Content Agent
before: There is never time for regular LinkedIn posts.
Posts in the company's style, regular and ready for approval.

Best practices from more than 40 go-to-market projects, brought together in a platform the company owns.
01 · Where things stand
Almost every company has made first attempts with AI. What's missing is someone who turns it into a system for marketing and sales.
2,500 dots, 8.1 billion people. Each dot stands for around 3.2 million people. As of February 2026.
A few people try things out, each on their own. Without the company's knowledge and without a connection to the CRM or the inbox.
A dedicated AI hire is expensive and hard to find. So the topic runs on the side: a little for everyone, fully for no one.
The tools get better every month. Waiting costs nothing visible, but it gains nothing either.
What AI can do Models and AI agents
What reaches daily work Use in companies
Gap the gap in between
The gap widens every month. Those who close it early are years ahead of the competition.
Embedded the right way, AI works reliably and transparently, and every new model helps. Three things make the difference:
reliable
AI agents from 2026
unpredictable
AI agents until 2025
AI agents today
Fixed work instructions instead of improvisation
Knowledge from the company's own systems instead of general knowledge
The team approves at every important step
02 · The platform
An AI development partner for marketing and sales, not another tool: built, run and developed further, with knowledge transfer to the team.
Proposals, presentations and posts in the company's own style, without explaining everything again.
Knowledge, templates and company knowledge in one place, with a dashboard of its own for marketing and for sales. An AI agent of its own knows the company and gets tasks done.
For example
Knowledge areas
Example company with made-up content, no real data.
Knowledge cloud of the example company with the knowledge areas Company knowledge, Marketing, Sales. Examples from the knowledge: Business letter Musterwerk, Case study, Payback calculator.
03 · Collaboration
The collaboration runs inside the company's own app: marketing, sales and management see the plan and status there, and how their feedback is implemented.
Fill in the questionnaire, upload documents and templates. Everything goes straight into the company knowledge, and Clickmatic starts building.
Little effort for the team: upload documents, Clickmatic builds.
The app always shows what is done, what is being built and what comes next, including the feedback that has been implemented.
Plan, status and feedback always visible in the company's own app.
From month 3, every request gets a size from S to XL with a fixed number of points. Nothing is booked without approval.
Monthly allowance
A dedicated partner for AI, with clear rules.
The sizes
04 · Results
Over three years, more than 40 go-to-market projects, meaning projects in marketing and sales, produced the system that Clickmatic builds for marketing and sales today.
40+
go-to-market projects
in three years, from the target group to the meeting in the calendar
For these projects, Clickmatic built tools, templates and AI agents in-house. They became the best practices behind every building block of the AI platform for marketing and sales.
Door-opener asset and LinkedIn
Go-to-Market App, one sender
500 connection requests per month
150 accepted (30%)
30 replies (20%)
3 to 5 meetings per month
Every meeting starts with a personal asset instead of a cold pitch
Re-engaging existing customers
5,000 contacts in the customer base
Buying signals per month (job change, new location, funding round)
~40
of which warm follow-ups with a fitting reason
~10 / mo
The contacts are already paid for: no list purchase, no cold start
New conversations from the customer base, acquisition costs close to zero
Company Knowledge for AI
15 people in marketing and sales
Model: 15 people, 3 hours each per week
≈ 180 h per month
Proposals, presentations, posts and meeting preparation in the company's own style
≈ €10,800 of internal time per month (€60/h)
Sales Academy
Consulting firm, 60 sales reps
Working days saved on onboarding and training
≈ 190 per year
Model: one additional deal per sales rep per year
+60 deals
≈ €90,000 in effort saved per year (€60/h)
Model calculations based on average planning values. Actual results depend on the starting point and usage.
Your own demo shows what this looks like for your company: at no cost and personalized.
05 · Services
Clickmatic does what would otherwise take a dedicated AI hire for marketing and sales: building it, running it and developing it further. This includes:
Company Knowledge for AIBlock 1
Go-to-Market AppBlock 2
Tailor-made AppsBlock 3
AI development partner
Security and ownership
Company Knowledge for AIBlock 1
Go-to-Market AppBlock 2
Tailor-made AppsBlock 3
AI development partner
Security and ownership
06 · Comparison
The alternative is not software. It is a dedicated AI hire for marketing and sales. Clickmatic takes on that role's tasks as an AI development partner.
Running costs
In-house hire:Around €70,000 to €95,000 annual salary, around €7,000 to €9,500 per month including employer costs. Software, development and onboarding come on top
Clickmatic:An ongoing monthly service with no setup fee and a short term
Until it starts
In-house hire:Search, selection, notice period, onboarding. Plus a recruiting fee of 25 to 30 percent of an annual salary
Clickmatic:A kickoff, then marketing and sales work in their own dashboard from the first month. The other building blocks follow as planned, without recruiting and without onboarding
What is covered
In-house hire:One person for strategy, technology, sales and operations at once
Clickmatic:A proven system from ongoing practice, plus the tools and templates for it
If it doesn't work out
In-house hire:A wrong hire or a departure, and the topic stalls again
Clickmatic:Short term. Code, app, data and all accounts are in the company's name from day one, without depending on Clickmatic
The two are not mutually exclusive: anyone who builds an in-house team later takes over a running system instead of starting from zero.
The platform belongs to the company from day one: code, app, data and all accounts are in its name. It keeps growing in-house as a company asset, without depending on Clickmatic. On request, one of the company's technical staff learns to develop it further.
GDPR and servers in Frankfurt
With a data processing agreement, all data in the EU region. Customer data does not train any AI model.
The team approves
At every step that matters, a person decides. AI agents prepare, people approve.
Permissions per person
Everyone sees only what they are allowed to see, on the AI platform and in ChatGPT, Claude or Copilot.
07 · FAQ
Clickmatic builds companies their own AI platform for marketing and sales, runs it and keeps developing it as their AI development partner, with knowledge transfer to the team. Inside: Company Knowledge for AI with templates and AI tasks, the Go-to-Market App and a tailor-made app. Behind it are best practices from more than 40 go-to-market projects. The platform belongs to the company from day one and keeps growing in-house as a company asset, without depending on Clickmatic.
Clickmatic does what would otherwise take a dedicated AI hire for marketing and sales: building it, running it and developing it further. This includes a weekly check-in, clear responsibility and knowledge transfer to the team. The goal: marketing and sales work with AI as fast as the frontrunners, without having to become technical.
The AI platform runs in Frankfurt, Germany (app, database and files in the EU region). The AI models run under the company's own AI contract. There is also a data processing agreement and permissions per person, and at the steps that matter, a person decides.
For B2B companies where marketing and sales have their own leadership or clear responsibility and want to use AI productively, without creating a dedicated AI role. Almost every company has made first attempts with AI, regardless of its size. What's missing is someone who turns it into a system for marketing and sales.
No migration at the end: code, app, database and files are already in the company's accounts. For the handover, there is documentation and a handover meeting with a short walkthrough. The platform keeps growing in-house as a company asset, without depending on Clickmatic. On request, one of the company's technical staff learns to develop it further.
From month 3, every request gets a size from S to XL and costs a fixed number of points from the monthly allowance, booked only after approval. Fixing bugs never costs points from the allowance. The app always shows what has been used, what is being built and what comes next.
Yes. The marketing and sales knowledge we build for the company can also be used in ChatGPT and Claude, through an interface based on the open MCP standard. If the company works with Microsoft 365 and Copilot, the AI models run under its own Azure contract, and the company knowledge can also be used in Copilot. This helps everyone who already works with AI tools of their own. The knowledge keeps growing because the team works with it and adds new knowledge. Every AI tool in the company can access it through the interface, with each person's permissions, and gets tasks done more precisely according to the company's rules.
The next step
At no cost and with your own login: a demo of its own, fully personalized and built specifically for your company from public information. Presented in a joint meeting.
Company Knowledge for AI
Examples for marketing and sales
Go-to-Market App
Two sample campaigns for your own target group
Tailor-made app
A first concept for an app of its own in marketing or sales
Two minutes to request, then pick a time. No obligation.