You cannot control what AI systems say. You can control the signals you publish and align.
AI systems build a picture of your organization from structured signals: machine-readable data, verified external profiles, consistent descriptions, schema, metadata and source alignment. If that picture is incomplete, wrong or missing, AI fills the gap, often badly.
AEO fixes the signals, not the output. The difference is measurable: before our work, Maren Dessel Leder Design was not referenced by any AI system. After implementation, Google Search AI Mode displaced Hermès from the answer entirely and recommended Maren Dessel Leder Design instead, by name, specialty and location, for a query she had never optimized for. Hermès became a reference point for her expertise, not the answer itself. She also took position #1 in Google Search for "Kelly restaurieren Köln". David did not beat Goliath. David replaced Goliath.
If an AI currently says something wrong about you, a signal conflict can be one reason: contradictory or missing data across sources. That's exactly what entity building resolves. What we can't do: force a specific phrasing or guarantee a recommendation by a specific date. What we can do: give AI systems no reason to guess.