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OBOS – Nyproduktion av bostäder i hela Sverige — 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 Houses →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
hittamaklare.se ↗	52 match shared topic	Jämför mäklare i hela Sverige! — Hittamäklare	Sweden sv	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
lansfast.se ↗	44 match shared topic	Mäklare nära dig – Sälj eller köp bostad tryggt med oss \| Länsförsäkringar Fastighetsförmedling	Sweden sv	real-estate-buying-and-selling Umbraco	robotsllmsaihumans	emailphone	none
notar.se ↗	44 match shared topic	Mäklare Stockholm, mellansverige & Skåne - Notar Fastighetsmäklare	Sweden sv	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
bjurfors.se ↗	44 match shared topic	Mäklare. Köpa eller sälja bostad? Välkommen till Bjurfors.	Sweden sv	real-estate-buying-and-selling HubSpot CMS	robotsllmsaihumans	emailphone	none
fastighetsbyran.com ↗	37 match shared topic	Welcome to Fastighetsbyrån	sv	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
svenskfast.se ↗	37 match shared topic	Mäklare med 80 års erfarenhet. Vi skapar hållbara boendeliv \| Svensk Fastighetsförmedling	Sweden sv	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
nestorfastighetsmakleri.se ↗	37 match shared topic	Nestor Fastighetsmäkleri \| Din mäklare i Stockholms innerstad	Sweden sv	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
villaagarna.se ↗	37 match shared topic	Välkommen till Villaägarna	Sweden sv	real-estate	robotsllmsaihumans	email phone	none
maklarhuset.se ↗	37 match shared topic	Mäklare & Fastighetsmäklare - Mäklarhuset	Sweden sv	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
skandiamaklarna.se ↗	37 match shared topic	Mäklare med hög kundnöjdhet och fri värdering \| SkandiaMäklarna	Sweden sv	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
husmanhagberg.se ↗	37 match shared topic	Mäklare & Fastighetsmäklare - HusmanHagberg	Sweden sv	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
karlssonuddare.se ↗	37 match shared topic	Karlsson & Uddare \| Din lokala Mäklare i Stockholm	Sweden sv	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
jm.se ↗	33 match shared topic	Nyproduktion av hållbara bostäder med bra lägen \| JM	Sweden sv	houses	robotsllmsaihumans	emailphone	none
boupplysningen.se ↗	29 match shared topic	Boupplysningen » Sveriges största bostadsguide	Sweden sv	real-estate-renting-and-leasing WordPress	robotsllmsaihumans	emailphone	none
objektvision.se ↗	28 match shared topic	Lediga lokaler och fastigheter till salu - objektvision.se	Sweden sv	real-estate	robotsllmsaihumans	emailphone	partial · 3
boneo.se ↗	26 match shared topic	Boneo - Bostadsportal med flest kommande bostäder till salu	Sweden sv	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
marketplace.se ↗	21 match shared topic	Marketplace.se - Sveriges portal för nyheter, sport, ekonomi, resor, recept och smarta tjänster	Sweden sv	real-estate	robotsllmsaihumans	emailphone	none
lantmateriet.se ↗	18 match shared topic	Lantmäteriet – vi känner till varenda plats i Sverige. \| Lantmäteriet	Sweden sv	land-and-farms	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.