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Danmar Properties Group | Keller Williams Flagship | PLACE — 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
davebulava.com 83 match
2 shared topics
Bulava Group​ | Keller Williams Premiere Properties​ United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
darwaldenteam.com 82 match
2 shared topics
The Walden Team | Keller Williams Realty-Alaska Group | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
keitnergroup.com 82 match
2 shared topics
The Keitner Group | Keller Williams Referred Urban | PLACE Canada~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
keciascampus.com 81 match
2 shared topics
Kecia Stewart | Keller Williams Capital Properties - Fairfax United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
htxhomes4sale.com 80 match
2 shared topics
HTX Realty Group | Austin Jackson | Keller Williams Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
danmauz.com 80 match
2 shared topics
The Mauz Group | Dan Mauz | Keller Williams Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
davidcordeiro.com 80 match
2 shared topics
Cordeiro Group | David Cordeiro | Keller Williams Honolulu United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
keating-group.com 80 match
2 shared topics
Keating Group | Jim Keating | Keller Williams Realty Centre United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
rentzteam.com 80 match
2 shared topics
The Rentz Team | Keller Williams Realty Preferred | PLACE en real-estate-buying-and-selling robotsllmsaihumans emailphone none
hhgre.com 80 match
2 shared topics
Harber Home Group | Matt Harber | Keller Williams Tacoma United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
davenelsongroup.com 80 match
2 shared topics
The Nelson Group Real Estate | Keller Williams Realty East Idaho | PLACE en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
bruinsrealtygroup.com 80 match
2 shared topics
Bruins Realty Group | Shannon Bruins | Keller Williams Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
higherperspectivegroup.com 80 match
2 shared topics
Higher Perspective Group | Jamie Proctor | Keller Williams Citywide United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
higherlevelrealestate.com 80 match
2 shared topics
Higher Level Homes Group | Adam Benmbark | Keller Williams St Pete United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
higherlevelhomesteam.com 80 match
2 shared topics
Higher Level Homes Group | Adam Benmbark | Keller Williams St Pete United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
higherlevelhomesgroup.com 80 match
2 shared topics
Higher Level Homes Group | Adam Benmbark | Keller Williams St Pete United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
annsenn.com 80 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
mcrealtygrouptexas.com 80 match
2 shared topics
McRealty Group | Ryan McDaniel | Keller Williams Heritage​ 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.