
What we design in practice
- Content architectures for generative use
- Semantically clear text and knowledge structures
- Terminology systems and definitions
- Contextualization of statements and sources
- Relationships between topics and content
GEO use cases
- Corporate websites, product, and service information
- Knowledge platforms
- Thought leadership and expert content
- Organizations with complex service portfolios
LLM Visibility Check
We analyze whether and how your brand currently appears in AI-generated answers:
For which topics and questions are you mentioned? Which information is missing, outdated, or incorrect? How are you positioned? And how does your brand voice come across in AI responses?
Structure & Content Audit
We assess to what extent AI systems are able to understand your content.
Is your content clear, consistent, and unambiguous? Does your information provide the right context? Is it structured in a way that makes it accessible and interpretable for machines?
Technical & Semantic On-Page Optimization
We optimize the signals AI systems rely on to correctly interpret and contextualize your content. This includes improvements to information architecture, internal linking, semantic structures, and content formatting.
Brand & Entity Optimization
We identify the characteristics that truly differentiate your brand and strengthen these signals so that AI systems can recognize and represent your brand more clearly.
Optimized Content
Together with you, we develop content and structures designed to be read, understood, and cited by generative systems.
Let’s build systems that speak your brand, scale your communication, and turn interactions into measurable impact.
Locations: Cologne and Berlin.
