similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 📇AI Crawler Database900+ AI user agents + robots.txt gen ⚖️AI Crawler ComparisonCompare two AI crawlers head-to-head 💰AI Licensing / Pay-Per-CrawlWho can charge AI crawlers — Pay-Per-Crawl 🎛️AI Robots.txt Policy BuilderGoal-based robots.txt (cite me, don't train)🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔎Similar Site SearchFind websites like any domain 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to kennelaction.com

Kennelaction alternatives & similar sites

プリザーブドフラワーの加工 — 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 Flower Shopping →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
myperidot.com ↗	73 match 1 shared topics	プリザーブドフラワーなら動物のお花屋さんマイペリドット	ja	flower-shopping	robotsllmsaihumans	emailphone	none
akana.biz ↗	72 match 1 shared topics	akana (アカナ) \| イタリアン・デコパージュ & プリザーブドフラワー	ja	flower-shopping WordPress WP eCommerce	robotsllmsaihumans	emailphone	none
design-hanahana.net ↗	70 match 1 shared topics	Design room 華・花 \| 季節のお花やプリザーブドフラワーで、優雅なひとときを。	ja	flower-shopping WordPress	robotsllmsaihumans	emailphone	none
relish-web.com ↗	70 match 1 shared topics	名古屋・丸の内で20年のフラワー教室 RELISH｜生花・プリザーブド・体験レッスン	ja	flower-shopping	robotsllmsaihumans	emailphone	none
ginza-flower.com ↗	69 match 1 shared topics	銀座フラワー。	ja	flower-shopping	robotsllmsaihumans	emailphone	none
1day-flower.com ↗	69 match 1 shared topics	TOP│ワンデーフラワー	ja	flower-shopping	robotsllmsaihumans	emailphone	none
8ca.online ↗	69 match 1 shared topics	8CA \| ソープフラワーアレンジメント	ja	flower-shopping Wix Wix Stores	robots llmsaihumans	emailphone	none
decor-floral.com ↗	69 match 1 shared topics	東京の花屋・吉祥寺の花屋デコフローラルはフラワーボックスフラワー、プリザーブドフラワーの花贈り	ja	flower-shopping	robotsllmsaihumans	emailphone	none
deco-green.com ↗	68 match 1 shared topics	フラワーデザイン - フラワーデザイン	ja	flower-shopping Jimdo	robotsllmsaihumans	emailphone	none
decoretta.com ↗	67 match 1 shared topics	フラワーショップ \| decoretta	ja	flower-shopping	robotsllmsaihumans	emailphone	none
e-flower.biz ↗	67 match 1 shared topics	E-flower（イーディスフラワーショップ）	ja	flower-shopping	robotsllmsaihumans	emailphone	none
millefleur-mf.com ↗	67 match 1 shared topics	大阪のフレッシュフラワー・プリザーブドフラワー・アーティフィシャルフラワー教室『Mille Fleur』ミルフルール・JPFA・Ruvery認定	ja	flower-shopping	robotsllmsaihumans	emailphone	none
a-kaka.net ↗	67 match 1 shared topics	アトリエ kaka〜お花の寄せうえギャザリング・ブリコラージュフラワー・インテリアプランツ	ja	flower-shopping	robotsllmsaihumans	emailphone	none
meistyle.net ↗	66 match 1 shared topics	茨城・千葉プリザーブドフラワー&アーティフィシャルフラワー教室 - 茨城県龍ヶ崎市プリザーブド＆アーティフィシャルフラワー教室	ja	flower-shopping Jimdo	robotsllmsaihumans	emailphone	none
natureworld-shop.com ↗	66 match 1 shared topics	フラワーエッセンス専門店のネイチャーワールド	ja	flower-shopping WordPress	robotsllmsaihumans	emailphone	none
reilyflower.com ↗	66 match 1 shared topics	リリィフラワー Re'ily Flower – 馬橋駅前の花屋	ja	flower-shopping WordPress	robotsllmsaihumans	emailphone	none
zonnebloom.com ↗	66 match 1 shared topics	千家古流（華道/フラワーアレンジ教室）	ja	flower-shopping	robotsllmsaihumans	emailphone	none
zuika-flour.com ↗	66 match 1 shared topics	生花祭壇、花束・ブーケ等のお祝い品フラワーショップ瑞花	ja	flower-shopping	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.