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LAT, the Voice of Texas' Building Materials Industry - Lumbermen's Association of Texas — 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 Construction Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
lancasterbuilders.org ↗	70 match 1 shared topics	Building Industry Association of Lancaster County (BIA)	United States~ en	construction-industry WordPress	robotsllmsaihumans	email phone	none
herculesbm.com ↗	68 match 1 shared topics	Hercules International Building Materials	en	construction-industry	robotsllmsaihumans	email phone	none
shujatrading.com ↗	67 match 1 shared topics	Al Shuja Building Materials	en	construction-industry	robotsllmsaihumans	email phone	none
landmarkbmt.com ↗	67 match 1 shared topics	Landmark Building Materials Trading	en	construction-industry	robotsllmsaihumans	emailphone	none
confidentuae.com ↗	67 match 1 shared topics	Confident \| Building Materials Trading	en	construction-industry	robotsllmsaihumans	emailphone	none
concrete-info.com ↗	67 match 1 shared topics	Concrete Information - Concrete is one of the most Efficient & most of the times using building materials in all-over the worldwide.	en	construction-industry WordPress	robotsllmsaihumans	emailphone	none
estimateinc.com ↗	67 match 1 shared topics	Residential Lumber & Building Material Estimating Software	en	construction-industry	robotsllmsaihumans	emailphone	none
krafthausme.com ↗	67 match 1 shared topics	Krafthaus \| Best Building Materials Suppliers in UAE	en	construction-industry OpenCart	robotsllmsaihumans	email phone	none
mca-ca.org ↗	67 match 1 shared topics	Mason Industry Representation \| Mason Contractors Association of California	en	construction-industry WordPress	robotsllmsaihumans	email phone	none
battlecreekhomepage.com ↗	67 match 1 shared topics	Home Builders Association of Western Michigan	en	construction-industry Wix	robots llmsaihumans	emailphone	none
kptas.com ↗	67 match 1 shared topics	KPTAS \| Specialized Building Materials	en	construction-industry	robotsllmsaihumans	emailphone	partial · 8
shunqicai.com ↗	67 match 1 shared topics	Chongqing Shunqicai Building Materials Co., Ltd	en	construction-industry	robotsllmsaihumans	emailphone	none
baycompanies.com ↗	66 match 1 shared topics	The Bay Family of Companies \| Wholesale Building Materials	en	construction-industry WordPress	robots llmsaihumans	emailphone	none
alasr.pk ↗	66 match 1 shared topics	AlASR – Construction & Building Material Marketplace	en	construction-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
concrewallusa.com ↗	66 match 1 shared topics	SCIP Construction Building Materials \| Fortified Structural Solutions	en	construction-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
shreesaitradersstore.com ↗	66 match 1 shared topics	Shree Sai Traders \| Quality Construction & Building Materials Supplier	India~ en	construction-industry	robotsllmsaihumans	emailphone	none
mbpta.org ↗	66 match 1 shared topics	Minnesota Building Permit Technicians Association \| ICC Chapter	en	construction-industry WordPress	robotsllmsaihumans	emailphone	none
moosabm.com ↗	66 match 1 shared topics	Moosa Building Materials UAE – Quality You Can Build On	en	construction-industry WordPress WooCommerce	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.