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Daughter Dad Team | Keller Williams Realty Professional Partners — 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
rentzteam.com 84 match
2 shared topics
The Rentz Team | Keller Williams Realty Preferred | PLACE en real-estate-buying-and-selling robotsllmsaihumans emailphone none
darwaldenteam.com 83 match
2 shared topics
The Walden Team | Keller Williams Realty-Alaska Group | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
eastvalleylifestylepro.com 82 match
2 shared topics
The Goodman Taylor Team | Keller Williams Realty Sonoran Living United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
katiesellseastvalley.com 82 match
2 shared topics
The Goodman Taylor Team | Keller Williams Realty Sonoran Living United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
katiesellsaz.com 82 match
2 shared topics
The Goodman Taylor Team | Keller Williams Realty Sonoran Living United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
katiehomespro.com 82 match
2 shared topics
The Goodman Taylor Team | Keller Williams Realty Sonoran Living United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
medlinhomeandland.com 82 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
designsbytdg.com 82 match
2 shared topics
The Davenport Group | Rachel Davenport | Keller Williams Realty Partners United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
annakintown.com 81 match
2 shared topics
Anna Kilinski | Keller Williams Realty Intown Atlanta United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
detricewjohnson.com 81 match
2 shared topics
Detrice Johnson | Keller Williams Realty​ United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
mcrealtor.com 81 match
2 shared topics
MC Realty LLC | Keller Williams Everett United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
kellybellorealestate.com 81 match
2 shared topics
Keller Williams Realty Atlantic Partners Southside | Kelly Bello United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
kchomeconnectteam.com 81 match
2 shared topics
KC Home Connect​ | Michelle Saporito​ | Keller Williams Realty Partners, Inc.​ United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
stahomes4sale.com 81 match
2 shared topics
Tyree Tobler | Keller Williams Atlantic Partners United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
kendrawray.com 81 match
2 shared topics
Kendra Wray Team | Kendra Wray | Keller Williams Heritage Realty United States~ en real-estate-buying-and-sellingDrupal robotsllmsaihumans emailphone partial · 10
katieoddy.com 81 match
2 shared topics
Katie Oddy​ | Keller Williams Realty Metropolitan​ United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
rescuerealtor.com 81 match
2 shared topics
Jodie LoMeli | Keller Williams Realty - First in New York en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
doubleboldt.net 80 match
2 shared topics
Double Boldt Real Estate | Keller Williams Realty 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.