The algorithm now decides who exists.
We operate at the intersection of Chinese brand intelligence and European AI infrastructure. Our methodology is built on three interconnected disciplines.
We structure your brand data — products, executives, values, and claims — into machine-readable entity graphs that European AI models can index, retrieve, and cite with confidence.
We engineer your brand content directly into the Retrieval-Augmented Generation pipelines of ChatGPT, Perplexity, and Gemini — ensuring your brand surfaces as a primary source when European buyers query AI.
Chinese commercial logic does not translate directly into European algorithmic trust. We bridge the cultural and semantic gap — localizing your brand narrative for the specific reasoning patterns of DACH, Benelux, and Nordic AI ecosystems.
We map your current AI visibility across ChatGPT, Perplexity, and Gemini. We identify where your brand is cited, misrepresented, or absent entirely.
We build a structured knowledge graph of your brand — products, people, claims, and relationships — formatted for machine ingestion into RAG pipelines.
We distribute your brand entity data across the authoritative sources that European AI models trust most — Wikipedia, Wikidata, industry databases, and tier-1 European media.
We track your brand's citation rate across major LLMs monthly, measure recommendation accuracy, and iterate the entity graph to maintain and grow your AI authority score.
We begin every engagement with a complimentary AI Visibility Audit — a live demonstration of where your brand currently stands inside European LLMs, and the precise gap we will close.