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The Kendra Todd Group | Keller Williams Greater Seattle — 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
thekinggroupsc.com 83 match
2 shared topics
The King Group | Keller Williams Realty | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
thefurlangroup.com 82 match
2 shared topics
The Furlan Group | Keller Williams Classic Group United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
themateyokegroup.com 82 match
2 shared topics
The Mateyoke Group | Keller Williams Legacy Group United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
musiccitysold.com 82 match
2 shared topics
The Houk Group | Keller Williams Realty Franklin | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
benchmarkgroupre.com 82 match
2 shared topics
The Benchmark Group | Keller Williams Treasure Coast United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
themaesgroup.com 82 match
2 shared topics
The Maes Group | Annestelle Maes | Keller Williams Luxury​ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
themendozaregroup.com 82 match
2 shared topics
The Mendoza Group | Ana Mendoza | Keller Williams United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
thefravelgroup.com 81 match
2 shared topics
The Fravel Group | John Fravel | Keller Williams Realty United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
theashleygroupok.com 81 match
2 shared topics
The Ashley Group | Keller Williams Preferred Realty | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
deluca-group.com 81 match
2 shared topics
The DeLuca Group | Nicholas DeLuca | Keller Williams United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
gingerbaxtergroup.com 81 match
2 shared topics
Ginger Baxter Group | Keller Williams Grand Rapids North United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
thebesthomeprice.com 81 match
2 shared topics
The Price Group | Keller Williams Platinum Realty | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
milhousingrealtytexascoast.com 81 match
2 shared topics
MilHousing Realty Group | Keller Williams City View United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
theharrisonbeachergroup.com 81 match
2 shared topics
Coalition Properties Group | Keller Williams Capital Properties United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone none
themcmorrangroup.com 81 match
2 shared topics
The McMorran Group | Jen McMorran | Keller Williams Elite United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
thebergaminigroup.com 81 match
2 shared topics
The Bergamini Group | Keller Williams Arizona Realty | PLACE United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
thebaynebrookgroup.com 80 match
2 shared topics
The BayneBrook Group | Holly Brumble | Keller Williams Advantage United States~ en real-estate-buying-and-selling robotsllmsaihumans emailphone partial · 10
thebeaconhomegroup.com 80 match
2 shared topics
Katie Franco | The Beacon Home Group | Keller Williams Realty Yuma 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.