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Pine Nut Mountains Trails Association – Preserving Public Lands for Public Use — 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 Parks and Nature →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
americantrails.org 60* match Home - American Trails en Outdoor ActivitiesCraft CMS robots none
earthtrails.com 60* match Gary Gray's Earth Trails Blog . en Outdoor Activities none
cityofredlands.org 60* match Home - City of Redlands en Outdoor ActivitiesWordPress robots none
ptny.org 60* match Home - Parks & Trails New York en Outdoor ActivitiesWordPress robots emailphone none
ccprc.com 55* match Charleston County Parks and Recreation | Official Website en Outdoor Activities none
gastateparks.org 55* match | Department Of Natural Resources Division United States~ en Parks and NatureDrupal robots none
justaddapicnic.com 55* match Just Add a Picnic en Parks and Nature none
ebparks.org 55* match East Bay Regional Park District en Outdoor ActivitiesDrupal robots partial · 8
alapark.com 55* match Alabama State Parks | Alapark en Parks and NatureDrupal none
ncparks.gov 55* match North Carolina State Parks en Parks and NatureDrupal email none
pinedaleonline.com 55* match Pinedale Wyoming, Pinedale Online en Outdoor ActivitiesDrupal robots partial · 8
chicagoparkdistrict.com 55* match Home Page | Chicago Park District en Parks and NatureDrupal none
dupageforest.org 55* match Homepage | Forest Preserve District of DuPage County en Parks and NatureHubSpot emailphone none
hikejasper.com 55* match Hike Jasper en Outdoor Activities robots email none
houstonriverwalk.com 55* match Houston River Walk on Buffalo Bayou en Parks and Nature none
uslakes.info 55* match U.S. Lakes en Outdoor Activities none
clevelandmetroparks.com 55* match Cleveland Metroparks United States~ en Parks and Nature phone none
weissensee.com 55* match Weissensee en Parks and Nature 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.