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Focusing Training | Learning how to focus — 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 Workshops And Classes →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
learningaxies.com ↗	69 match 1 shared topics	Learningaxies \| Learning that matters.	en	workshops-and-classes	robotsllmsaihumans	emailphone	partial · 8
learninghowtokiss.com ↗	68 match 1 shared topics	Learning How to Kiss \| experiencing life through the senses	en	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
breathepath.com ↗	68 match 1 shared topics	Equine Empowered Learning \| Paths To Purpose \| Terrey Hills	en	workshops-and-classes Wix	robots llmsaihumans	emailphone	none
foresteducator.com ↗	68 match 1 shared topics	Online Forest Training \| Forest Educator Training	en	workshops-and-classes Wix	robots llmsaihumans	emailphone	none
bricksbotsbeakers.com ↗	67 match 1 shared topics	Home to Hands-On Minds-On Learning \| Bricks Bots & Beakers	en	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
flowtrainings.com ↗	67 match 1 shared topics	Daniela golbert \| Flow Training \| Hukok	en	workshops-and-classes Wix	robots llmsaihumans	emailphone	none
hypnotiststageacademy.com ↗	67 match 1 shared topics	Comedy Hypnosis & Stage Hypnosis Training \| Learn Stage Hypnosis UK, USA & Online	en	workshops-and-classes WordPress Lightspeed	robotsllmsaihumans	emailphone	none
dearmouringarts.com ↗	67 match 1 shared topics	DEARMOURING ARTS Explore, Experience, Learn - First Training Of This Kind	en	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
leaf-arrow.com ↗	67 match 1 shared topics	Leaf & Arrow Learning Hub	en	workshops-and-classes WordPress WooCommerce	robots llmsaihumans	emailphone	none
sirafly.com ↗	67 match 1 shared topics	FLYoga Kids Teacher Training Course	en	workshops-and-classes	robotsllmsaihumans	emailphone	none
ccliexperience.org ↗	66 match 1 shared topics	CCLI - Cultural Competence Learning Institute	en	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
applewoodequine.com.au ↗	66 match 1 shared topics	Applewood Equine Assisted Learning	Australia en	workshops-and-classes Squarespace Magento	robotsllmsaihumans	emailphone	none
avenuetraining.com.au ↗	66 match 1 shared topics	Avenue Training	Australia en	workshops-and-classes Shopify	robots llmsaihumans	emailphone	none
learningwithlado.com ↗	66 match 1 shared topics	Learning with Lado \| Learn to See Like An Artist - Join Now	en	workshops-and-classes Squarespace Magento	robotsllmsaihumans	emailphone	none
trainingthrutrust.com ↗	66 match 1 shared topics	Online Horse Training, Camps and Clinics - Training Thru Trust	en	workshops-and-classes	robotsllmsaihumans	emailphone	none
learningtreeofarts.com ↗	66 match 1 shared topics	The Learning Tree of Arts \| Art Classes for All Ages	United States~ en	workshops-and-classes WordPress WooCommerce	robotsllmsaihumans	email phone	none
probloggerevents.com ↗	66 match 1 shared topics	Home - ProBlogger Training Events	en	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
sirabcp.com ↗	66 match 1 shared topics	FLYoga - SiRA FLY Yoga Kids FLYoga Kids Teacher Training Course	en	workshops-and-classes WordPress WooCommerce	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.