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Alptug Ozer — Google Ads & Shopping Specialist for E-commerce — 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
cartscience.io ↗	72 match 1 shared topics	Cart Science \| Google Shopping & Amazon Ads for Complex E-commerce	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
milesmcnair.com ↗	72 match 1 shared topics	Miles McNair — 90-Day Google Ads Transformation for E-commerce Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dustforkppc.com ↗	72 match 1 shared topics	Dustfork - Google Ads Agency for E-commerce Businesses	en	marketing-and-advertising Shopify	robotsllmsaihumans	emailphone	none
catherineschwartz.com ↗	72 match 1 shared topics	Catherine Schwartz — Marketing & E-Commerce Specialist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kelvinzhu.com ↗	71 match 1 shared topics	Kelvin Zhu — Growth Marketing Specialist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mikemarlin.com ↗	71 match 1 shared topics	Michael Marlin Jr. \| Google Ads Specialist & Marketing Nerd	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
tuntuntauk.com ↗	71 match 1 shared topics	Tun Tun Tauk — SEO & Digital Marketing Specialist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
keycommerce.com ↗	71 match 1 shared topics	Google Ads for eCommerce - KeyCommerce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
keyppc.com ↗	71 match 1 shared topics	Google Ads for eCommerce - KeyCommerce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
reclick.io ↗	70 match 1 shared topics	Google Ads Agency for Ecommerce & Lead Gen \| ReClick.io	Canada~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
miguel-pinto.com ↗	70 match 1 shared topics	Miguel Pinto — Shopify & Ecommerce Specialist \| Marketing Technologist	Portugal~ en	marketing-and-advertising WooCommerce	robots llms aihumans	emailphone	none
kasimlam.com ↗	70 match 1 shared topics	Kamie Lam – E-Commerce & Digital Marketing Specialist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
donotclick.co.uk ↗	70 match 1 shared topics	Digital Ninjas \| Google Ad Grant & Digital Marketing specialists	United Kingdom en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
kectick.com ↗	70 match 1 shared topics	Kectick — Google LSA & GMB Specialists for Local Service Pros	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
khianolaguer.com ↗	69 match 1 shared topics	Khian Olaguer – Digital Marketing Specialist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
serpcore.com ↗	69 match 1 shared topics	Serpcore: SEO Agency for SaaS & E-commerce Growth	Canada~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
100ecommerce.com ↗	69 match 1 shared topics	100Ecommerce — E-Commerce, Video Ads & Social Media Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
gumpglobal.com ↗	69 match 1 shared topics	Gump Global LLC — Google Ads Performance Marketing for Home Services	en	marketing-and-advertising	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.