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 mef.org.my

Mef alternatives & similar sites

Malaysian Employers Federation (MEF) — 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 Human Resources →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
oftse.org ↗	68 match 1 shared topics	Oxnard Federation of Teachers & School Employees – OFTSE Local 1273	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
equestrianemployers.org.uk ↗	68 match 1 shared topics	Equestrian Employers Association - Support for those who employ grooms	United Kingdom en	human-resources	robotsllmsaihumans	email phone	none
cushionbenefitsportal.com ↗	67 match 1 shared topics	Cushion Employer Services	en	human-resources	robotsllmsaihumans	emailphone	none
ohioemployerconnections.com ↗	66 match 1 shared topics	Ohio Employer Connections	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
askbest.com ↗	66 match 1 shared topics	Homepage - Best Employer Solutions	en	human-resources WordPress	robotsllmsaihumans	email phone	none
einllc.com ↗	66 match 1 shared topics	Home - Employers Innovative Network	United States~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
questco.net ↗	66 match 1 shared topics	Questco - A Professional Employer Organization (PEO)	United States~ en	human-resources HubSpot	robotsllmsaihumans	email phone	none
tsistaff.com ↗	66 match 1 shared topics	TSI Employee Communications	en	human-resources	robotsllmsaihumans	emailphone	none
destinationemployermovement.com ↗	66 match 1 shared topics	The Destination Employer Movement - The Hebets Company	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
cultr.io ↗	66 match 1 shared topics	Cultr - Employee Appreciation Services	en	human-resources Shopify	robots llmsaihumans	emailphone	none
emps.co.uk ↗	66 match 1 shared topics	EMPS – (Employers Mutual Protection Service)	United Kingdom en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meetreviewpointai.org ↗	66 match 1 shared topics	ReviewPoint HR - Employer Reputation Management	en	human-resources	robotsllmsaihumans	emailphone	none
hubreviewpointai.org ↗	66 match 1 shared topics	ReviewPoint HR - Employer Reputation Management	en	human-resources	robotsllmsaihumans	emailphone	none
decompliance.solutions ↗	66 match 1 shared topics	Home • DirectEmployers Association One-stop Shop Solutions	en	human-resources WordPress WooCommerce	robots llmsaihumans	emailphone	none
decompliance.org ↗	66 match 1 shared topics	Home • DirectEmployers Association One-stop Shop Solutions	en	human-resources WordPress WooCommerce	robots llmsaihumans	emailphone	none
checkworkrights.com ↗	66 match 1 shared topics	Employee Background Check Software for Australian Employers	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
hr-praesenz.com ↗	65 match 1 shared topics	Employer Telling	en	human-resources	robotsllmsaihumans	emailphone	none
effortlessadministrationsolutions.com ↗	65 match 1 shared topics	Independent Plan Administration for Employee Benefits	en	human-resources	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.