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Sites similar to jeffdearment.com

Jeffdearment alternatives & similar sites

Jeff DeArment — 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 Technology Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mcwherter.net ↗	65 match 2 shared topics	Jeff McWherter	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
wilsonsantos.com ↗	61 match 2 shared topics	Wilson Dos Santos \| Digital Transformation Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
aimutah.org ↗	61 match 2 shared topics	AIM Utah (Association for Information Management) - Home	en	technology-industry phpBB	robotsllmsaihumans	emailphone	none
m86.pro ↗	60 match 2 shared topics	Matthew Hill — Technology Leader · Product, Operations, AI Governance & AI Enablement	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
adrianmoreno.info ↗	60 match 2 shared topics	Adrián Moreno Peña \| VP of Technology @ Worksome ⸱ Product & Engineering Leader (Copenhagen)	en	executive-leadership-and-management Spree Commerce	robotsllmsaihumans	email phone	none
adnanahmad.xyz ↗	60 match 2 shared topics	Adnan Ahmad - Fractional CTO for Scale-ups \| Technical Leadership & Strategy	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
aiethics.expert ↗	60 match 2 shared topics	BReilly.com	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
managermurad.info ↗	60 match 2 shared topics	Murad Amin – Manager KamDev	en	technology-industry	robotsllmsaihumans	emailphone	none
martijnaslander.international ↗	60 match 2 shared topics	Martijn Aslander.com – Connecting people, information & technology	en	technology-industry WordPress	robotsllmsaihumans	email phone	none
matthewstewart.xyz ↗	60 match 2 shared topics	Matthew Stewart \| Technical Leader \| Software Engineer \| Fractional CTO	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
matty.blog ↗	60 match 2 shared topics	Matt Cohen – Fractional CTO	en	technology-industry WooCommerce	robots llmsaihumans	emailphone	none
wilder-james.com ↗	60 match 2 shared topics	Edd Wilder-James	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	partial · 8
williamtthompson.com ↗	60 match 2 shared topics	William T. Thompson - CEO & Visionary Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	partial · 8
willstanley.pro ↗	60 match 2 shared topics	Will Stanley (he/him) \| Multi-Discipline Tech Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mbuck.org ↗	60 match 2 shared topics	Michael Buck \| Strategic Technology Leader \| Kennett Square, PA	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mccune.dev ↗	60 match 2 shared topics	Brian McCune - Technology Leader \| Brian McCune	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mckinlay.io ↗	60 match 2 shared topics	Mark McKinlay \| Group CTO & Enterprise Transformation Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
meltybrain.org ↗	60 match 2 shared topics	Trish Putnam – Technology Leadership	en	executive-leadership-and-management 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.