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Abbas Khatamian | Professional Resume — 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
machekjan.com ↗	72 match 1 shared topics	Jan Machek – Data & BI professional	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
topplehq.com ↗	72 match 1 shared topics	Topple - Professional SEO Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
thewebsitepromoter.com ↗	71 match 1 shared topics	Professional Website Promoter	United States~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
samnyambe.com ↗	69 match 1 shared topics	Christos Professional Services	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 8
samradhinagar.com ↗	69 match 1 shared topics	Samradhi Nagar — Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
felipavillegas.com ↗	68 match 1 shared topics	Felipa Villegas \| Digital Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
thewikimoderators.com ↗	68 match 1 shared topics	The Wiki Moderators \| Professional Wikipedia Services	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
ims-us.com ↗	68 match 1 shared topics	International Marketing Services - Professional Marketing Solutions	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bailsite.com ↗	68 match 1 shared topics	BailSite - Professional Bail Bond Websites \| Get More Clients Online	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
inbomarketing.com ↗	67 match 1 shared topics	Digital Marketing Agency For Professional Services - INBO Marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
backlinknerds.com ↗	67 match 1 shared topics	Backlink Nerds - Professional Digital Marketing Services \| SEO & Backlink Building	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2cdigitalmarketing.com ↗	67 match 1 shared topics	Digital Marketing \| Professional Services \| 2C Digital Marketing	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	partial · 8
nationalrehab.co.uk ↗	67 match 1 shared topics	National Rehab - Database sales	United Kingdom en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2kwebgroup.com ↗	67 match 1 shared topics	Tidemark Marketing \| Elevate Your Business with Professional Marketing Solutions	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
cortesdigitalmarketing.com ↗	67 match 1 shared topics	Christian Cortes - Digital Marketing Professional	United States~ en	marketing-and-advertising Webflow	robotsllmsaihumans	email phone	none
ffdigital.net ↗	67 match 1 shared topics	F&F Digital \| Marketing Support for Businesses and Professionals	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
blacklinecopywriting.com ↗	67 match 1 shared topics	Blackline Copy - Professional Copywriting Services	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
craigjfaulkner.com ↗	67 match 1 shared topics	Craig Faulkner - Marketing for Financial Advisors & Service Professionals	en	marketing-and-advertising WordPress	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.