similar sites

Browse

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 →

Sites similar to daniellensing.com

Daniellensing alternatives & similar sites

Daniels Tagesmeldungen - Kleine IT-Episoden, der Diabetes & das wahre Leben — 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 Diabetes →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ooe-diabetestag.at ↗	67 match 1 shared topics	oberösterreichischer Diabetestag	Austria de	diabetes	robotsllmsaihumans	emailphone	none
onetouch.at ↗	65 match 1 shared topics	Blutzuckermessgeräte, Zubehör & Diabetes-Tipps \| OneTouch®	Austria de	diabetes Drupal	robotsllmsaihumans	emailphone	none
nh-diabetesberatung.de ↗	65 match 1 shared topics	Nicole Herrmann Ihre Mobile Diabetesberaterin	Germany de	diabetes Weebly	robotsllmsaihumans	email phone	none
typ1undich.com ↗	64 match 1 shared topics	typ1undich - Diabetes Awareness für Frauen	de	diabetes Weebly	robotsllmsaihumans	emailphone	none
ddg.info ↗	64 match 1 shared topics	Startseite: Deutsche Diabetes Gesellschaft e.V.	de	diabetes TYPO3	robotsllmsaihumans	emailphone	none
chilldeinevorurteile.com ↗	63 match 1 shared topics	Chill Deine Vorurteile – Missverständnisse, Vorurteile, Bullshit und Stigmata zum Thema Diabetes Typ 1	de	diabetes WordPress	robotsllmsaihumans	emailphone	none
internist-huber.at ↗	63 match 1 shared topics	Dr. Joakim Huber - Internist Perchtoldsdorf \| Mödling \| Wien Liesing mit Schwerpunkt Diabetes und Adipositas	Austria de	diabetes	robotsllmsaihumans	email phone	none
noraweweler.de ↗	63 match 1 shared topics	Glukose Balance – Für Frauen mit Insulinresistenz & Prädiabetes \| Nora Weweler	Germany de	diabetes	robotsllmsaihumans	emailphone	none
niere-sb.de ↗	63 match 1 shared topics	Nieren- und Diabeteszentrum Saarbrücken	Germany de	diabetes	robotsllmsaihumans	emailphone	none
nierenzentrum-saar.de ↗	63 match 1 shared topics	Nieren- und Diabeteszentrum Saarbrücken	Germany de	diabetes	robotsllmsaihumans	emailphone	none
nierenzentrum-saarbruecken.de ↗	63 match 1 shared topics	Nieren- und Diabeteszentrum Saarbrücken	Germany de	diabetes	robotsllmsaihumans	emailphone	none
neuros-schulung.de ↗	63 match 1 shared topics	Diabetes-Schulungsprogramme	Germany de	diabetes	robotsllmsaihumans	emailphone	none
diabetestherapie.at ↗	62 match 1 shared topics	Gewebszucker zur Therapie (CGM) des Diabetes mellitus - diabetestherapies Webseite!	Austria de	diabetes Jimdo	robotsllmsaihumans	emailphone	none
medical-advice.at ↗	62 match 1 shared topics	Ordination Dr. Helmut Pailer	Austria de	diabetes	robotsllmsaihumans	email phone	none
ichbindiabetiker.net ↗	62 match 1 shared topics	Ich bin Diabetiker – Ein Blog von einem Diabetiker für sich selbst (und evtl. andere Diabetiker)	de	diabetes WordPress	robotsllmsaihumans	emailphone	none
ceda2026.com ↗	61 match 1 shared topics	CEDA Congress 2026	de	diabetes WordPress	robotsllmsaihumans	emailphone	none
niere-saar.de ↗	61 match 1 shared topics	Protokoll der Mitgliederversammlung Niere Saar e.V. vom 25.11.2025 - nieresaars Webseite!	Germany de	diabetes Jimdo	robotsllmsaihumans	emailphone	none
niere2go.de ↗	61 match 1 shared topics	niere2go – Der deutschsprachige Nephrologie-Podcast	Germany de	diabetes WordPress	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.