richresults.ai what is AEO how it works who it's for case studies Get in touch →
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

From invisible to
recommended by
Google AI Search Mode

Query tested: "Kelly Bag restaurieren Köln" (Kelly Bag restoration Cologne). Before AEO implementation, this query in Google Search returned only the Hermès brand. No local specialist was recommended. After entity building and AEO implementation, the result changed completely.

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.

This is pre-conversion. The client was recommended by
name, specialty, and location, for a query she had never
optimized for, in a category where only a global luxury brand
had previously appeared. That recommendation happened
before a potential client typed a single word into a contact form.

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.

Get started

What would AI
say about you?

Let's find out — and fix it. Ask AI right now. Then let's talk.