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Trä- och Möbelföretagen — 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 Manufacturing Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mc-bauchemie.se ↗	55 match shared topic	Hemsida - MC-Bauchemie	Sweden sv	construction-industry	robotsllmsaihumans	emailphone	none
teckentrup.se ↗	47 match shared topic	Portar från Teckentrup - Garageportar, dörrar och industriportar	Sweden sv	mechanical-and-industrial-engineering-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
byggforetagen.se ↗	38 match shared topic	Byggföretagen \| Vi bygger Sverige på schyssta grunder	Sweden sv	construction-industry WordPress	robotsllmsaihumans	emailphone	none
skanska.se ↗	38 match shared topic	Bygg, infrastruktur och fastigheter \| Skanska i Sverige	Sweden sv	construction-industry	robotsllmsaihumans	emailphone	none
ncc.se ↗	38 match shared topic	Bostäder, Lokaler, Byggnader och Infrastruktur \| NCC	Sweden sv	construction-industry	robotsllmsaihumans	emailphone	none
granitor.se ↗	38 match shared topic	Granitor skapar välmående samhällen och industrier \| Granitor	Sweden sv	construction-industry	robotsllmsaihumans	email phone	none
algeco.se ↗	38 match shared topic	Algeco \| Vi skapar smarta rum för människor att leva, jobba och lära i	Sweden sv	construction-industry Drupal	robotsllmsaihumans	emailphone	none
europa-entreprenad.se ↗	38 match shared topic	Europa-Entreprenad.se - Köp och sälj på lätt sätt dina byggmaterial\|anläggningsmaterial!	Sweden sv	construction-industry	robotsllmsaihumans	emailphone	none
gbf.se ↗	38 match shared topic	Glasbranschföreningen \| Bransch- och arbetsgivarorganisation	Sweden sv	manufacturing-industry Drupal	robotsllmsaihumans	emailphone	none
herma.se ↗	38 match shared topic	HERMA - Varumärket för etiketter, etiketteringsmaskiner och självhäftande material	Sweden sv	manufacturing-industry TYPO3	robotsllmsaihumans	emailphone	none
lindab.se ↗	38 match shared topic	Lindab \| Kvalitetsprodukter inom ventilation, plåt och bygg	Sweden sv	construction-industry	robotsllmsaihumans	emailphone	none
runelandhs.se ↗	38 match shared topic	Runelandhs - Kontorsmöbler och inredning för industri och verkstad \| Runelandhs	Sweden sv	manufacturing-industry	robotsllmsaihumans	email phone	none
traguiden.se ↗	38 match shared topic	TräGuiden - En digital handbok för trä och träbyggande.	Sweden sv	construction-industry	robotsllmsaihumans	email phone	none
borga.se ↗	38 match shared topic	Bygg bekymmersfritt - Tryggt, snabbt och med hög kvalitet \| BORGA	Sweden sv	construction-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
isolamin.se ↗	38 match shared topic	Isolamin – Byggmoduler och sandwichpaneler	Sweden sv	construction-industry WordPress	robotsllmsaihumans	email phone	none
jij-plast.se ↗	38 match shared topic	Formsprutad plast, komponenter och systemlösningar \| JIJ-Plast	Sweden sv	manufacturing-industry WordPress	robotsllmsaihumans	emailphone	none
lambertsson.com ↗	38 match shared topic	Uthyrning inom bygg, anläggning och industri - Lambertsson	sv	construction-industry	robotsllmsaihumans	emailphone	none
tensar.se ↗	28 match shared topic	Geonät, produkter och lösningar \| Tensar	Sweden sv	civil-engineering-industry	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.