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Gbatnet alternatives & similar sites

GBatNet – Global Union of Bat Diversity Networks — 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 Biological Sciences →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
morcoslaboratory.org ↗	66 match 1 shared topics	Morcos Lab – at the University of Texas at Dallas	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
kalusche.eco ↗	66 match 1 shared topics	kalusche.eco - Exploring Diversity: From local to global scale	en	biological-sciences	robotsllmsaihumans	emailphone	none
freshnetlab.org ↗	65 match 1 shared topics	Freshwater Networks Laboratory – A lab group based in the School of Biosciences at Cardiff University	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
adaptive-evolution.org ↗	65 match 1 shared topics	Adaptive Evolution \| The University of Melbourne	en	biological-sciences	robotsllmsaihumans	email phone	none
morgantingley.com ↗	65 match 1 shared topics	Tingley Lab – Global Change Ecology & Conservation	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
moorearthropods.org ↗	65 match 1 shared topics	Moore Lab – Arthropod Systematics at the University of Arizona	en	biological-sciences WordPress WooCommerce	robotsllmsaihumans	emailphone	none
moranresearch.org ↗	64 match 1 shared topics	Moran Lab – Department of Marine Sciences, University of Georgia	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
smalp.net ↗	64 match 1 shared topics	SMALP Network	en	biological-sciences	robotsllmsaihumans	emailphone	none
keolab.com ↗	64 match 1 shared topics	Keough Lab – Temperate marine ecology at the University of Melbourne	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
skyelarrojas.com ↗	64 match 1 shared topics	Skyelar Rojas — Biologist \| University of Ottawa	Canada~ en	biological-sciences Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
zhouxglab.com ↗	64 match 1 shared topics	The Xiaogen Lab \| Zhejiang University Of Technology	en	biological-sciences	robotsllmsaihumans	emailphone	none
mcguiganlab.org ↗	64 match 1 shared topics	McGuigan Lab – Dr Katrina McGuigan, The University of Queensland, Brisbane.	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
aaronwhiteley.com ↗	64 match 1 shared topics	Aaron Whiteley \| Biochemistry \| University of Colorado Boulder	United States~ en	biological-sciences Drupal	robotsllmsaihumans	email phone	none
beatus-lab.org ↗	64 match 1 shared topics	Tsevi Beatus \| Hebrew University \| Insect flight	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
gardnerschwarzlab.com ↗	64 match 1 shared topics	Lab of Evolutionary Genetics Conservation and Sociality – Flinders University, Adelaide, South Australia	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
behavior-disease.com ↗	64 match 1 shared topics	Behavioral & Disease Ecology Lab – AG-Stockmaier at the University of Tennessee, Knoxville	en	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
benhamoulab.com ↗	64 match 1 shared topics	Benhamou Lab \| Hebrew University of Jerusalem \| Raphael Benhamou	en	biological-sciences Wix	robots llmsaihumans	emailphone	none
mbtoomey.net ↗	64 match 1 shared topics	Toomey Lab — Michigan State University	United States~ en	biological-sciences	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.