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Food & Beverage Tools AI: Recipe Standardization | Food&BeverageToolsAI — 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 Food Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
feccadvisor.com ↗	68 match 1 shared topics	Food & Beverage Advisor	en	food-industry	robotsllmsaihumans	emailphone	none
sv-foods.com ↗	68 match 1 shared topics	sv f&b: Food & Beverage Experts \| SV F&B	en	food-industry	robotsllmsaihumans	emailphone	none
cartifyapp.ai ↗	68 match 1 shared topics	Cartify - Your One-Stop Food & Beverage Supply Platform	en	food-industry	robotsllmsaihumans	emailphone	none
4acesltd.com ↗	67 match 1 shared topics	Food & Beverage Packaging – 4 Aces	en	food-industry WordPress	robotsllmsaihumans	email phone	none
3narots.com ↗	67 match 1 shared topics	Food & Beverage Equipment & Services \| 3NAROTS	en	food-industry Wix	robots llmsaihumans	emailphone	none
cspdispensedbeverages.com ↗	66 match 1 shared topics	CSP Dispensed Beverage Forum \| Convenience Store Beverage Trends & Solutions	en	food-industry	robotsllmsaihumans	emailphone	none
fbcaglobal.com ↗	66 match 1 shared topics	Home – The Food & Beverage Carton Alliance	en	food-industry	robots llmsaihumans	email phone	none
sanisync.com ↗	66 match 1 shared topics	SaniSync — Sanitation Management: Guides, Standards & Best Practices	en	food-industry	robotsllmsaihumans	emailphone	partial · 8
usabev.com ↗	66 match 1 shared topics	Welcome \| USA Beverage \| Expert Service and Maintenance for Beverage Systems	en	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
farescience.com ↗	66 match 1 shared topics	FareScience \| Food Product Development & Formulation	en	food-industry Wix	robots llmsaihumans	emailphone	none
battmyanmar.com ↗	66 match 1 shared topics	BattMyanmar \| Food Manufacturing Myanmar, Specialty Foods & Beverage Retail \| BattMyanmar Food Manufacturing/Processing ,Specialty Food Retail, Beverage Manufacturing/Retail	en	food-industry	robotsllmsaihumans	emailphone	none
fdafsmaguide.com ↗	66 match 1 shared topics	FDA Food Safety Modernization Act (FSMA) Implementation	en	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
appetite4eng.co.uk ↗	66 match 1 shared topics	Appetite for Engineering \| Food and beverage sector engineering conference	GB en	food-industry Wix	robotsllmsaihumans	emailphone	none
nanoreliability.com ↗	65 match 1 shared topics	Automated fresh food preparation \| flavrr	en	food-industry	robotsllmsaihumans	emailphone	none
harrigansolutions.com ↗	65 match 1 shared topics	Harrigan Sanitation Solutions \| Food Plant Sanitation Services	en	food-industry WordPress WooCommerce	robots llmsaihumans	emailphone	none
alkanari.ae ↗	65 match 1 shared topics	Alkanari – a comprehensive solution for food and beverage supply in organization	AE en	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
usbestfoodsupply.com ↗	65 match 1 shared topics	Wholesale Ingredients, Packaging & Supplies for Food Businesses - www.usbestfoodsupply.com	en	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
au2mate.ae ↗	65 match 1 shared topics	Automation Solutions \| Process Automation \| Digitalization	AE en	food-industry WordPress	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.