We shape how AI represents you.
AI systems increasingly influence how organizations are understood - and the business decisions that follow.
Investors, customers, journalists, partners and employees are turning to AI for answers, often before visiting a website or speaking to a representative.
AI Perception Layering was created to help organizations understand how they are represented by AI systems, identify the business risks and missed opportunities within that representation, and actively shape it over time.
To help organizations take control of their Al perception and turn it into a competitive advantage.
We work with precision, not assumptions.
We align perception with business goals.
We build systems you own and control.
We shape perception
that drives real outcomes.
What we do
Our team combines expertise in communications, branding, structured data, technology, and digital strategy to help organizations shape how AI systems understand and represent them.
Our work focuses on the signals, sources, narratives, and machine-readable structures that influence AI-generated interpretation across search, LLMs, and knowledge systems.
Advisory Board
Professor Dr. Kai Eckert
Scientific Advisor | AI Representation & Large Language Models
Professor of Artificial Intelligence at Mannheim Technical University. His work focuses on knowledge graphs, semantic technologies, information extraction and large language models.
As Scientific Advisor to AI Perception Layering, he helps bridge cutting-edge AI research with practical frameworks for analysing and managing how organizations are represented by AI systems.
Jerrit Odewald
Strategic Advisor | Executive Networks & Strategic Positioning
Founder and Managing Partner of ONC Odewald Communication GmbH headqurtered in Berlin. Advises executives, companies and public institutions on strategic positioning and stakeholder engagement.
At APL, he helps connect AI Representation with executive decision-making and high-level stakeholder strategy.
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