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Mrbright alternatives & similar sites

Mr. Bright AI — Your AI Marketing Department — 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
ace.guru ↗	74 match 2 shared topics	Ace.guru — Your AI Marketing Team	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
goorengreenberg.com ↗	73 match 2 shared topics	Your AI Marketing Advisor	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
admind.tech ↗	73 match 2 shared topics	AdMind AI — AI Marketing Cloud	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
beamflows.com ↗	73 match 2 shared topics	BeamFlows — Your AI Marketing Agent That Acts	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
joyo.marketing ↗	72 match 2 shared topics	JOYO - Your AI Marketing Team	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
aipoweredmarketingdepartment.com ↗	72 match 2 shared topics	AI-Powered Marketing Department \| Scale Your Marketing Impact	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
8thfloor.ai ↗	72 match 2 shared topics	8thFloor - Your AI Marketing Floor	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
theaicmo.com ↗	72 match 2 shared topics	The AI CMO – Your AI Marketing Agent. End to End.	en	marketing-and-advertising Shopify	robots llms aihumans	emailphone	none
meetpassionfruithq.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
meetpassionfruithub.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
meetpassionfruitinbox.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
freelancematchhub.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
freelancerloop.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
freelancerfruit.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
freelancefocuslab.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
zinggigs.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
gigpotion.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
gofruitcreative.com ↗	72 match 2 shared topics	Passionfruit \| Unite the best of humans and AI for your marketing department	en	marketing-and-advertising	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.