AI Visibility Check
We ask 20 to 30 real questions from your market to ChatGPT, Gemini, Perplexity, and Copilot. You receive the raw data, see who is mentioned instead, and which sources the models cite.
AI visibility
More and more people are no longer asking their questions on Google, but directly to an AI assistant. The answer then names two or three providers, not ten blue links. Whoever is missing there does not even exist for these seekers.
Generative Engine Optimization, or GEO for short, ensures that a language model understands your company as a clearly recognizable, verifiable source. To achieve this, it needs three things: clean technical foundations, a consistent identity across all sources, and content that can be cited.
We don't just analyze, we implement. Because we develop and operate WordPress websites ourselves, the measures go directly onto your site instead of into a PDF that your team would then have to implement.
Six building blocks that together determine whether an AI system will mention you.
We ask 20 to 30 real questions from your market to ChatGPT, Gemini, Perplexity, and Copilot. You receive the raw data, see who is mentioned instead, and which sources the models cite.
We check whether AI crawlers are even capturing your content: access via robots.txt, rendering without JavaScript, load times, and an llms.txt as an entry point for language models.
Company name, address, phone number, and description must be identical everywhere: website, Google Business Profile, commercial register, directories. Inconsistencies are the most common reason why a model prefers to name someone else.
We are building a connected schema graph instead of individual fragments. For educational providers, this includes courses and course dates; for service providers, services; and for everyone, questions and answers.
Questions as headings, short paragraphs that are also understandable on their own, and concrete details instead of marketing language. A model can adopt a number, but not the claim that something is individual.
We measure the same set of questions again on a quarterly basis and show the change. If a model tells outdated or incorrect things about you, we correct the source.
Step 1
We measure your starting point and provide a list of measures sorted by effort and impact. If you commission the implementation afterwards, we will credit the cost of the check.
Step 2
We implement the measures directly in your website: technology, structured data, identity across all sources, and the most important pages in an answer-ready format.
Step 3
At your request, we will continue to monitor the development on a quarterly basis, as a supplement to your Service pack or to the ongoing SEO support.
Nobody can guarantee that a language model will mention a specific company. The models are constantly changing, and their selection cannot be controlled from the outside. What we can guarantee is a clean starting position and a measurement that shows whether anything is moving.
AI Visibility Check
flink think GmbH, Pratteln
Exemplary illustration
GEO stands for Generative Engine Optimization. The goal is not a ranking in a list of results, but rather for AI systems like ChatGPT, Gemini, or Perplexity to mention your company in their responses and cite it as a source. The terms LLMO, AEO, and AI visibility are also widely used. They all mean the same thing.
No. A technically clean, well-structured website is the prerequisite for both, and many AI answers rely on pages that also perform well on Google. GEO is an addition, it doesn't replace SEO. Why search is currently changing fundamentally is what we explained in the article Google is redesigning Search described.
By regularly running a fixed set of questions through the models and logging whether and how you are mentioned and which sources are cited in the process. Additionally, traffic from AI tools can be analyzed in Google Analytics or Matomo. An official metric like the Google Search console report does not yet exist for this.
As with our other services, we work on a fixed hourly rate. The effort depends on the size of your website, the existing data quality, and your industry. Before we start, you will receive a non-binding offer.
Technical fixes take effect quickly because the models continuously re-read their sources. Experience shows that it takes several months for mentions to change stably. Therefore, we measure on a quarterly basis instead of weekly.
Especially when your customers research and ask questions before making a decision instead of typing in product names. For educational providers, non-profits, and service-intensive SMEs, this is the norm. Those who attract walk-in traffic through price have more urgent issues to address.