AI visibility & applications
I assess how Google AI and ChatGPT interpret your offer, then improve the content and signals you can control.
A first look
I review one service in one target market and send you a personal assessment. No automatically generated report.
0 €
Personally by email · 2 working days
Measure first, then invest where it helps. An audit shows which next step matters for your offer.
01 / 5 working days
€790 fixed
You see when competitors appear in AI answers, which sources are visible and which controllable gap matters first.
For one service in one target market. Implementation is excluded and only offered when it makes sense.
Request the audit02 / From 2 weeks
From €1,900
I implement the prioritised content and technical actions from the audit. After 30 days, I test the same buyer questions again.
For one clearly defined offer. New external publications and larger technical rebuilds are quoted separately in advance.
Plan implementationAfter the audit, ten fixed buying questions are checked again each month. Relevant changes come with a short recommendation.
From €190 / month
Request monitoringAll prices exclude VAT. Software licences and external usage costs are disclosed separately in advance.
Customers describe their problem directly to AI. The answer can influence which providers they consider next.
“Which heat pump installer in Vienna understands older buildings and can assess my situation?”
SEO helps a relevant page appear in search. GEO also checks whether AI uses those sources for specific buying decisions and classifies your business correctly.
AI forms answers from available information and may turn that into a shortlist. A generic service page is often not enough.
Many businesses still do not measure their visibility in AI answers. The GEO audit checks 15 concrete buying questions and documents visible sources. After implementation, the same questions are checked again.
This shows whether your business appears more often. A mention or recommendation cannot be guaranteed.
Discuss a GEO auditOne question can trigger several searches. Only selected sources make it into the answer.
ChatGPT searches further before it answers. The sources it uses remain linked.
Current product data helps ChatGPT find and compare suitable offers.
MCP gives assistants controlled access to approved data and tools.
A different use case
GEO helps AI understand your offer. A ChatGPT app makes one bounded part of it usable in the conversation. You do not need to build both at once.
The pilot fits when customers or staff repeatedly select, compare or retrieve information and the result should continue into an existing process.
One bounded part of your offer is implemented as a ChatGPT application and prepared for a possible submission through the current plugin structure.
MCP connects approved data and tools. What matters is what customers or your team can accomplish with them.
From €2,900 net
With a suitable API. Missing interfaces quoted separately. Public approval by OpenAI is not guaranteed.
Discuss an app projectNo. SEO helps your pages get found. GEO also checks whether AI uses those sources for concrete buying decisions and classifies your business correctly. Strong SEO remains the foundation.
Many businesses do not yet measure their visibility in AI answers. Starting now creates comparable measurements earlier and reveals which sources actually work.
OpenAI currently groups extensions as plugins. They can combine skills, MCP servers and an optional interface. This pilot focuses on one bounded use case with an interface in ChatGPT.
Not for GEO. MCP becomes useful only when an assistant should read current data or perform an action after approval.
No. Neither Google nor ChatGPT sells a guaranteed mention. What can be measured responsibly is whether your business appears more often and whether the statements are correct.
A ChatGPT app is designed for use inside ChatGPT and can make part of your offer accessible there. An internal assistant stays in your own working environment and supports defined team workflows. The same use case is not automatically right for both.
Not necessarily. MCP is a standard way to expose tools and data. A clear use case, controlled access and a reliable data source matter most; the simplest suitable connection is selected.
The first step is to identify which data is genuinely required and whether a small, bounded interface makes sense. That preparation and implementation is offered separately before the app pilot begins.
Only when the process, permissions, confirmation and failure handling can be scoped safely. Sensitive or paid actions receive explicit user approval and a traceable handover.
No. I can prepare technical quality, tests and submission material; review and approval remain with OpenAI and may change.
You receive the agreed deliverables, documentation, test cases, known limits and configured access under the proposal. Third-party platforms and licences remain subject to their own terms.
The personal quick check points to a useful first step.