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Velkommen til | Aarhus Bibliotekerne — 12 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 Books And Literature →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
martinjensen.info 60 match
1 shared topics
Forfatter, forfatterskab og bøger | Martin Jensen | Kort om mine bøger da books-and-literature robotsllmsaihumans emailphone none
mikkelnj.org 60 match
1 shared topics
Mikkel N. Jørgensen da books-and-literatureWordPress robotsllmsaihumans emailphone none
bog.nu 60 match
1 shared topics
Find alle danske boganmeldelser og de bedste bogpriser - bog.nu da books-and-literature robotsllmsaihumans emailphone none
amager.org 60 match
1 shared topics
Dines Bogø - Forlaget DB, Dragør da books-and-literature robotsllmsaihumans emailphone none
fuckitshipit.org 60 match
1 shared topics
Ny bog af Stine Mølgaard og Jacob Bøtter da books-and-literature robotsllmsaihumans emailphone none
2feetentertainment.com 60 match
1 shared topics
2 Feet Entertainment da books-and-literatureWordPressWooCommerce robotsllmsaihumans emailphone none
beritlund.com 60 match
1 shared topics
Berit Lund | da books-and-literatureWordPress robotsllmsaihumans emailphone none
deeppracticing.com 60 match
1 shared topics
Home Page da books-and-literature robotsllmsaihumans emailphone full · 18
gittemieeriksen.com 60 match
1 shared topics
Gittemie Eriksen – Author da books-and-literatureWordPressWooCommerce robotsllmsaihumans emailphone none
markgazel.blog 30 match
1 shared topics
Mark Gazels blog - Film, bøger, musik og WordPress da books-and-literatureWordPress robotsllmsaihumans emailphone none
elsemarielehman.net 30 match
1 shared topics
Else Marie Lehman – Freelancejournalist. Forfatter. da books-and-literatureWordPressWooCommerce robotsllmsaihumans emailphone none
afspejlinger.org 30 match
1 shared topics
Afspejlinger - kunst kultur politik samfund da books-and-literatureWordPress 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:

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.