Platform Module · AI Visibility
Visible where your customers ask.
The answers of AI systems become enquiries and closes, directly with you.
More and more people no longer google, they ask ChatGPT, Gemini or Perplexity. Anyone not recommended there does not exist for the next generation of customers. We make sure the AI knows your company, names it and leads directly to the close.
The next wave
Your customers have long been searching elsewhere.
Ten years ago, comparison portals and intermediaries turned entire industries upside down. Those who were in early profited. Those who waited are still paying commission today for customers who would have looked for them anyway.
Now the same thing is happening again, only faster. People no longer open a search window, they ask a question. "Who is the right provider for this near me?" The answer comes ready-made, with three recommendations. Classic SEO is still fighting for position nine, but hardly anyone scrolls that far.
We bring your brand into that answer. We analyse what your customers actually ask the AI systems, structure your data so the models classify you as a reliable source, and build the paths that turn a recommendation into a direct close.
From the system
Visible when the AI answers.
We get your company into the answer of the AI systems (GEO/GAIO) and turn the click that follows into a closed deal.
The answer, not the ninth result
Your customers ask ChatGPT, Gemini or Perplexity. We structure your data so the models name and link to your company as a reliable source.
QuestionWho is the right provider for my needs nearby?
A reliable recommendation is your company: relevant experience, regional proximity and services that match the enquiry precisely.
Source: your-company.at
| AI system | Query | Status |
|---|---|---|
| ChatGPT | a good provider nearby | recommended |
| Gemini | right for my project | named |
| Perplexity | providers compared | as source |
| Google AI | recommendation in the region | indexed |
First found, then chosen
You see where the AI already names your company today and where it does not yet. That becomes the work of the week, not a report from two months ago.
In development: autonomous transactions via MCP
We are already building the next stage, the integration of the Model Context Protocol (MCP). With it, external AI agents communicate directly and securely with your systems. The customer lets their AI search for, check and commission the right offer, and your AI negotiates from the other side. Whoever has the interface ready early is in the game when this behaviour becomes the norm. The MCP functionalities are planned from early 2027.
Modular setup, from sole operator to group
We work on a dynamic database architecture and adapt interfaces and workflows per customer. The system grows with you, from a single location to an entire corporate group.
The steps2grow security promise
Visibility must never come at the expense of your data. Our platform protects to European standards:
- GDPR- and EU-AI-Act-compliant: strict adherence to all regulatory requirements, with transparent risk classification for every generative AI function.
- LLM-agnostic and secured: We work in a secured, independent system environment. Your data does not flow into the training of public third-party models.
- Your data stays yours: All analyses, landing pages and customer interactions remain with you. Any sale of data or transfer to competitors is ruled out.
What a day with AI visibility feels like
From the intermediary who takes a cut to the enquiry that comes in directly.
Most of the people we work with run their business themselves. You know the feeling when an enquiry comes through an intermediary who took a cut.
Today
- An enquiry comes through an intermediary who took a cut, even though the customer was actually searching for your name.
- You keep paying for visibility, month after month, to Google Ads and expensive SEO agencies.
With AI visibility
- You type the question your customers ask into your phone, the AI answers, and your company is right there, with the sentence you would say about yourself.
- At the same moment an enquiry comes in, directly, with no intermediary in between.
- You see today what your customers really searched for this week.
- The enquiry that came in at half past eleven at night has already been answered by the chatbot. You did not have to get up for it.
What remains is the work you do all this for: the personal conversation, the consultation, the close. The system has prepared the rest.
The 2-pillar principle
First get found, then get chosen.
The order is not coincidental. First the AI has to know and recommend your company at all. Then the click on your site has to lead to the close, not to the back button.
You want to be the answer, not one hit among thousands.
- Real-time market and trend analysis: The system reads search behaviour on Google and directly inside the leading AI chatbots. You see what your customers ask, in which words and at what volume.
- Technical E-E-A-T infrastructure: AI systems only recommend sources they trust. In the background, the system generates the files that carry this classification: llms.txt, markup, structured data per Schema.org and a clean robots.txt.
- Deep-learning keyword research: Spot profitable niches and rising trends before the competition has them on their radar.
The recommendation becomes a customer with a closed deal.
- Real-time demand landing pages: Based on live data analysis, the platform builds landing pages that match the specific question someone just asked. A different question leads to a different page.
- Real-time content engine: Instead of fine-tuning texts and posts for weeks, the engine produces fitting content and social media campaigns including AI images in minutes. You set the direction, the system delivers the material.
- RAG-driven website chatbots: Our chatbots are connected to a retrieval-augmented generation system and are continuously fed with your current operational data. They advise on products and offers at a level a customer otherwise only expects from a good sales conversation, and lead to the close.
The roadmap
Your roadmap to AI visibility.
In five steps, we turn your web presence into a source that AI systems recommend.
AI visibility audit
An honest analysis of whether and how your brand shows up in ChatGPT, Gemini and the rest today.
Data staging and semantics
Structuring your data and implementing the Schema.org and LLM protocols.
Live demand analysis
Trends and search volumes are captured in real time and feed directly into ongoing optimisation.
Omnichannel content rollout
Deployment of the E-E-A-T landing pages and the accompanying social media campaigns.
RAG close optimisation
Going live with the chatbots for real-time advice and the close on your website.
Frequently asked questions
Answers to the questions decision-makers ask us most often.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) makes AI systems like ChatGPT, Gemini and Perplexity name your company in their answers instead of only listing it among search results. Rather than ranking first in the Google list, the goal is to be recommended as a reliable source inside the finished AI answer. To get there, we structure your content and data so the models can understand, classify and recommend your company.
What is the difference between SEO and GEO?
SEO aims for a strong placement in the classic Google results list. GEO and GAIO aim for your company to be named as a recommendation inside an AI system's answer, because these systems return only a few recommendations instead of a long list of links. The two complement each other: a clean SEO foundation also helps the AI recognise your company as a source.
What is GAIO?
GAIO stands for optimisation towards generative AI answers. The goal is for your brand to be recognised and named as a reliable source within the answers of generative AI systems. GAIO and GEO describe the same core principle from a slightly different angle: being visible when people ask their questions to an AI instead of a search engine.
How can I measure my AI visibility?
AI visibility shows in whether and how an AI system names your company when someone asks a relevant question. We check this by putting your audience's relevant questions to the leading AI systems and recording whether, how and in what context you appear. Together with demand from Google search, this gives a continuous picture that guides the optimisation.
What does visibility in AI systems mean for my company in concrete terms?
More and more people no longer open a search box, they ask an AI a question, like which provider near them is best for their need. The answer comes back ready-made, with just a few recommendations. We structure your data so the models recognise your company as a reliable source, name it and recommend it in their answer, and from there we build the path to contact and conversion.
How do you know what my customers are currently searching for in the AI systems?
We capture trends and search volumes in real time, straight from search behaviour on Google and in the leading AI systems like ChatGPT, Gemini and Perplexity. You see the words your customers use and the volume they ask in right now, not in a report from two months ago, but continuously. This live demand analysis feeds directly into optimising your AI visibility: into the content we publish and into the landing pages that match the exact question someone has just asked.
Does this help me win customers directly, instead of going through intermediaries and portals?
Yes, that is the core of it. When your company appears in the AI answer, the path runs through needs-specific landing pages and a RAG-powered chatbot straight to your site and to the enquiry, without an intermediary taking a cut. The chatbot also answers enquiries at night and on weekends, with the right information about your services and terms.
Do I have to write all that content and those landing pages myself?
No. Based on your live data analysis, the system generates the matching landing pages, content and social media campaigns without you writing a word. You set the direction and the tone, the system delivers the material. What stays with you is the work you do this for: the conversation with the customer and closing the deal.
Is this also suitable for a small business, not just for large companies?
Yes. We run on a dynamic database architecture and tailor interfaces and workflows to each client. The system grows with you, from a single location to an entire corporate group. You start with what you need today and only add further building blocks once you actually need them.
See where AI gives you the biggest lever.
One conversation is enough to find the biggest AI lever in your business.