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James Danley & Associates | Keller Williams Domain — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
livelovehomes.com ↗	80 match 2 shared topics	Live Love Homes \| Keller Williams Ballantyne \| PLACE	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
voylesrealty.com ↗	79 match 2 shared topics	Voyles Realty \| Josh Voyles \| Keller Williams Saint Louis	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
vovkhomes.com ↗	78 match 2 shared topics	Alana Vovk \| Keller Williams Greater Metropolitan	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
livianhomesct.com ↗	78 match 2 shared topics	Sandie Terenzi \| Keller Williams Legacy Partners \| PLACE	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
atlas-north.com ↗	78 match 2 shared topics	Atlas North \| Keller Williams Realty Professionals \| PLACE	United States~ en	real-estate-buying-and-selling	robotsllmsai humans	emailphone	partial · 10
livianhomesma.com ↗	78 match 2 shared topics	Sandie Terenzi \| Keller Williams Merrimack Valley \| PLACE	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
myhomeincentraloregon.com ↗	78 match 2 shared topics	Heather MacDowall \| Keller Williams Realty Central Oregon	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
lizadavisgroup.com ↗	78 match 2 shared topics	Liza Davis Group \| Keller Williams Sunset Corridor	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
livianascend.com ↗	78 match 2 shared topics	Livian Ascend \| Keller Williams North Atlanta \| PLACE	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
livianestates.com ↗	78 match 2 shared topics	Livian Estates Team \| Keller Williams Greenville Upstate \| PLACE	United States~ en	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
livianvermont.com ↗	78 match 2 shared topics	Livian Vermont \| Keller Williams Vermont \| PLACE	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
livhinesgroup.com ↗	78 match 2 shared topics	Liv Hines Group \| Olivia Hines \| Keller Williams Advisors Realty	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
neohomepros.com ↗	77 match 2 shared topics	Milestone Property Group \| Keller Williams Living \| PLACE	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
myhomesearchfl.com ↗	77 match 2 shared topics	DB Team \| Donnie Brookman \| Keller Williams Advantage III Realty	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
voneshrealestateteam.com ↗	77 match 2 shared topics	Vonesh Real Estate Team \| Keller Williams Inspire Realty \| PLACE	en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
livingincookeville.com ↗	77 match 2 shared topics	The Ferrell Group \| Casey Ferrell \| Keller Williams Cookeville	United States~ en	real-estate-buying-and-selling	robots llms ai humans	emailphone	partial · 10
nelsonrg.com ↗	77 match 2 shared topics	Nelson Realty Group \| Kiara Nelson \| Keller Williams Ann Arbor	United States~ en	real-estate-buying-and-selling	robotsllms ai humans	email phone	none
lizkeepsitrealaz.com ↗	77 match 2 shared topics	Liz Keeps It Real - Estate \| Brittany Francis \| Keller Williams Phoenix	United States~ en	real-estate-buying-and-selling	robots llms ai humans	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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.