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Sites similar to foodience.com

Foodience alternatives & similar sites

Foodience™ | Where Taste Meets Traffic — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
voqely.com ↗	69 match 1 shared topics	Voqely \| Where Brands Meet Creators	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
moplexlabs.dev ↗	67 match 1 shared topics	Moplex Labs \| Where Creativity Meets Intelligence	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
kringp.com ↗	67 match 1 shared topics	KringP - Where Influence Meets Impact \| India's #1 Influencer Marketing Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
otoma.org ↗	67 match 1 shared topics	OTOMA — Where Tech Brands Meet Creators Who Convert	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
estimatewave.com ↗	67 match 1 shared topics	Estimate Wave - Where Trust Meets Opportunity for Contractors	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kravdigitalmedia.com ↗	67 match 1 shared topics	Krav Digital Media Group — Where Social Meets Spectacular	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
voiceupfluence.com ↗	66 match 1 shared topics	Influencer & Affiliate Marketing Platform \| Upfluence	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
paramountphilly.com ↗	66 match 1 shared topics	Home — Paramount Philly \| Where Passion Meets Performance	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
affise.com ↗	66 match 1 shared topics	Affise: Affiliate Marketing Software & Partner Marketing Platform	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
hnycomb.co ↗	66 match 1 shared topics	HoneyComb \| Drive Direct Traffic with Affiliate Marketing	Colombia en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
allthattraffic.com ↗	66 match 1 shared topics	All That Traffic	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hessianmarketing.com ↗	66 match 1 shared topics	Hessian Marketing - where strategy meets precision	en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
megasnowball.org ↗	66 match 1 shared topics	Social Snowball \| Influencer, Affiliate, & Referral Platform for DTC	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
allsocialsnowball.org ↗	66 match 1 shared topics	Social Snowball \| Influencer, Affiliate, & Referral Platform for DTC	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
allsocialsnowballteam.org ↗	66 match 1 shared topics	Social Snowball \| Influencer, Affiliate, & Referral Platform for DTC	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
dialoguemarketingcompany.com ↗	66 match 1 shared topics	Where Digital Creativity Meets Modern Marketing \| Home	en	marketing-and-advertising Drupal	robotsllmsaihumans	emailphone	none
digisnowball.org ↗	66 match 1 shared topics	Social Snowball \| Influencer, Affiliate, & Referral Platform for DTC	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
vizzybrand.com ↗	66 match 1 shared topics	Search Site Traffic -	en	marketing-and-advertising WordPress WooCommerce	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.