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Descubra os Melhores Serviços Imobiliários em Lisboa Estudo do Valor de Mercado do seu Imóvel Sem custo / Ábaco KW Portugal / Keller Williams Real Estate — 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
mercadoimobiliario.net ↗	65 match 2 shared topics	Mercado Imobiliário - onde as notícias e os negócios estão!	pt	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
armandogomesrealestate.com ↗	64 match 2 shared topics	Consultor Imobiliário \| Armando Gomes Real Estate \| Vila Real De Santo António	pt	real-estate-buying-and-selling Wix	robots llmsaihumans	email phone	none
yuriyproperties.com ↗	64 match 2 shared topics	Yuriy Properties \| Luxury Real Estate Portugal & Dubai	pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
nunovenceslau.com ↗	64 match 2 shared topics	Nuno Venceslau – Imobiliária de Luxo & Soluções 360° em Portugal	pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ktimobiliaria.com ↗	63 match 2 shared topics	K&T - Mediação Imobiliária em Portimão - Praia da Rocha	Portugal~ pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
nunesimoveis.com ↗	63 match 2 shared topics	Imobiliária em Saquarema \| Nunes Soluções	pt	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
syphentivara.com ↗	63 match 2 shared topics	Syphentivara - Guia de análise de imóveis em Portugal, com foco na clareza e na imparcialidade.	pt	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
oconsultortomaz.com ↗	62 match 2 shared topics	Consultor Imobiliário de Luxo \| Tomaz e Century21 \| O Consultor Tomaz	pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
exclusive-property.eu ↗	62 match 2 shared topics	Property Portugal	European Union pt	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
octahouseimoveis.com ↗	61 match 2 shared topics	Octa House Imóveis	pt	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
mercadaolitoral.com ↗	61 match 2 shared topics	Mercadão Litoral	pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
eliterepartner.com ↗	60 match 2 shared topics	Elite Partner	pt	real-estate WordPress	robotsllmsaihumans	emailphone	none
numerosrepartidos.com ↗	60 match 2 shared topics	Números Repartidos	pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
odonovende.com ↗	60 match 2 shared topics	O dono Vende!?	pt	real-estate-buying-and-selling WordPress	robots llmsaihumans	emailphone	none
clavellepropiedades.cl ↗	60 match 2 shared topics	Clavelle Propiedades	Chile pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
mercadoimobiliario.xyz ↗	44 match 2 shared topics	Mercado Imobiliário XYZ - Tudo sobre o Mercado Imobiliário Brasileiro	pt	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
seekimoveis.com ↗	43 match 2 shared topics	seekimoveis.com – Seu Imóvel Aqui	pt	real-estate-renting-and-leasing WordPress WooCommerce	robots llmsaihumans	emailphone	none
unytimobiliaria.com ↗	43 match 2 shared topics	UNYT Imobiliária	pt	houses 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.