Compact audit
counts the contradictions
Norbert Kathriner
Machine-Readable Brand Communication
This is because on established websites, outdated and current, contradictory, and ambiguous statements often appear side by side.
With Aivis-OS, I resolve these contradictions.
After that, your website will be assigned a domain-based data layer: It links the clarified statements together in a machine-readable format.
The first step is free.
For companies that can do everything—except say what they stand for.
For companies whose history is longer than their current product lineup.
For companies whose websites look great but are misunderstood.
For companies that would rather be cited by AI than invented by it.
It is not the loudest, but the most precise who will benefit from LLMs.
My approach to machine readability has a beginning and an end.
The beginning and the end always form a fixed framework. It’s like building a house: first the house, then the furniture, and finally the garden. You decide where to start.
Start · always
Conversation
this is where my work begins
Clarify
you decide which facts apply
This website · 26 Sep 2026
End · always
Data layer
domain-based, built from the entity inventory
Afterwards · on request
Scenarios
find and fill gaps
External sources
find and correct information
Maintain
conflict monitoring and attestation
Aivis-OS, the product
my service
both
The process: At the beginning, the compact audit identifies the inconsistencies; my work begins with the discussion, and then we clarify the issues. In between, if desired, we make decisions, consolidate, and develop. At the end comes the data layer. After that, if desired, we explore scenarios, incorporate external sources, and consolidate. Aivis-OS, the product, is the “dark” part; my service is the “light.”
- Beginning: You know how many pieces of information on your website contradict each other. Aivis-OS’s compact audit counts them—for free. My work begins with our conversation.
- Clarify: You decide which facts apply. Once that’s done, your domain will be consistent across all pages.
- Why first: Even an objection can be made machine-readable.
- In between, if you like: You know what you stand for (Decide), let go of what no longer serves you (Consolidate), and have aspects of yourself that work well (Develop).
- End: Machines read the same facts as humans, from a domain-based data layer built from an inventory of entities. The house is standing.
- After that, if you’d like: Your website answers your customers’ most important questions—that’s the furniture. And you know what other websites say about you that’s different—that’s the garden.
Aivis-OS is the product. I provide the service, working with network partners as needed.
This website is currently going through the process itself. On September 18, 2026, I had 57 old scripts containing structured data removed from 50 pages on my domain. The data layer will be added as soon as the German version is free of inconsistencies.
I don't decide what a third-party AI system does with your source data. I just make sure it's accurate.
Tell me what you stand for, and I’ll tell you where you stand.
Norbert Kathriner
Machine-Readable Brand Communication
Digital Communication Boutique
Visibility starts with data—not clicks.
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