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Azzad Trading Group | Largest full line supplier to the Hotel, Restaurant and Catering Industry. — 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 Hospitality Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
esl-online.co.uk ↗	68 match 2 shared topics	ESL Restaurant & Commercial Catering Suppliers	United Kingdom en	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zyda.com ↗	66 match 2 shared topics	Zyda - The online ordering system for restaurants and cafes	en	hospitality-industry HubSpot	robotsllmsaihumans	emailphone	none
trnusa.com ↗	66 match 2 shared topics	Restaurant and Food Service Industry News \| TRNusa.com	en	food-industry WordPress	robotsllmsaihumans	email phone	none
cateringstrategy.com ↗	65 match 2 shared topics	Catering Strategy – Elevating catering strategy, education, and technology for the global restaurant and foodservice community.	en	food-industry WordPress	robotsllmsaihumans	emailphone	none
cassidysproline.net ↗	65 match 2 shared topics	Cassidy's Proline – Manufacturers’ rep group to the food service, lodging and hospitality industry	United States~ en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
getmefood.co.uk ↗	65 match 2 shared topics	Online Restaurant Ordering System – GetMeFood	United Kingdom en	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fnbinsight.com ↗	65 match 2 shared topics	FnB Insight \| Restaurant & F&B Industry Insights for UAE	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
culinary-capers.com ↗	65 match 2 shared topics	Culinary Capers - China, flatware, crystal, tabletop items for restaurants, hotels and caterers	en	food-industry	robotsllmsaihumans	emailphone	none
trivrteam.com ↗	65 match 2 shared topics	Virtual Restaurant and Kitchen Marketplace	en	food-industry WordPress	robotsllmsaihumans	emailphone	none
trivrmenus.com ↗	65 match 2 shared topics	Virtual Restaurant and Kitchen Marketplace	en	food-industry WordPress	robotsllmsaihumans	emailphone	none
trivreatsonline.com ↗	65 match 2 shared topics	Virtual Restaurant and Kitchen Marketplace	en	food-industry WordPress	robotsllmsaihumans	emailphone	none
trivreatshub.com ↗	65 match 2 shared topics	Virtual Restaurant and Kitchen Marketplace	en	food-industry WordPress	robotsllmsaihumans	emailphone	none
trivreats.com ↗	65 match 2 shared topics	Virtual Restaurant and Kitchen Marketplace	en	food-industry WordPress	robotsllmsaihumans	emailphone	none
crispysrestogrill.ca ↗	65 match 2 shared topics	Online Ordering System for Restaurants \| Menu.ca	Canada en	hospitality-industry	robotsllmsaihumans	emailphone	none
fasteat.ch ↗	65 match 2 shared topics	Fast Eat \| Online Ordering System for Restaurants	Switzerland en	food-industry	robotsllmsaihumans	emailphone	partial · 8
mymozo.com ↗	64 match 2 shared topics	myMozo \| Online Ordering For Restaurants \| Restaurant Order System	United States~ en	food-industry	robotsllmsaihumans	emailphone	none
foodbud.co.uk ↗	64 match 2 shared topics	Online Ordering for UK Restaurants & Takeaways \| Food & Bud	United Kingdom en	food-industry	robotsllmsaihumans	email phone	partial · 8
gksoft.co.uk ↗	64 match 2 shared topics	Epos System For Restaurant UK \| Online Ordering System Restaurant UK	United Kingdom en	food-industry	robotsllmsaihumans	email phone	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.