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In-Home Personal Training in Los Angeles, CA | KATTFITTNESS — 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 Fitness And Exercise →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
vivpt.com ↗	74 match 1 shared topics	vivpt \| Personal Training	en	fitness-and-exercise	robotsllmsaihumans	emailphone	none
outpacefitness.net ↗	73 match 1 shared topics	Outpace Fitness Club \| In-Home Personal Training Lancaster, PA	United States~ en	fitness-and-exercise Squarespace Magento	robotsllmsaihumans	emailphone	none
2ndwindgym.com ↗	72 match 1 shared topics	2nd Wind Gym — In-Home Personal Training That Comes To You	United States~ en	fitness-and-exercise Sanity	robots llmsaihumans	emailphone	none
baystatehomefitness.com ↗	72 match 1 shared topics	In-Home Personal Trainer Plymouth MA \| Bay State Fitness	en	fitness-and-exercise WordPress WooCommerce	robotsllmsaihumans	emailphone	none
vladkfit.com ↗	72 match 1 shared topics	VladKFit - Elite Personal Training & Coaching	en	fitness-and-exercise	robotsllmsaihumans	emailphone	none
aicolchesterpersonaltrainer.co.uk ↗	72 match 1 shared topics	Expert Personal Training online and in Hurghada	United Kingdom en	fitness-and-exercise WordPress WooCommerce	robotsllmsaihumans	emailphone	none
outwrkfit.com ↗	72 match 1 shared topics	OUTWRK Fitness — 1:1 Personal Training & Coaching	en	fitness-and-exercise	robotsllmsaihumans	emailphone	none
bdxfitness.com ↗	72 match 1 shared topics	Premier Personal Training Gym in Shelton, CT \| BDxFitness	en	fitness-and-exercise WordPress WooCommerce	robotsllmsaihumans	email phone	none
moonspt.com ↗	72 match 1 shared topics	Moons PT \| Personal Training Online & In Person	en	fitness-and-exercise Prismic	robotsllmsaihumans	emailphone	none
1ononefitness.net ↗	72 match 1 shared topics	1 on One Fitness — Personal Training in Fremont, CA	United States~ en	fitness-and-exercise	robots llmsaihumans	emailphone	none
mcfp-fitness.com ↗	72 match 1 shared topics	MCFP Fitness & Wellness \| Personal Trainer NYC	United States~ en	fitness-and-exercise	robots llmsaihumans	emailphone	none
oxygenfitnessclub.com ↗	71 match 1 shared topics	OXYGEN Fitness Club \| Gym & Personal Training in Markham	Canada~ en	fitness-and-exercise	robotsllmsaihumans	email phone	none
morristrainers.com ↗	71 match 1 shared topics	Morris Fitness \| Personal Fitness Training In NYC	en	fitness-and-exercise	robotsllmsaihumans	emailphone	none
koutrasgym.com ↗	71 match 1 shared topics	The Gym Koutras \| Gym & Personal Training in Nicosia \| Koutras Gym	en	fitness-and-exercise	robotsllmsaihumans	emailphone	none
360personaltrainingmarin.com ↗	71 match 1 shared topics	360 personal training marin	United States~ en	fitness-and-exercise Squarespace Squarespace Commerce	robotsllmsaihumans	email phone	none
moorethanfitness.com ↗	71 match 1 shared topics	The Best Personal Training in Richmond - Moore Than Fitness	en	fitness-and-exercise WordPress	robotsllmsaihumans	emailphone	none
vituspersonaltraining.com ↗	71 match 1 shared topics	Vitus Personal Training	en	fitness-and-exercise	robotsllmsaihumans	emailphone	none
lapersonaltraining.fitness ↗	71 match 1 shared topics	L.A. Personal Training \| Taverham, Norwich	en	fitness-and-exercise Squarespace Magento	robotsllmsaihumans	email phone	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.