similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to castom.fi

Castom alternatives & similar sites

Oma koti hyvällä paikalla. | Castom Oy | Jyväskylä — 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
peabkodit.fi ↗	64 match 2 shared topics	Uudet asunnot hyvillä sijainneilla - Peab Koti	Finland fi	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
peabkoti.fi ↗	64 match 2 shared topics	Uudet asunnot hyvillä sijainneilla - Peab Koti	Finland fi	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
olas.fi ↗	61 match 2 shared topics	Katso Myytävät Asunnot \| Olas Group Oy	Finland fi	real-estate-buying-and-selling WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ostella.fi ↗	33 match 1 shared topics	Rantatontit ja laadukkaat omakotitalot \| Joensuu \| Espoo \| Helsinki	Finland fi	houses	robotsllmsaihumans	email phone	none
op-koti.fi ↗	32 match 1 shared topics	Kiinteistönvälittäjä lähelläsi	Finland fi	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
openmarket.fi ↗	31 match 1 shared topics	Tietoa meistä \| Open Market Kiinteistönvälitys – Luotettava Asuntokauppa	Finland fi	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
openmarketplatform.com ↗	31 match 1 shared topics	Tietoa meistä \| Open Market Kiinteistönvälitys – Luotettava Asuntokauppa	fi	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
samusiponen.com ↗	31 match 1 shared topics	Samu Siponen	fi	real-estate-buying-and-selling	robotsllmsaihumans	email phone	none
omaloma.fi ↗	30 match 1 shared topics	Osta tai myy lomaosake - Omaloma.net	Finland fi	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
ostametsaa.fi ↗	30 match 1 shared topics	Metsätilat ja metsäomaisuuden hoito - Ostametsää.fi	Finland fi	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
ostammeasuntoja.fi ↗	30 match 1 shared topics	Ostamme Asuntoja	Finland fi	real-estate-buying-and-selling WordPress	robotsllmsaihumans	emailphone	none
pekanniemi.fi ↗	30 match 1 shared topics	pekanniemi	Finland fi	houses	robotsllmsaihumans	emailphone	none
omaheimo.fi ↗	30 match 1 shared topics	Raisa Omaheimo \|	Finland fi	houses WordPress WooCommerce	robotsllmsaihumans	emailphone	none
paimensaari.fi ↗	30 match 1 shared topics	Paimensaari	Finland fi	houses WordPress	robotsllmsaihumans	emailphone	none
onnellisetkoditlkv.fi ↗	30 match 1 shared topics	Onnelliset Kodit LKV Oy	Finland fi	real-estate-buying-and-selling WordPress	robotsllmsaihumans	email phone	none
parha.fi ↗	30 match 1 shared topics	Etusivu - Parha Oy	Finland fi	houses WordPress	robotsllmsaihumans	emailphone	none
omakotilkv.fi ↗	24 match 1 shared topics	Kiinteistönvälitys \| Ei ennakkomaksua \| Oma Koti LKV	Finland fi	real-estate-buying-and-selling	robotsllmsaihumans	emailphone	none
otsolkv.fi ↗	22 match 1 shared topics	Kiinteistönvälitys Otso LKV Oy – Vahvaa välittämistä	Finland fi	real-estate-renting-and-leasing WordPress WooCommerce	robotsllmsaihumans	email phone	none

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.