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Vantage Real Estate Group | Michael Flores | Keller Williams Signature Realty — 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
switzerrealestategroup.com 84 match
2 shared topics
Switzer Real Estate Group | Amanda Switzer | Keller Williams Realty Eugene & Springfield US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
placevegas.com 83 match
2 shared topics
Bush Realty Group | Michelle Bush | Keller Williams VIP US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
johnpaulushomes.com 82 match
2 shared topics
John Paulus Real Estate | Keller Williams Realty Metro Atlanta US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
dreamdoorstn.com 81 match
2 shared topics
Beth Torrence Shearon | Dream Doors Real Estate Group | Keller Williams Franklin US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
caryteamrealty.com 81 match
2 shared topics
Cary Team Realty | Keller Williams Realty Group | PLACE US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
lyonsteam.com 81 match
2 shared topics
Lyons Team Real Estate | Mike Lyons | Keller Williams Indy Metro North US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
platzplace.com 81 match
2 shared topics
Joe Platz | The Platz Group | Keller Williams Realty Boise US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
farrowhomesrealestate.com 81 match
2 shared topics
Farrow Homes | Meagan Farrow | Keller Williams Signature Partners US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
nancymatt.com 81 match
2 shared topics
Nancy Matt Team | Keller Williams Real Estate US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
hanshagmeier.com 80 match
2 shared topics
Hans Hagmeier Real Estate | Hans Hagmeier | Keller Williams North Seattle US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
cascadiahometeam.com 80 match
2 shared topics
Cascadia Home Team | Keller Williams Realty en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
nancybergeron.com 80 match
2 shared topics
Nancy Bergeron | The Bergeron Group | Keller Williams Realty US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
basnightgarner.com 80 match
2 shared topics
Bradberry Garner Real Estate | Keller Williams Crystal Coast US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
dematteiteam.com 80 match
2 shared topics
DeMattei Real Estate Team | Chris DeMattei | Keller Williams Realty Roseville | PLACE US~ en real-estate robotsllmsaihumans emailphone partial · 10
upstategarnergroup.com 80 match
2 shared topics
The Upstate Garner Group | Rita Garner | Keller Williams Western Upstate US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
lyhhomes.com 80 match
2 shared topics
Tracy Ellett​ | Keller Williams the Realty Group​ US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
joeplatz.com 80 match
2 shared topics
The Platz Group | Joe Platz | Keller Williams | PLACE US~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
johnstonteamrealestate.com 80 match
2 shared topics
Johnston Team Real Estate | Jeanne Johnston-Sanders | Keller Williams Sunset Corridor US~ 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.