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Houses made of wood using modern technologies | Lafethouse — 12 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
housemodule.net ↗	61 match 2 shared topics	Модульные дома в Башкирии \| House Module	ru	houses	robotsllmsaihumans	email phone	none
hitech-house.com ↗	61 match 2 shared topics	Красивые современные дома и коттеджи::HITECH HOUSE	ru	houses Concrete5	robotsllmsaihumans	emailphone	none
darinadom.com ↗	60 match 2 shared topics	Строительство загородных домов из бруса, строительство каркасных домов	ru	houses Joomla	robotsllmsaihumans	email phone	none
fahwerk.com ↗	60 match 2 shared topics	Мой сайт – Описание моего сайта	ru	houses WordPress WooCommerce	robotsllmsaihumans	email phone	none
family-dom.com ↗	60 match 2 shared topics	Семейный дом. Строительство каркасных домов	ru	houses	robotsllmsaihumans	email phone	none
2index.net ↗	30 match 1 shared topics	Гостевой дом	ru	houses WordPress	robotsllmsaihumans	emailphone	none
ergodom.kz ↗	30 match 1 shared topics	Первый органический дом в Казахстане	ru	houses	robotsllmsaihumans	email phone	none
briks-park.com ↗	30 match 1 shared topics	Коттеджные поселки и строительство в Московской области \| Poselok.online	ru	houses Weebly	robotsllmsaihumans	email phone	none
medovoe.com ↗	30 match 1 shared topics	Медовое – дома в эксклюзивном поселке de luxe	ru	houses	robotsllmsaihumans	emailphone	none
barviha21.net ↗	20 match 1 shared topics	Барвиха 21 — купить дом в коттеджном посёлке Барвиха XXI	ru	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
visota-ufa.com ↗	20 match 1 shared topics	Коттеджный посёлок «Высота» — купить дом в Иглино, р-ка Башкортостан	ru	houses Bitrix	robotsllmsaihumans	emailphone	none
1dayhouse.com ↗	20 match 1 shared topics	DOM за 1 день	ru	real-estate-buying-and-selling	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.