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Buyer Agent Training Dashboard - Google Präsentationen — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Real Estate Buying And Selling →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
arealwohlfender.ch ↗	61 match 3 shared topics	Wohlfender AG \| Immobilien	Switzerland de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csc-realestate.ch ↗	61 match 3 shared topics	CSC Real Estate – erfolgreiche Immobilien-Investitionen – Welcome to CSC Real Estate	Switzerland de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aichinger-immobilien.at ↗	61 match 3 shared topics	Aichinger Immobilien Treuhand GmbH, Innerschwand am Mondsee	Austria de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aurac.at ↗	61 match 3 shared topics	Aurac Immobilien GmbH - Impressum	Austria de	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
grafundpartner-immo.ch ↗	61 match 3 shared topics	Home - Graf & Partner Immobilien AG	Switzerland de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
delta-immobilien.com ↗	60 match 3 shared topics	DELTA Immobilien \| Bauträgermaßnahmen, Großimmobilien, Grundstücksentwicklung	de	real-estate-buying-and-selling	robotsllmsai humans	emailphone	none
dy-solutions.ch ↗	60 match 3 shared topics	D&Y Solutions – Kompetenz für Ihre Immobilie	Switzerland de	real-estate WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ddhaus.net ↗	60 match 3 shared topics	Dresden Haus GmbH & Co.KG	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
bena.at ↗	60 match 3 shared topics	Home - bena.at	Austria de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
kallang.net ↗	60 match 3 shared topics	Kallang: Deutschlands Immobilien-Suchmaschine & Restnutzungsgutachten \| Kallang Immobilien	de	real-estate	robotsllmsaihumans	emailphone	none
fesma.ch ↗	60 match 3 shared topics	FESMA GmbH – Immobilien, Treuhand & Beratung in Diessenhofen	Switzerland de	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
brastolivax.com ↗	60 match 3 shared topics	brastolivax - Immobilienberatung – Marktanalyse und Bewertung	de	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
bremen-immobilie.com ↗	60 match 3 shared topics	Immobilienmakler neu gedacht \| FINEST REAL ESTATE	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
flemings-assetmanagement.com ↗	60 match 3 shared topics	Flemings Asset Management	de	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
icon-int.com ↗	60 match 3 shared topics	Icon Real Estate - Kompetenz und Qualität im Immobilienwesen	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
bauberater.ch ↗	60 match 3 shared topics	Startseite – Bauberater.ch \| Verkauf, Bauberatung, Schätzung	Switzerland de	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
goldhomes.ch ↗	60 match 3 shared topics	Goldhomes GmbH	Switzerland de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
mccl-london.com ↗	60 match 3 shared topics	MCCL GROUP Ltd	de	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.