Articles / Obsah
ObsahLanguage models read differently than people. We advise how to structure text, sentences and facts so that AI easily grasps them and uses them in its answer.
A chatbot does not read text like a human. It does not care about a snappy intro or a punchline at the end – it breaks text down into facts, relationships and entities and looks for what it can use as an answer. If you want AI to cite you, you have to make that job as easy as possible. The good news is that content a model understands tends to be clearer for the reader too – so it is not a compromise between people and machines.
The basic principle is: every heading deserves a clear answer in the very first sentence, and only then the elaboration. That way the model immediately finds “what is the answer to this question” and can take it. The inverted pyramid – conclusion first, details later – works for AI and for an impatient reader on a phone alike.
Models can rephrase what already exists somewhere. What they cannot do is your own experience, fresh data and concrete examples from practice. Those are exactly what make content citable and set it apart from a thousand similar articles. One original chart, one internal statistic or one real story from a project is worth more than three paragraphs of generic introduction that the model knows from fifty other sites.
Formulations like “we are a market leader” or “we provide tailored solutions” say nothing to the model or the customer. Replace them with a verifiable fact: “We have run more than 12,000 campaigns for 800 clients.” Verifiable facts get cited far more often and build trust as well. A simple test: before you send a sentence, ask whether it could be cited on its own, out of context. If not, rewrite it.
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