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Mountainmentorprogram alternatives & similar sites

Mountain Mentor Program — 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 Climbing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
leading-ladies.be ↗	65 match 1 shared topics	Leading Ladies - Women in Mountaineering	Belgium en	climbing	robotsllmsaihumans	emailphone	none
acadiamountainguides.com ↗	65 match 1 shared topics	Home - Acadia Mountain Guides Climbing School	en	climbing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alcogelpulse.digital ↗	64 match 1 shared topics	Peak Barn — Climbing & Mountain Shop \| Utrecht, Netherlands	en	climbing	robotsllmsaihumans	emailphone	none
boulderingtracker.com ↗	64 match 1 shared topics	BoulderingTracker \| Track Your Progress	en	climbing	robotsllmsaihumans	emailphone	none
skitaosbackcountry.com ↗	64 match 1 shared topics	Guided Backcountry Skiing - Mountain Skills Rock Climbing Adventures	en	climbing WordPress	robotsllmsaihumans	emailphone	none
mcsajohannesburg.org ↗	63 match 1 shared topics	Mountain Club of South Africa Johannesburg Section \| MCSA Johannesburg	South Africa~ en	climbing WordPress	robots llmsaihumans	emailphone	none
alanhinkes.info ↗	63 match 1 shared topics	Alan Hinkes: 8000m - Climbing the World's Highest Mountains	en	climbing	robotsllmsaihumans	emailphone	none
alpineinstitute.com ↗	63 match 1 shared topics	American Alpine Institute \| Mountaineering School & Ski Guides	United States~ en	climbing WordPress	robotsllmsaihumans	email phone	none
desertmountaineer.com ↗	63 match 1 shared topics	Desert Mountaineer \| Climbing and adventure in the world's mountains	en	climbing WordPress	robotsllmsaihumans	emailphone	none
sawtoothguides.com ↗	62 match 1 shared topics	Guided Climbing, Hiking, Backcountry Skiing in the Sawtooth Mountains Near Sun Valley, Stanley and Boise, Idaho \| Sawtooth Mountain Guides	en	climbing WordPress	robotsllmsaihumans	emailphone	none
boulderm.com ↗	62 match 1 shared topics	Boulder Movement	en	climbing	robotsllmsaihumans	emailphone	none
twoararat.ch ↗	61 match 1 shared topics	Mount Ararat Climbing Tours & Guided Expeditions \| Two Ararat	Switzerland en	climbing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aconcagua-climbing.com ↗	61 match 1 shared topics	Climbing Mount Aconcagua Argentina, Guided Treks, Hike, Guides	en	climbing WordPress	robotsllmsaihumans	emailphone	none
aconcaguaone.com ↗	61 match 1 shared topics	Climbing Mount Aconcagua Argentina, Guided Treks, Hike, Guides	en	climbing WordPress	robotsllmsaihumans	emailphone	none
boulderbounty.com ↗	61 match 1 shared topics	Boulder Bounty \| Home	en	climbing	robotsllmsaihumans	emailphone	none
activeproclimbing.com ↗	61 match 1 shared topics	Home - Active Pro Climbing	en	climbing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jamieandrew.com ↗	61 match 1 shared topics	Jamie Andrew \| Quadruple Amputee - Mountaineer - Speaker \| Jamie Andrew is the incredible Scottish mountaineer who, despite having no hands and feet, has made some amazing ascents all over the world.	en	climbing WordPress	robotsllmsaihumans	emailphone	none
skydivetrack.com ↗	61 match 1 shared topics	Skydive Track - Professional Skydiving Equipment Management & Marketplace	en	climbing	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.