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In a nutshell: AI visibility (GEO, Generative Engine Optimization) refers to measures that ensure companies are correctly mentioned in responses from ChatGPT, Perplexity, and Google AI Overviews. Technical preparations such as robots.txt and Schema markup are a prerequisite for this, but they are not sufficient on their own. Two things are crucial: a systematic prompt strategy that identifies the questions your target audience is actually asking, and ongoing monitoring to track success.
A question we’re often asked: “Are we already AI-visible?” The honest answer: Technically, often yes; strategically, it usually hasn’t been evaluated yet.
GEO is more than just a technical “check-the-box” project
AI visibility is often treated like a technical SEO update: enable bots, add a bit of Schema.org, and you’re done. This ensures that an AI can read your website at all. But it doesn’t guarantee that it will mention you when someone asks.
The difference can be determined by asking a simple question: If a potential customer asks ChatGPT, “Which provider in my area would you recommend for X?”—does your company appear in the answer?
Keywords are not prompts
In traditional search engine optimization, people think in terms of keywords: short, fragmented search terms like “dentist Nuremberg.” AI systems are queried differently—in complete sentences, often with context: “Which dentist in Nuremberg is well-suited for anxious patients and has appointments available on short notice?”
These complete questions are called prompts. Google AI Overviews are the exception: Here, traditional SEO keywords remain relevant because they are incorporated into the search results.
The process of developing realistic prompts involves three steps: defining target audiences and personas, gathering their actual questions and concerns, and using them to create specific, naturally worded prompts. These prompts are then prioritized based on purchase intent and likelihood of being quoted.
Without monitoring, there is no evidence
Even when the content and technology are right, hardly anyone regularly checks whether that actually translates into results. The principle: Before the project begins, a fixed set of prompts is defined and tested—the so-called baseline. After several months of work on content and technology, the same prompts are tested again. The difference between the two measurements is proof that something has changed.
“We’ve improved your AI visibility” is a statement. “You now appear in 14 out of 20 prompts we tested; previously, it was 3” is evidence.
Frequently Asked Questions About AI Visibility
What is the difference between SEO and GEO?
SEO aims to achieve a high ranking in traditional search results. GEO aims to ensure accurate and complete inclusion within an AI-generated response.
Is a technical setup like robots.txt sufficient for AI visibility?
No. The technical setup only allows AI systems to read a website. Whether the brand is actually mentioned in the responses also depends on content quality and a targeted prompt strategy.
What is the difference between a prompt and a keyword?
A keyword is a short search term. A prompt is a complete, naturally phrased question or instruction, such as those users ask an AI system.
How can the success of GEO measures be measured?
By taking a baseline measurement of selected prompts before the project begins and repeating the measurement after a few months. The difference shows the actual effect of the measures.
Are traditional SEO keywords useless for GEO?
Not entirely. Traditional keywords remain relevant for Google AI Overviews, since these answers are integrated directly into the search results.
