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The Galvis Group | KW — 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 Real Estate Buying And Selling →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
darwaldenteam.com 77 match
2 shared topics
The Walden Team | Keller Williams Realty-Alaska Group | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
4rentincolumbus.com 77 match
2 shared topics
The Heilman Group | Real Estate Services United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
kathychierogroup.com 77 match
2 shared topics
The Kathy Chiero Group | KW Greater Columbus Realty en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
dardengroupusa.com 77 match
2 shared topics
Darden Group | Real Broker LLC | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
brodiecapitolrealtygroup.com 77 match
2 shared topics
Brodie Capitol Realty Group | Hykeem Brodie​ | Keller Williams United United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
danmauz.com 77 match
2 shared topics
The Mauz Group | Dan Mauz | Keller Williams Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
broadduspartnersgroup.com 76 match
2 shared topics
Broaddus Partners Group | eXp Realty | PLACE United States~ en real-estate robotsllmsaihumans emailphone partial · 10
danmarpropertiesgroup.com 76 match
2 shared topics
Danmar Properties Group | Keller Williams Flagship | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
katherinsimancas.com 76 match
2 shared topics
Katherin Simancas Group | Realty of America United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
designsbytdg.com 76 match
2 shared topics
The Davenport Group | Rachel Davenport | Keller Williams Realty Partners United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
medlinhomeandland.com 76 match
2 shared topics
Medlin Home and Land | Dustin Medlin | Keller Williams Realty Diamond Partners Inc. United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
annsenn.com 75 match
2 shared topics
Ann Senn Real Estate Group | Ann Senn | Keller Williams Green Bay United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
bruinsrealtygroup.com 75 match
2 shared topics
Bruins Realty Group | Shannon Bruins | Keller Williams Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
vividnc.com 75 match
2 shared topics
VIVID Property Group United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
mcrealtygrouptexas.com 75 match
2 shared topics
McRealty Group | Ryan McDaniel | Keller Williams Heritage​ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
hensonhomesales.com 75 match
2 shared topics
Henson Homes-Real Estate Group | Kristen Henson | 3DX Real Estate United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
danrealtygroup.com 75 match
2 shared topics
Dan Realty Group | Dan Gjerseth | eXp Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
standiego.com 74 match
2 shared topics
Stan Diego Krimerman Real Estate Group | Stan Diego Krimerman | Keller Williams La Jolla United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10

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:

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.