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Barker/Nestor : Barker/Nestor — 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
restaurantinnovator.com ↗	65 match 1 shared topics	Restaurant Marketer & Innovator \| London, UK - Restaurant Marketer and Innovator	en	hospitality-industry TYPO3	robotsllmsaihumans	emailphone	none
americanlegionpost521.org ↗	64 match 1 shared topics	Premium Hospitality Table Presentation for Restaurants, Bars and Hotels	en	hospitality-industry	robotsllmsaihumans	emailphone	partial · 8
ancoraservices.website ↗	64 match 1 shared topics	Âncora Services \| Professional Staffing in Lisbon	en	hospitality-industry	robotsllmsaihumans	emailphone	none
designwell365.com ↗	64 match 1 shared topics	Hospitality Design \| Latest Commercial Interior Design News	en	hospitality-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
designwellcon.com ↗	64 match 1 shared topics	Hospitality Design \| Latest Commercial Interior Design News	en	hospitality-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bearheartconsulting.com ↗	64 match 1 shared topics	Hospitality & Restaurant IT Advisors \| Bearheart Consulting	en	hospitality-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
agelessliving.life ↗	64 match 1 shared topics	dash design	en	hospitality-industry Squarespace	robotsllmsaihumans	emailphone	none
sixstarhotels.com ↗	64 match 1 shared topics	SIXSTAR Hotels \| Gestor Hotelero	EC~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
ah2.group ↗	64 match 1 shared topics	AH2 Atelier Hospitality \| Strategic contract and turnkey service	en	hospitality-industry WordPress	robotsllmsaihumans	emailphone	none
visitorcareconsultancy.com ↗	64 match 1 shared topics		en	hospitality-industry	robotsllmsaihumans	emailphone	none
milestonehub.org ↗	64 match 1 shared topics	Milestone	en	hospitality-industry	robotsllmsaihumans	emailphone	none
mmlhospitalityshop.com ↗	64 match 1 shared topics	MML Hospitality Merchandise Online Store	en	hospitality-industry Shopify	robots llmsaihumans	emailphone	none
365daysofmagic.com ↗	63 match 1 shared topics	Premium Hospitality Accessories for Restaurants, Cafes and Hotels	en	hospitality-industry	robotsllmsaihumans	emailphone	partial · 8
decoratorindustries.com ↗	63 match 1 shared topics	Home \| Decorator Industries	en	hospitality-industry Wix	robots llmsaihumans	emailphone	none
ctrestaurant.org ↗	63 match 1 shared topics	CRHA \| Connecticut Restaurant & Hospitality Association	United States~ en	hospitality-industry	robotsllmsaihumans	emailphone	none
deskbay.io ↗	63 match 1 shared topics	Deskbay \| Digital QR Code Menu for Restaurants & Hospitality	en	hospitality-industry	robotsllmsaihumans	emailphone	none
albertfishfilm.com ↗	63 match 1 shared topics	Premium Hospitality Presentation Accessories for Restaurants and Hotels	en	hospitality-industry	robotsllmsaihumans	emailphone	partial · 8
delapointeresidences.com ↗	63 match 1 shared topics	Graves Hospitality \| Hospitality Management Company \| Luxury Hotels Resorts Restaurants \| Development Expertise \| Management Savvy \| Brand Development \| Investor Relations \| Property Marketing	United States~ en	hospitality-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.