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Chance Johnson, Marketing Professional | Calgary, Alberta — 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
marymatton.com ↗	76 match 1 shared topics	Mary Matton - Marketing Professional \| Resume & Portfolio	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
thomasjpearce.com ↗	75 match 1 shared topics	Marketing Professional \| Thomas J Pearce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
derekzender.com ↗	75 match 1 shared topics	Derek Zender – Digital Marketing Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
deutzly.com ↗	73 match 1 shared topics	Jouw freelance online marketing professional - Deutzly	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jacobbowencommunications.com ↗	73 match 1 shared topics	Jacob Bowen's Portfolio – PR and Marketing Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jasonandkellylaw.com ↗	73 match 1 shared topics	Jason and Kelly Law – Professional Marketing Team	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
drinkspr.com ↗	72 match 1 shared topics	Drinks marketing and branding professionals	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
brandchez.com ↗	72 match 1 shared topics	Cleantech Marketing Professional \| Brandon Sanchez \| Bay Area, CA	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jaimejramirez.com ↗	72 match 1 shared topics	Marketing Professional \| Strategic Growth & Digital Marketing Expert	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
designsuae.com ↗	72 match 1 shared topics	DesignsUAE - Professional Content Creation and Digital Marketing	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jakemailhot.com ↗	72 match 1 shared topics	Jake Mailhot – Jack-of-all-trades marketing professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jasonscottmccullough.com ↗	72 match 1 shared topics	Jason McCullough Portfolio \| Atlanta Based Marketing Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jameelaghann.com ↗	72 match 1 shared topics	Jameela Ghann, CM \| Marketing for Professional Services Firms in Calgary	Canada~ en	marketing-and-advertising Lightspeed	robotsllmsaihumans	emailphone	none
jaffepr.org ↗	72 match 1 shared topics	Professional Services Marketing & PR Agency \| Jaffe	en	marketing-and-advertising Drupal	robotsllmsaihumans	emailphone	none
jaffepr.net ↗	72 match 1 shared topics	Professional Services Marketing & PR Agency \| Jaffe	en	marketing-and-advertising Drupal	robotsllmsaihumans	emailphone	none
bostonwebpros.com ↗	72 match 1 shared topics	Boston Web Pros - Live Updates From Boston Web Marketing Professionals	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jamesearlstewart.com ↗	71 match 1 shared topics	James Stewart \| Marketing & Design Professional	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jaishreesaroha.com ↗	71 match 1 shared topics	Jaishree Saroha – Marketing Professional	en	marketing-and-advertising 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.