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Anyone exploring AI visibility will quickly come across terms like LLM, grounding, or sentiment. In technical articles, these terms are often assumed to be familiar, as if everyone immediately knew what they mean. That’s rarely the case—and it doesn’t have to be. Here, we explain the most important terms related to AI systems in a way that you can understand them without having to become a tech expert yourself. And most importantly, we’ll show you what each term specifically means for your business.
What exactly is an LLM—and why does it sometimes make things up?
LLM stands for “Large Language Model.” This is the technology behind ChatGPT, Google Gemini, and Claude. Think of an LLM as an extremely well-trained autocomplete feature: The system has read vast amounts of text and, in doing so, has learned which word is most likely to come next in a given context. So it doesn’t “know” in the human sense—it estimates, word by word, what sounds most plausible at that moment.
This is precisely what gives rise to a well-known weakness: so-called “hallucination.” This refers to a situation where an AI provides an answer that sounds absolutely convincing linguistically but is simply incorrect in terms of content. This happens especially when the system doesn’t draw on a reliable external source but responds purely based on its trained linguistic intuition. For you as a business, this means: The clearer and more unambiguous your content is online, the less room there is for the AI to make things up about you.
Tokens and Chunks: How AI Reads Text in the First Place
AI doesn’t read a text in one go from start to finish like a human does. It first breaks it down into tokens—small units of language, often individual words or parts of words. You can think of them as individual Lego bricks that make up every sentence.
When an AI searches the internet to back up an answer, it doesn’t read your entire website all at once; instead, it breaks the content down into so-called “chunks”—larger, self-contained sections of meaning, comparable to individual finished structures made from several LEGO bricks, such as a complete wall or a roof. Each chunk should be understandable on its own, without the need to know the rest of the text.
What does this mean in practice for your website or blog? Write in clearly defined paragraphs, each of which brings a single idea to a conclusion, and use meaningful subheadings. This not only helps your human readers skim through the content quickly, but also makes it much easier for AI to grasp individual sections of your content and use them later as responses.
Vector Embeddings: Why It’s No Longer Just About the Right Keyword
In the past, search engines essentially looked for exact words. Modern AI systems go a step further: they try to grasp the meaning behind a word or phrase. The method used for this is called vector embedding. Put simply, the AI translates every piece of content—a word, a sentence, even an image—into a kind of coordinate on a vast mental map. Content with similar meanings ends up close together, while topics that are far apart in terms of content are spaced far apart.
A classic example: The word “Jaguar” can refer to a car or a big cat. Thanks to vector embeddings, an AI can infer from the rest of the sentence—for example, if terms like “acceleration” or “horsepower” are mentioned—that the car is clearly what’s being referred to, and returns appropriate results instead of information about the big cat.
For your business, this means: It’s no longer worth stubbornly repeating a single keyword over and over again. It’s more important to cover a topic clearly and from multiple perspectives so that the AI can clearly recognize what you stand for and in which thematic context your content belongs.
Grounding: The moment when a mention becomes a quote
Not every AI response is based on actual research. Sometimes the system simply responds based on what it learned during training. However, when a query requires current, local, or very specific information—such as a year, a location, or a comparison—this often triggers a process called “grounding”: The AI then specifically searches the web for relevant, up-to-date sources and bases its answer on them.
This is the crucial moment for your visibility. Only when a grounding process takes place can your website even be cited and linked to as a source. Without this step, your name will remain merely an unsubstantiated mention in the AI’s training data—if it’s mentioned at all. Your goal should therefore be to provide content that qualifies as a helpful, verifiable source precisely for such questions related to current events or specific locations.
Query Fan-out: How One Query in the Background Becomes Many
When someone asks an AI for “the best running shoes for a marathon,” the system rarely processes the question word for word. Instead, it automatically breaks the question down into several related sub-questions in the background—such as cushioning, user reviews, or price comparisons—and searches multiple sources simultaneously. Only after compiling all these partial results does the AI then put together a summary answer. This technique is called query fan-out.
For you as a company, this means: It’s not enough to simply have a good answer to the one obvious main question your target audience has. What stands out is who covers the entire range of topics surrounding an issue—including the obvious follow-up questions that customers ask themselves before making a decision.
Sentiment: The tone in which the AI talks about you
Sentiment describes the tone with which an AI system speaks about your brand or your company—positive, neutral, or negative. Is your company described as “a leading solution,” as “one possible option among many,” or does the response sound more critical? All of this shapes how potential customers perceive you, even before they’ve visited your website.
Negative sentiment often arises when critical reviews or poor ratings are found online, which the AI then uses as a basis. The reverse is also true: Companies that actively work to generate positive, visible customer testimonials and maintain a clean public image also increase the likelihood that AI systems will report favorably on their company.
How We Can Help You
Keeping these concepts in mind is one thing—translating them into a strategy that works for your business is quite another. That’s exactly where we at Gestaltung unserer Tage come in: We develop citable, clearly structured content for your website, ensure that your brand is mentioned in the right places online, and use monitoring tools to keep track of how and in what tone AI systems are currently talking about you. Just email us at info@g-u-t.de if you’d like to know where your business currently stands.
Frequently Asked Questions
As a business owner, do I need to understand these technical terms in detail?
No, a basic understanding is more than enough. What’s important is that you can understand why certain content on your website is more or less suitable for AI systems—you can confidently leave the technical implementation to the specialists.
What is the difference between an LLM and a chatbot like ChatGPT?
The LLM is the technical foundation—that is, the language model itself. ChatGPT, Perplexity, and Google Gemini are products or platforms that use one or more of these language models and supplement them with additional features such as web search.
Why do AI systems invent false information in the first place?
Because, without conducting targeted web searches, they simply provide the statistically most likely word based on their training data. Just because an answer sounds plausible doesn’t automatically mean it’s correct.
What does grounding have to do with my visibility in ChatGPT?
Only when an AI query triggers a grounding process does the system actively search the web for sources—and only then can your website be cited and linked to as a source.
How does “Gestaltung unserer Tage” support companies in this area?
We create content that can be cited, ensure appropriate mentions and links online, and use specialized tools to monitor how AI systems talk about your brand. Contact us at info@g-u-t.de for an initial assessment.
