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Bobby Davidson, business, technology, marketing, dog and fitness — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
bobbydavidson.com ↗	100 match 1 shared topics	Bobby Davidson, business, technology, marketing, dog and fitness	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bobbyjdavidson.com ↗	100 match 1 shared topics	Bobby Davidson, business, technology, marketing, dog and fitness	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
tuanlevang.com ↗	71 match 1 shared topics	Aimax - Marketing Technology Agency	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
fbp-llc.co ↗	71 match 1 shared topics	Specialized marketing, technology, and consulting for competitive industries.	Colombia en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1b-solutions.com ↗	71 match 1 shared topics	1B Solutions \| Marketing Technology	en	marketing-and-advertising Wix	robotsllmsaihumans	emailphone	none
thekoncordiagroup.com ↗	70 match 1 shared topics	OneMagnify \| Marketing, Data & Technology Agency	en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
meenakshifoundation.org ↗	70 match 1 shared topics	Michaelahlstrom.net LLC \| Marketing and Business Consultancy	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
rkbrandtech.com ↗	70 match 1 shared topics	RK Brand Tech Small Business Marketing & IT Services	en	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
bradleyandsteele.com ↗	70 match 1 shared topics	Jason Bradley Steele - Marketing, developer, technology consultant	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2-com.org ↗	70 match 1 shared topics	Marketing Technology, Printed Parts & Logistics \| 2-COM	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2-com.net ↗	70 match 1 shared topics	Marketing Technology, Printed Parts & Logistics \| 2-COM	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
robynhazen.com ↗	70 match 1 shared topics	Robyn Hazen \| Marketing and Business Solutions	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
acmepath.com ↗	70 match 1 shared topics	AcmePath \| Digital Marketing + Creative Technology	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
newtechnolgy.com ↗	70 match 1 shared topics	New Technology Plovdiv Ltd \| Digital marketing company	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
noosaville.net.au ↗	70 match 1 shared topics	Noosaville Business Marketing	Australia en	marketing-and-advertising Joomla	robotsllmsaihumans	emailphone	none
nexvoinc.com ↗	70 match 1 shared topics	Nexvo Solutions Inc. \| Digital Marketing & Technology Company	Canada~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
tvaram.com ↗	70 match 1 shared topics	Tvaram - Marketing Technology Platforms \| Email, Voice AI & Business Intelligence	India~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
acemarketingtools.com ↗	70 match 1 shared topics	Marketing life: business and techniques	en	marketing-and-advertising WordPress	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.