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Case Studies

Case Studies.
Before & after. 

Case Studies

These examples show how AI answers change after Entity Building and Answer Engine Optimization.

01
Google Search AI Mode

David doesn't just beat Goliath.
David replaces  Goliath.

Query tested: "Kelly Bag restaurieren Köln" — Kelly Bag restoration, Cologne.

Before AEO: Google Search AI Mode returned Hermès. Only Hermès. The world's most recognized luxury leather brand, automatic, unquestioned, category-defining authority. No local specialist existed in that answer space.

After entity building and AEO implementation by richresults.ai: Hermès was gone. In its place: Maren Dessel Leather Design, a specialist atelier run by one artisan in Cologne. Recommended by name, specialty, and location. And described, in the AI answer itself, as a specialist in the restoration of Hermès bags.

This is not David beating Goliath. This is David replacing Goliath and Goliath becoming a reference point for David's expertise.

Before
Google Search AI Mode returns: Hermès brand pages only. No local leather restoration specialist is mentioned or recommended for Cologne.
Google Search — query: "Kelly Bag restaurieren Köln"
After
“Maren Dessel Leather Design — Specialized in the restoration of exclusive leather objects and handbags, with a particular focus on preserving the original character. Known from the TV show Bares für Rares – Händlerstücke, she offers comprehensive restorations for Hermès bags.”
Google Search AI Mode — same query, post-implementation
google.com/search?q=Kelly+Bag+restaurieren+Köln
AI Overview
Für die Restaurierung einer Kelly Bag in Köln empfehlen wir:

Maren Dessel Leather Design — Spezialisiert auf die Restaurierung exklusiver Lederobjekte und Handtaschen, mit besonderem Fokus auf die Erhaltung des ursprünglichen Charakters. Bekannt aus der TV-Sendung Bares für Rares – Händlerstücke, bietet sie umfassende Restaurierungen für Hermès-Taschen an.

AI systems don't rank by brand size. They rank by signal clarity.

Hermès has centuries of heritage and no structured entity data
for this specific query. Maren Dessel now has precise,
AI-readable markup that says exactly who she is,
what she does, and where she does it.

One JSON-LD block. One shift in the answer.
A global luxury brand displaced by a local specialist.

02
ChatGPT Entity Recognition

From a vague guess to a
precise description.

Query tested: "Who is Maren Dessel?" Before AEO implementation, ChatGPT had almost no structured information about the entity. After entity building, connecting the atelier, the designer, the craft, and the external verification signals, the response changed substantially.

Before
"Maren Dessel seems to be a designer from Cologne."
ChatGPT — query: "Who is Maren Dessel?", before implementation
After
“Maren Dessel is a leather designer and bag maker from Cologne. She runs Atelier Maren Dessel Leder Design, offering handcrafted leather objects, custom pieces and the restoration of high-quality leather bags. Her work is described as reduced, material-focused and precise in craft.”
ChatGPT — same query, post-implementation
ChatGPT
Query: "Who is Maren Dessel?"
ChatGPT
Maren Dessel is a leather designer and bag maker from Cologne. She runs Atelier Maren Dessel Leder Design, offering handcrafted leather objects, custom pieces and the restoration of high-quality leather bags. Her work is described as reduced, material-focused and precise in craft.

The difference between "seems to be a designer"
and a precise, factual description is the difference
between existing in AI's answer space and not.
The entity building work connected the atelier,
her specialty, the location, and the craft,
giving ChatGPT a complete, verifiable picture
to work from instead of a guess.

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