The initial analysis revealed that signals for the algorithms were scattered. Despite the large scale of the initiative and the involvement of well-known individuals, information online lacked the structural foundations that would allow LLM models to fully understand the connections between the company and its charitable activities. There was a lack of a coherent descriptive language that linked the mission of the supported foundations with Hörmann's engagement, making it difficult for AI systems to generate precise recommendations.

Hörmann – „Leap into Life”. Building Authority for a Charitable Initiative in LLM Responses
Tionchar go hAchomair
175%
year-on-year visibility increase
+25
texts about the initiative
360 527 zł
funds raised during both editions
Sprioc Gnó
Hörmann is running the charitable initiative „Leap into Life”, supporting youth in foster care. In light of changes in information retrieval methods (AI Overviews, ChatGPT), the project's goal was to ensure the company has a lasting presence in generative responses. The aim was for AI models to clearly identify Hörmann's actions as a reliable source of knowledge and concrete support when queries about helping children or fostering youth independence arise.
Pointe Tosaigh
Colúin Cur i bhFeidhm
01. Semantic Expansion of the skokdozycia.pl Website
We implemented content designed for specific intents and meanings, rather than for keywords. The website was expanded with materials that precisely define concepts such as independence, foster care, and support for transitioning to adulthood. As a result, the site became a knowledge base from which AI models draw definitions and facts, automatically assigning Hörmann the role of the main organizer and expert in this area.
02. LLM Monitoring and Communication Guidelines
We established ongoing monitoring of how popular models (including ChatGPT) describe the initiative „Leap into Life”. Based on this, we developed guidelines for internal and external communication. This allowed for the unification of the message coming from the company, Ambassadors, and volunteers. Consequently, AI systems stopped receiving conflicting signals and began to recognize a coherent context of the company's collaboration with Ambassadors such as Adam Małysz and Magdalena Różczka.
03. External Signals and Context Validation
We ensured semantic consistency across three ecosystems: on the official initiative website, in communications sent to business partners (distributors), and in external media. We made sure that descriptions of the initiative at partner sites replicated the same meanings and contexts as on the homepage. For language models, this serves as proof of the authenticity and high standing of the company's actions, which translates into more frequent mentions of „Leap into Life” in responses to questions about charitable initiatives in Poland.
Torthaí
Conclúidí
This case demonstrates that in the age of AI, a company must primarily be understandable to algorithms. The initiative „Leap into Life” became a coherent informational structure. Thanks to Brand Semantics, Hörmann effectively embedded its charitable initiative in the memory of language models, ensuring its visibility wherever users seek answers through artificial intelligence.
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