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 bi-baas.com

Bi Baas alternatives & similar sites

Bioinformatics as a service – new insight for life science — 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 Biological Sciences →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
csjweb.org ↗	30 match 1 shared topics	日本甲殻類学会入会・年会費サイト – 日本甲殻類学会へのご入会・会費のお支払いを行うサイトです。	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
keiochembio.com ↗	30 match 1 shared topics	Keio ChemBio Midori Lab.｜慶應義塾大学理工学部生命情報学科荒井研究室	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mcis-sagamed.info ↗	30 match 1 shared topics	佐賀大学医学部免疫学のホームページです \| 佐賀大学医学部免疫学分野は、分子から個体まで、基礎から治療まで、新しい視点で免疫の研究を行っています	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
ammcb.info ↗	30 match 1 shared topics	公益財団法人応用微生物学･分子細胞生物学研究奨励会	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
myrmecophiles.com ↗	30 match 1 shared topics	Home - 丸山宗利研究室	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
abs-brs.com ↗	30 match 1 shared topics	TOP - 日本大学応用生物科学科	ja	biological-sciences Jimdo	robotsllmsaihumans	emailphone	none
dh-gakushu.com ↗	30 match 1 shared topics	微生物学の部屋 \| 主に病原微生物について広く浅く知ることのできるサイトです。	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	partial · 1
keigokohara.com ↗	30 match 1 shared topics	記憶神経回路研究者　小原圭吾	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
rep-favo.com ↗	30 match 1 shared topics	レプファボ \| 爬虫類を身近に	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
mechanobioeng.org ↗	22 match 1 shared topics	Koichiro's page	ja	science WordPress	robotsllmsaihumans	emailphone	none
gcode40.org ↗	21 match 1 shared topics	一般社団法人GCODE – 人類社会を蝕む病根に進化論	ja	science WordPress	robotsllmsaihumans	emailphone	none
microbes-and-environments.info ↗	21 match 1 shared topics	Microbes and Environments　各種申請・登録フォーム – Microbes and Environments　各種申請・登録フォーム	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
azabuderukui.info ↗	20 match 1 shared topics	麻布大学の1年次から本物の研究を学ぶ！麻布出る杭プログラム \| 文部科学省より全国大学で唯一採択「動物共生科学ジェネラリスト育成プログラム」	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
genome-editing-breeding.com ↗	20 match 1 shared topics	ゲノム編集育種を考えるネットワーク \| 筑波大学つくば機能植物イノベーション研究センター（T-PIRC）設立　「ゲノム編集育種を考えるネットワーク」	ja	biological-sciences WordPress	robotsllmsaihumans	emailphone	none
e-eafes.org ↗	20 match 1 shared topics	一般社団法人日本生態学会	ja	environment	robotsllmsaihumans	emailphone	none
beauty-shiga.com ↗	20 match 1 shared topics	eOrder @ Sigma Genosys	ja	genetics	robotsllmsaihumans	emailphone	none
beauty-toyama.com ↗	20 match 1 shared topics	eOrder @ Sigma Genosys	ja	genetics	robotsllmsaihumans	emailphone	none
beautytoyama.com ↗	20 match 1 shared topics	eOrder @ Sigma Genosys	ja	genetics	robotsllmsaihumans	emailphone	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.