completely on AI and run everything with the help of AI processes.”

n8n sits at the center of this strategy, as “ Everyone apart from the cleaning woman is using n8n in the company” , said Marco Rolof, Founder and CTO.

Challenge

Before adopting n8n, ITNT Media Group relied on siloed tools and custom development to deliver digital marketing services.

Initially, they:

• Delivered marketing manually, creating assets and content via Photoshop, Canva, and other tools.
• Built their own marketing operating system, GetGenius, where customers could connect tools and use AI to create blog articles and other content. “We developed our own software called Genius, which was like a marketing operating system where the customer could connect all their different kinds of integrations and have AI functionality.”

However, maintaining and evolving Genius became painfully difficult. “The development was very hard. Inside the tasks we had to code everything. Each new integration or workflow required specialized development skills, especially in Python. Hiring and retaining such developers was difficult and expensive.”

At the same time, data privacy and hosting requirements became more important, especially for German and European customers. The team needed:

• A flexible integration layer with a large set of ready made connectors
• A way to let non-developers design workflows visually
• Self hosting options to keep sensitive customer data off US based SaaS tools
• A system that could scale across departments: marketing, sales, finance, customer success, and project management

The limitations of their custom software and manual work led them to evaluate external workflow platforms such as Make and n8n.

Solution

After testing multiple tools, ITNT Media Group chose n8n as their central automation and AI orchestration platform.

Key reasons for choosing n8n:

• Local, self hosted deployment and data privacy “Data privacy was very important for us. The possibility to host n8n on a local basis for different kinds of customers was a big point.”
• Extensive, plug and play integrations across tools and services  “n8n has a big sort of different kinds of integrations. We have different kinds of customers and they come with different kinds of tools and so on. It is very nice that we can just plug and play different kinds of integrations.”
• Visual workflow canvas that non developers can use “In the canvas framework we can work without any deep development knowledge.”

n8n is now used company wide:

• Marketing and sales
• Finance (invoice processing)
• Customer success (onboarding and offboarding customers)
• Project management (including their own task agent)

They even created an internal AI powered task manager:

“We set up our own task agent where you can directly chat with your task manager and he will tell you everything you need to do right now or put the projects up front.”

Maato: an AI ecommerce optimizer built on n8n

The most impactful application is Maato, ITNT’s shop optimization tool that is 60% based on n8n.

Maato uses n8n to run end to end ecommerce optimization workflows:

1. Connect to ecommerce platforms. n8n workflows connect to Shopify, WooCommerce, Shopware, and other shop systems.

2. Run SEO analysis and keyword research. A workflow starts SEO analysis to check keyword rankings and identify optimization opportunities. “We start a workflow for SEO analyzing how good the customer is ranking on different kinds of keywords and what would be the optimal way to optimize products, product descriptions, category descriptions, SEO text, but also blog articles.”

3. Import and enrich products Products are imported from the shop and enriched based on keyword research. n8n orchestrates content generation using cloud AI models (OpenAI, Google) and, in the future, self hosted open source models. “Every shop product will be imported and based on the keyword research that we do, we optimize the product descriptions, category descriptions, but also images.”

4. Generate AI influencers and visuals. For fashion clients, Maato uses AI tools such as Veo3 to create AI avatars that wear the products and generate images and videos. “We create different kinds of AI influencers. For example, fashion customers who sell t-shirts or hoodies. We create AI avatars that wear those hoodies instead of just white background product photos.” It’s a virtuous cycle: “We create those AI influencers who wear those hoodies, create videos based on that, and create social media content based on this.”

5. Publish content and campaigns. n8n orchestrates sending the optimized product content, images, blog posts, and social media content back into the shop and out to social platforms. They are now testing performance marketing campaigns fully based on n8n workflows.

While this workflow is especially powerful for ecommerce, parts of it are reused for non ecommerce clients such as lawyers and recruiting companies to generate blog content and social media posts

Deep observability and faster development

n8n also transformed how ITNT builds and debugs processes:

“n8n has a perfect kind of solution for development and debugging. You can really look into different kinds of nodes, different kinds of executions, what went well, how the data moved through the processes visually. So you can develop much faster and in a much more efficient way.”

Marco highlights why n8n replaced custom coded “satellite” services around GetGenius:

“For all these satellites we built up, it was so great because we were much faster. It is easier to use it especially for the other side. It is easier for us to use n8n for all our satellites and we’re really happy with that.”

Results

By adopting n8n as their core workflow and AI orchestration engine, ITNT Media Group achieved measurable business impact for both their own operations and their customers.

1. 20% revenue uplift for ecommerce customer

One of Maato’s fashion customers, “Tara-M,” saw a 20 percent increase in monthly revenue after implementing Maato’s n8n powered workflows. “He was doing like 1 million per month in revenue before we started. Now it’s 1.2 million every month.” This uplift was achieved in just four months, with a very small investment:

The ROI is substantial, driven by better SEO rankings, higher conversion from richer product pages, and engaging AI influencer content.

2. Near universal adoption inside the company

n8n is not confined to a technical team. Almost every employee uses n8n. “All departments use n8n: marketing, sales, finance, customer success, project management.”

This broad adoption shows how accessible n8n is to non developers, thanks to its visual canvas and plug and play integrations.

3. Faster development without deep coding

With n8n, ITNT can ship new workflows and products far faster than with their previous custom coded approach:

• No need to find scarce Python developers for every change
• Visual workflow design speeds up prototyping and debugging
• New product capabilities like Mato’s AI influencer engine can be built by people who understand customer needs, not just code

4. Strong data privacy and control

Self-hosting n8n on their own servers allows ITNT to meet strict data privacy requirements and explore open source AI models to reduce dependency on external providers.

“Currently it works fine with the cloud services, but we want to move back to open source models, setting things up for our customers also for data privacy concerns and cost optimization.”

They are experimenting with models like DeepSeek on their own servers while still using cloud models from OpenAI, Anthropic, and Google when appropriate.