AI Visibility offer

For companies that would rather maintain one source than correct a hundred responses.

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Are you looking for a solution for AI visibility?

You're looking for a way to increase your visibility on ChatGPT, Claude, and other similar platforms. You already realize that AI search is increasingly becoming an alternative to traditional search engines, especially Google.

Visibility is important to you and your business. And you want to act quickly. By now, at the very latest, you’re already being flooded with offers on this topic—promises included. What should you do next?

I think the first thing you need to realize is that this isn’t about a new type of search—it’s really a decision-making process. An LLM—such as ChatGPT, Claude, or Google’s Gemini—enables you to have a conversation, and the more often you use these tools, the better they get to know you, your situation, your environment, and your needs.

People spend a lot of time using these new tools, sharing information in both personal and professional contexts. This is very different from a Google search—and also different from what are known as “AI Overviews,” or Google’s AI-generated answers. The latter is still a search—just with more detailed answers.

Norbert-Kathriner-Work
Deliver and Verify - Domain-Based Structured Data
Norbert-Kathriner-Work

Large Language Models

Sessions.
Instead of searching.

But the new, exciting frontier lies in the sessions with large language models, which often last for hours. You don’t walk away as soon as brands, products, or services are mentioned or recommended—at least not right away. You use these sessions to build a foundation for your decision. I’m familiar with sessions like these: I myself spend nights interacting with an AI before making decisions about my own website.

What does the market offer companies that want to participate in these sessions? Most offer monitoring services. They use simulated chats to gather data, and they measure only the first response in a dialogue that could actually last for hours.

This allows them to assess a situation that exists only in AI Overviews—not in LLMs. They tell you whether you’re mentioned. Not whether what’s said about you is true, and not what you need to do to improve your company’s starting position. There are other tools for that, as well as a discipline called GEO.

Entitäten-Architektur
Wikidata
Bot Access Control

It’s no coincidence that GEO sounds like SEO.

Same methods.
Same business model.

GEO tools and services are based on a fundamental idea: “If we knew what people type into their search engines, we could provide the answer right on your website.”

What they're keeping quiet can't fit on a single page—but you're welcome to read about it at aivis-os.com.

GEO can improve on the initial answer. A decision will be made in the hours that follow.

During a session that lasts for hours, dozens of questions arise. No metric can predict them. What matters is a source that provides the same answer to each of these questions. The Aivis-OS offering describes what is needed to achieve this:

Aivis-OS makes your domain machine-readable.

It identifies inconsistencies on your website and corrects them. That’s because machines find every inconsistency and then have to guess or come up with their own version. And they end up looking for the answer elsewhere—not on your site.

Aivis-OS prepares your domain to be able to provide complete answers.

We don't decide what's needed based on gut feeling, but rather by filling in all the values required for an important customer query—according to Schema.org.

Aivis-OS generates domain-based structured data.

Not URL-based, like the kind you can get for free with simple plugins, but domain-based structured data. My advice: Stay away from URL-based structured data. By their very nature, they create new inconsistencies.

Aivis-OS also measures whether AI systems accurately represent you. But the measurement itself is not the product. It is the evidence.

How LLMs Make Decisions.

Who is being quoted?

The responses generated by an LLM are synthesized.

There is no ranking in LLMs. You can read about how detailed responses are generated in the article “Entity Recognition and Evidence Weighting.” If you don’t want to take the time to read it but still want to understand what goals you can realistically achieve, here’s a quick summary:

"Retain control over the interpretation of your own content and brand in the age of AI."

That’s exactly my goal. So if you want to protect the investment you’ve made so far in your digital communication; if what an AI actually says about you is more important to you than how often it mentions you; if you don’t want to be a footnote in an answer but the answer itself—well, then we share the same goal.

“Retain control over the interpretation of your own content and brand in the age of AI.”

Norbert Kathriner
Boutique for digital communication

Request a Compact Audit for Aivis-OS