similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to shabeertech.com

Shabeertech alternatives & similar sites

Mohamed Shabeer Usman — Product & Technology Leader — 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 Executive Leadership And Management →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
pgoros.com ↗	70 match 2 shared topics	Panagiotis Goros - Product & Technology Executive	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
cyclespersecond.io ↗	70 match 2 shared topics	Adam Hertz – Technology Leader & High Impact Product Executive	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
georgewilde.co.uk ↗	70 match 2 shared topics	George Wilde - Technology Leader	United Kingdom en	technology-industry	robotsllmsaihumans	emailphone	none
albinati.com.br ↗	70 match 2 shared topics	Luis Albinati - Technology Executive & Product Leader	Brazil en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mike-lipman.com ↗	69 match 2 shared topics	Mike Lipman \| E-Commerce Business & Technology Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
meltybrain.org ↗	69 match 2 shared topics	Trish Putnam – Technology Leadership	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
fiehn.co.uk ↗	69 match 2 shared topics	Business Technology Leader : Dan Fiehn	United Kingdom en	executive-leadership-and-management WordPress WooCommerce	robots llmsaihumans	emailphone	partial · 8
menassa.net ↗	68 match 2 shared topics	Ronnie Menassa - Senior Technology Leader	en	technology-industry WordPress	robots llmsaihumans	emailphone	none
mccune.dev ↗	68 match 2 shared topics	Brian McCune - Technology Leader \| Brian McCune	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
katherinegolden.com ↗	68 match 2 shared topics	Katherine Golden — Technology Executive & AI Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
rashmirao.info ↗	68 match 2 shared topics	Technology and Business Leader	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
millerbock.com ↗	68 match 2 shared topics	Jessica Miller-Bock \| Strategic Technology Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
udayrajan.com ↗	68 match 2 shared topics	Uday Rajan \| Technology & Program Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
sergeybondarenko.com ↗	68 match 2 shared topics	Sergey Bondarenko — Technology & Engineering Leader	en	technology-industry	robotsllmsaihumans	emailphone	none
2arrows.dev ↗	67 match 2 shared topics	Technology Leadership in your Business \| 2Arrows	en	technology-industry	robotsllmsaihumans	emailphone	none
2arrows.tech ↗	67 match 2 shared topics	Technology Leadership in your Business \| 2Arrows	en	technology-industry	robotsllmsaihumans	emailphone	none
mbuck.org ↗	67 match 2 shared topics	Michael Buck \| Strategic Technology Leader \| Kennett Square, PA	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
petenovotny.com ↗	67 match 2 shared topics	Peter Novotny \| Technology & Partnerships Leader	en	technology-industry	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.