Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to broughtonproperties.com

Broughtonproperties alternatives & similar sites

Christopher Broughton | Broughton Properties Team | KW Platform — 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
olverabolton.com 76 match
2 shared topics
Julio Olvera | Olvera Bolton Properties United States~ en real-estate-buying-and-sellingDrupal robotsllmsaihumans emailphone partial · 10
elementpropertiessouth.com 76 match
2 shared topics
Element Properties South United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
danmarpropertiesgroup.com 75 match
2 shared topics
Danmar Properties Group | Keller Williams Flagship | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
bassiesignatureproperties.com 75 match
2 shared topics
Helen Bassie​ | Bassie Signature Properties United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
davebulava.com 74 match
2 shared topics
Bulava Group​ | Keller Williams Premiere Properties​ United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
keciascampus.com 74 match
2 shared topics
Kecia Stewart | Keller Williams Capital Properties - Fairfax United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
barrygreenhomes.com 74 match
2 shared topics
Barry Green Homes | Pinnacle Estate Properties, Inc United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
danidormanhomes.com 74 match
2 shared topics
Dani Dorman Homes Team | Dani Dorman United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
daughterdad.com 74 match
2 shared topics
Daughter Dad Team | Keller Williams Realty Professional Partners United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
rentzteam.com 74 match
2 shared topics
The Rentz Team | Keller Williams Realty Preferred | PLACE en real-estate-buying-and-selling robotsllmsaihumans emailphone none
starrteam.com 74 match
2 shared topics
Starr Team | LPT Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
darwaldenteam.com 73 match
2 shared topics
The Walden Team | Keller Williams Realty-Alaska Group | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
bayfronthomesearch.com 73 match
2 shared topics
Bayfront Investment Team | REAL Broker | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
vividnc.com 73 match
2 shared topics
VIVID Property Group United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
bryanmorristeam.com 73 match
2 shared topics
Bryan Morris Team | Bryan Morris | William Pitt Sotheby's International Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
2goodre.com 73 match
2 shared topics
The Lerma Team | Laura Lerma | 2Good Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
katie-k.com 73 match
2 shared topics
Katie K Team | Katie Karczewski | Keller Williams Grand Rapids East United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
mcardleteam.com 73 match
2 shared topics
McArdle Team | Brian & Sharna McArdle | Keller Williams Greater 360 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.