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Acecue alternatives & similar sites

Technology & IPR — 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 Industrial Property →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
abuborhan.com ↗	64 match 1 shared topics	Abuborhan Institute of Intellectual Property and Technology \| Consulting and specialized services	en	industrial-property WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fenceip.com ↗	64 match 1 shared topics	Fence IP – group of engineers, technologists, and registered patent agents	en	industrial-property WordPress	robotsllmsaihumans	emailphone	none
depa.tech ↗	62 match 1 shared topics	depa.tech - about	en	industrial-property	robotsllmsaihumans	emailphone	none
cushwakeindustrial.com ↗	61 match 1 shared topics	Logistics & Industrial \| US \| Cushman & Wakefield	US~ en	industrial-property	robotsllmsaihumans	emailphone	none
saltlakewarehouses.com ↗	61 match 1 shared topics	CRES Utah \| Salt Lake Warehouse & Industrial Properties	en	industrial-property	robotsllmsaihumans	email phone	none
saltlakewh.com ↗	61 match 1 shared topics	CRES Utah \| Salt Lake Warehouse & Industrial Properties	en	industrial-property	robotsllmsaihumans	email phone	none
lymesol.com ↗	60 match 1 shared topics	Free Trademark Search, copyright, Patent registration in Malaysia - Lymesol Intellectual Property & Creative Design	en	industrial-property WordPress WooCommerce	robotsllmsaihumans	emailphone	none
usftechtransferblog.com ↗	60 match 1 shared topics	USF Tech Transfer Blog – TTO blog to connect with our partners and discuss topics relating to tech transfer and intellectual property	en	industrial-property WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csw99.com ↗	60 match 1 shared topics	产商网_找产业园\|找厂房\|找写字楼\|找土地\|厂房租售	en	industrial-property	robotsllmsaihumans	emailphone	none
ct-gold-macpherson.com ↗	60 match 1 shared topics	overview \| CT Gold @ Macpherson	en	industrial-property	robotsllmsaihumans	emailphone	partial · 17
ctgoldmacpherson-developer.com ↗	60 match 1 shared topics	CT Gold@Macpherson \| Freehold B1 Industrial	SG~ en	industrial-property WordPress	robotsllmsaihumans	email phone	none
cushwacrossing.com ↗	60 match 1 shared topics	Cushwa Crossing Cushwa Industrial building ,Cushwa, Cushwa Crossing, 11159 Hopewell Road, Hagerstown MD 21740, penzance, Build-to-suit haggerstown MD, Class A industrial building Hagerstown MD	US~ en	industrial-property	robotsllmsaihumans	emailphone	none
cvbpa.org ↗	60 match 1 shared topics	Cumberland Valley Business Park	US~ en	industrial-property	robotsllmsaihumans	emailphone	none
cvipcolumbus.com ↗	60 match 1 shared topics	CVIP COLUMBUS	en	industrial-property	robotsllmsaihumans	emailphone	none
de-ping.org ↗	60 match 1 shared topics	Home \| de-ping.de	en	industrial-property	robotsllmsaihumans	emailphone	none
dennemeyer.info ↗	60 match 1 shared topics	Global Intellectual Property software and management \| Dennemeyer	en	industrial-property Storyblok	robotsllmsaihumans	emailphone	none
dennemeyer.org ↗	60 match 1 shared topics	Global Intellectual Property software and management \| Dennemeyer	en	industrial-property Storyblok	robotsllmsaihumans	emailphone	none
deping.org ↗	60 match 1 shared topics	Home \| de-ping.de	en	industrial-property	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.