similar sites

Browse

AI Report Tools

Sites similar to stanleylin.com

Stanleylin alternatives & similar sites

Marketing and Web Optimization Specialist — 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
triciamaedesigns.com ↗	72 match 1 shared topics	Tricia Mae Designs – Website Optimization Specialist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
baponte.dev ↗	72 match 1 shared topics	Brian Aponte \| SFMC Marketing Automation Specialist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
aimsearchengineoptimization.com ↗	71 match 1 shared topics	Ascend Internet Marketing, Search Engine Optimization Company, Optimization Specialists	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
doubleoglobal.com ↗	71 match 1 shared topics	Brand & Digital Marketing Specialists	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
banedigitalmarketing.com ↗	71 match 1 shared topics	Bane Digital Marketing \| Optimization Consultant	en	marketing-and-advertising MODX	robotsllmsaihumans	emailphone	none
cherigerson.com ↗	71 match 1 shared topics	Cheri Gerson \| Marketing Specialist	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
rosekular.com ↗	71 match 1 shared topics	Rose Kular – Marketing Specialist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
360degreekerala.com ↗	71 match 1 shared topics	Digital Marketing Specialist \| Kochi	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
360web-host.com ↗	71 match 1 shared topics	Search Engine Optimization, and Web Marketing Secrets: 360WebMarketing.com	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
iamishpreetsingh.com ↗	70 match 1 shared topics	Ishpreet Singh – Digital Marketing and Communications Specialist	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	full · 12
dot-dot.com ↗	70 match 1 shared topics	Atlanta Search Engine Optimization and Marketing \| Dot-Dot.com	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
troef.io ↗	70 match 1 shared topics	De specialist in Marketing automation, data & tracking	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
minhajms.com ↗	70 match 1 shared topics	Digital marketing specialist in calicut	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
misohappybox.com ↗	70 match 1 shared topics	Arvind Kumaraguru - Marketing Specialist	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
pacificidentity.com ↗	70 match 1 shared topics	Pacific Identity - specialists in product marketing and Asian	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
palakjainn.com ↗	70 match 1 shared topics	Palak Jain \| Digital Marketing & SEO Specialist	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
yourmidwestcoast.com ↗	70 match 1 shared topics	Tourism Marketing Specialists - Signalfire	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dredann.com ↗	70 match 1 shared topics	Dredann Quenneville - Marketing Specialist	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.