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Vin Writes - SEO, Data Science and eCommerce — 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
mcclister.com ↗	70 match 1 shared topics	Brian McClister – Ecommerce and Digital Marketing Consultant	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datasciences.ai ↗	70 match 1 shared topics	Data Sciences – The official website of Data Sciences Inc.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
abcdecommerce.com ↗	69 match 1 shared topics	eCommerce and Digital Marketing Consultant \| ABCD eCommerce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dataxiatech.com ↗	69 match 1 shared topics	Dataxia — Data Tools for Modern Ecommerce	en	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	partial · 8
renlinq.com ↗	69 match 1 shared topics	renlinQ \| Data Science & Social ROI	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
remoteseoconsultant.com ↗	68 match 1 shared topics	Remote SEO Consultant For SaaS And Ecommerce \| 17+ Years Experience	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
datafirstbrands.com ↗	68 match 1 shared topics	Data First Brands — Take Control of Ecommerce	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
1-nlp.com ↗	68 match 1 shared topics	1-NLP \| Science and Arts Blog	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
360conversionanalytics.com ↗	67 match 1 shared topics	Digital Marketing and Data Consultancy - Making Science	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
olroad.com ↗	67 match 1 shared topics	OLROAD - Ecommerce & PPC Consulting	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
absolutelyhealth.co.uk ↗	67 match 1 shared topics	Absolutely Health - Marketing Agency for Life Science and Lifestyle	United Kingdom en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
grapedigital.uk ↗	67 match 1 shared topics	Grape Digital \| E-commerce and Marketing Websites	United Kingdom en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 8
danielknugent.com ↗	67 match 1 shared topics	Daniel Nugent - Head of eCommerce	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
onlinesalesmasters.com ↗	67 match 1 shared topics	OSM Ecommerce & Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
remarkabledigitalplus.com ↗	67 match 1 shared topics	Remarkable Digital - SEO for Australian eCommerce & Retail Brands	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
remarkabledigitalnow.com ↗	67 match 1 shared topics	Remarkable Digital - SEO for Australian eCommerce & Retail Brands	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
remarkabledigitalhq.com ↗	67 match 1 shared topics	Remarkable Digital - SEO for Australian eCommerce & Retail Brands	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
oneando.com ↗	67 match 1 shared topics	OneandO Marketing Communication and eCommerce Platforms	United States~ 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.