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Dairy | dsm-firmenich Taste, Texture & Health — 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
natamycin.com ↗	100 match 1 shared topics	Dairy \| dsm-firmenich Taste, Texture & Health	en	food-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
delvo-analytics.com ↗	84 match 1 shared topics	Cheese \| dsm-firmenich Taste, Texture & Health	en	food-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
delvoanalytics.com ↗	84 match 1 shared topics	Cheese \| dsm-firmenich Taste, Texture & Health	en	food-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
accelerzyme.com ↗	83 match 1 shared topics	Accelerzyme® \| dsm-firmenich Taste, Texture & Health	en	food-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
surveyiris.com ↗	81 match 1 shared topics	Human Insights \| dsm-firmenich Taste, Texture & Health	en	food-industry Adobe Experience Manager	robotsllmsaihumans	emailphone	none
abidairyproducts.com ↗	65 match 1 shared topics	Abi Dairy - Farm Milk Products \| Taste the Difference in Abi Milk \| Fresh Milk Producer \| Abi Dairy Vadalur.	en	food-industry	robotsllmsaihumans	email phone	none
azistasouthafrica.com ↗	65 match 1 shared topics	Azista Industries - Healthcare, Food & Agriculture and Aerospace	en	food-industry	robotsllmsaihumans	email phone	none
azistahealth.com ↗	65 match 1 shared topics	Azista Industries - Healthcare, Food & Agriculture and Aerospace	en	food-industry	robotsllmsaihumans	email phone	none
azistahealthcare.com ↗	65 match 1 shared topics	Azista Industries - Healthcare, Food & Agriculture and Aerospace	en	food-industry	robotsllmsaihumans	email phone	none
azistaindustries.com ↗	65 match 1 shared topics	Azista Industries - Healthcare, Food & Agriculture and Aerospace	en	food-industry	robotsllmsaihumans	email phone	none
azistapharmacy.com ↗	65 match 1 shared topics	Azista Industries - Healthcare, Food & Agriculture and Aerospace	en	food-industry	robotsllmsaihumans	email phone	none
azistaservices.com ↗	65 match 1 shared topics	Azista Industries - Healthcare, Food & Agriculture and Aerospace	en	food-industry	robotsllmsaihumans	email phone	none
plantacultures.com ↗	65 match 1 shared topics	Plant A US \| Plant-Based Cultures for Vegan Dairy Production	en	food-industry X-Cart	robotsllmsaihumans	emailphone	none
7applis.com ↗	65 match 1 shared topics	7apps.ca - control allergens through the production sequencing, optimize production schedules, ensure compliance with allergen regulations, reduce waste, improve efficiency.	en	food-industry	robotsllmsaihumans	emailphone	none
deanfoodsrestructuring.com ↗	64 match 1 shared topics	\| Highest Levels of Quality Dairy Products	en	food-industry WordPress	robotsllmsaihumans	emailphone	partial · 1
favanafoods.com ↗	64 match 1 shared topics	FAVANA FOODS - Sustainable and healthy food and ingredients	en	food-industry	robotsllmsaihumans	emailphone	none
nakshfoods.com ↗	64 match 1 shared topics	Naksh Foods – Frozen Foods & Dairy Products Supplier	en	food-industry WordPress	robots llmsaihumans	email phone	none
baristo.com.au ↗	64 match 1 shared topics	Office Fruit - Create A Happy, Healthy Workplace	AU en	food-industry WordPress WooCommerce	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.