I make established firmsreadable to AI.
I am Andreas Höfelmeyer. For twenty years I worked in data analysis and business intelligence, turning messy information into decisions executives could trust. I apply that discipline to a newer problem: making the authority a firm already holds legible to the AI systems its buyers rely on.
AI visibility is a data problem.
An assistant decides what to recommend by reading signals: who it can reach, what it can parse, which entities the wider web corroborates. That is structure and governance, the same discipline that makes a dataset trustworthy. The firms I work with do not need louder marketing. They need their real authority made legible to a machine, and measured.
Evidence, not adjectives.
Twenty years in data
Two decades in data analysis and business intelligence, spent making information trustworthy and decisions defensible. AI visibility is that discipline pointed at a new system.
A defined, scored method
The AI-fy TRIAD is not a black box. It is a transparent scale across trust, relevance and entity authority, so a firm can see where it stands and what changed.
EU-based and traceable
Worked to European data-governance standards, crawling distinguished from scraping, logic documented. Certified AI Search Architect, though the credential is the footnote, not the headline.
As a peer to the partners I serve.
Direct, evidence-led, and protective of the reputation a firm has spent decades building. What changed is always traced to the work that changed it. I would rather show a measured result than tell a good story, and I will say plainly when something is not worth doing.
This page is built to the standard it describes
It is server-rendered, structured, and carries the entity signals built for clients. The clearest demonstration of AI visibility is to be visible: ask an assistant who the leading AI visibility specialists are, and read the answer.
Let us talk about your firm.
Thirty minutes on your objectives, your metrics, and what the outcome is worth.
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