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BitBrd | Tech Bundle for Independent Restaurants & Retail — 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
retailfronts.com ↗	69 match 1 shared topics	RetailFronts - Digital Solutions for Restaurants & Retail	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ads-bytutts.com ↗	69 match 1 shared topics	Performance Marketing for Independent Brands – ByTutts Digital	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
abbadistribution.com ↗	69 match 1 shared topics	Advertising consultancy for cafés & restaurants	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
reviocard.com ↗	69 match 1 shared topics	Revio — Digital Loyalty Cards for Coffee Shops, Retail & Restaurants	en	marketing-and-advertising	robots llmsaihumans	emailphone	partial · 9
simplmusicmarketing.com ↗	69 match 1 shared topics	Music Marketing Agency for Independent Artists \| simpl.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kawhe.shop ↗	69 match 1 shared topics	Digital Loyalty for Independent Cafes \| Kawhe	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
become-ikonic.com ↗	69 match 1 shared topics	Ikonic Marketing — Lead Systems for Independent Car Dealerships	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
freerestaurantmarketing.com ↗	68 match 1 shared topics	Free Marketing For Restaurants and Food Trucks	en	marketing-and-advertising Weebly	robotsllmsaihumans	emailphone	none
advancedglobalresearch.com ↗	68 match 1 shared topics	Advanced Global Research \| Marketing for Independent Financial Advisors	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
revvopsmedia.com ↗	68 match 1 shared topics	RevvOps Media — Performance Marketing for Independent Dealers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
smmpanelinfo.com ↗	68 match 1 shared topics	SMM Panel Info — Independent SMM Panel Resource	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
thedigitalrestaurant.com ↗	68 match 1 shared topics	Restaurant Marketing Systems for Growth \| The Digital Restaurant	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
thebrewedsocial.com ↗	68 match 1 shared topics	Brewed Social \| Café & Restaurant Marketing Systems for Social Media	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
restolabs.com ↗	68 match 1 shared topics	Zero Commission Online Ordering for Restaurants \| Restolabs	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
3owl.agency ↗	68 match 1 shared topics	Restaurant Web Design & Digital Growth for Multi-Unit Brands \| 3Owl	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
beansoupmedia.com ↗	67 match 1 shared topics	100% "Done For You" Marketing for Restaurants	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
restaurantinfinity.com ↗	67 match 1 shared topics	Restaurant Infinity \| Full-Service Agency for Restaurants	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
restaurantwebguy.com ↗	67 match 1 shared topics	Restaurant Internet, Technology and Social Media	en	marketing-and-advertising Ghost	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.