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Ask Sloane | Marketing Intelligence for Growing Businesses — 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
csquaredbrands.com ↗	75 match 1 shared topics	Outsourced Marketing Department for Growing Businesses	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
habragency.com ↗	74 match 1 shared topics	HABR Agency — Digital Intelligence for Local Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
rbrandr.com ↗	74 match 1 shared topics	RBRANDR \| Marketing Agency for Businesses	United Kingdom~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
astropromarketing.com ↗	74 match 1 shared topics	AstroPro Marketing \| Intelligent Business Systems	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
quicktracksupermetrics.com ↗	74 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
hypersupermetrics.com ↗	74 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
360connectsupermetrics.com ↗	74 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
360supermetrics.com ↗	74 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
360aisupermetrics.com ↗	74 match 1 shared topics	Marketing Intelligence Platform: Supermetrics	en	marketing-and-advertising Sanity	robots llmsaihumans	emailphone	none
digiholistic.co.uk ↗	73 match 1 shared topics	DigiHolistic — Joined-Up Digital Marketing for Growing UK Businesses	United Kingdom en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
groxell.com ↗	73 match 1 shared topics	Revenue-Driven Performance Marketing Agency for Growing Businesses \| Groxell	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
growingbluecollar.com ↗	73 match 1 shared topics	GrowingBlueCollar — Digital Marketing for Trade Businesses	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
guilhermebarreto.com ↗	72 match 1 shared topics	Guilherme Barreto - Data-Driven Marketing & Business Intelligence	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
growmaplabs.com ↗	72 match 1 shared topics	Map Labs \| Growing businesses with Google Maps marketing.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
ccmgrowth.com ↗	72 match 1 shared topics	CCM Growth \| Digital Marketing for Sydney Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mimbbo.com ↗	72 match 1 shared topics	Mimbbo \| Marketing Platform for Beauty Businesses	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
katchmedigital.com ↗	72 match 1 shared topics	KatchmeDigital - Marketing for Businesses	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
serviceconversion.com ↗	72 match 1 shared topics	90-Day Marketing System for Local Businesses	en	marketing-and-advertising WordPress	robots llmsaihumans	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.