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Barber Packaging - Barber Packaging — 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
barberpackaging.org ↗	100 match 2 shared topics	Barber Packaging - Barber Packaging	en	manufacturing-industry WordPress	robotsllmsaihumans	email phone	none
barberpackaging.net ↗	100 match 2 shared topics	Barber Packaging - Barber Packaging	en	manufacturing-industry WordPress	robotsllmsaihumans	email phone	none
sursealpackaging.com ↗	75 match 2 shared topics	Sur-Seal Packaging - Bunzl Industrial Packaging	en	manufacturing-industry WordPress	robotsllmsaihumans	emailphone	none
plasticans.com ↗	74 match 2 shared topics	Industrial Packaging Solutions \| Mauser Packaging	en	mechanical-and-industrial-engineering-industry WordPress	robotsllmsaihumans	emailphone	none
plastican.com ↗	74 match 2 shared topics	Industrial Packaging Solutions \| Mauser Packaging	en	mechanical-and-industrial-engineering-industry WordPress	robotsllmsaihumans	emailphone	none
1stpkg.com ↗	73 match 2 shared topics	First Packaging Systems - First Packaging Systems	en	manufacturing-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
detechpkg.com ↗	72 match 2 shared topics	DE-Tech Packaging \| Automated Packaging Equipment & Labels	en	manufacturing-industry Joomla	robotsllmsaihumans	emailphone	none
useplanitpackaging.com ↗	72 match 2 shared topics	Turnkey Automated Packaging Solutions \| PLAN IT Packaging	CA~ en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
avrpackagingsolutions.com ↗	72 match 2 shared topics	AVR Packaging Solutions	en	manufacturing-industry	robotsllmsaihumans	emailphone	none
joinplanitpackaging.com ↗	72 match 2 shared topics	Turnkey Automated Packaging Solutions \| PLAN IT Packaging	CA~ en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
conpack.com.au ↗	71 match 2 shared topics	Contract Packaging Systems – Packaging Machine Specialists	AU en	manufacturing-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
customprintpackaging.com ↗	70 match 2 shared topics	IPS Packaging & Automation	US~ en	manufacturing-industry	robotsllmsaihumans	emailphone	none
allpacktech.com.au ↗	70 match 2 shared topics	Allpack Packaging Technologies \| Packaging Machines Australia	AU en	manufacturing-industry WordPress	robotsllmsaihumans	email phone	none
demarsystems.com ↗	70 match 2 shared topics	DEMAR - Packaging Machine - DEMAR - Automatic Packaging Machine	en	manufacturing-industry Jimdo	robotsllmsaihumans	emailphone	none
3ienterprise.com ↗	69 match 2 shared topics	Packaging Solutions - Bubble Wrap, Stretch Films, Tapes, Industrial Packaging \| 3i Enterprise	en	manufacturing-industry	robotsllmsaihumans	emailphone	none
discpackaging.com ↗	68 match 2 shared topics	Disc Packaging Testing \| Tyvek® Envelopes	en	manufacturing-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
feedscrew.com ↗	68 match 2 shared topics	Packaging Experts Since 1979	en	mechanical-and-industrial-engineering-industry WordPress	robotsllmsaihumans	emailphone	none
foampackaging.com.au ↗	68 match 2 shared topics	Foam Packaging, Achieving & Protection Specialists	AU en	manufacturing-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.