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Sitemaps Xml alternatives & similar sites

This site is not about sitemaps or xml, it is a collection of random articles — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jamiesoropoulos0.org ↗	66 match 1 shared topics	Jamie Soropoulos – A collection of myself and my work!	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
aamirahk.com ↗	64 match 1 shared topics	Home - XYZ Collection	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gabriellepalumbo.com ↗	64 match 1 shared topics	Gabrielle Palumbo – Uncover my collection of marketing materials & designs.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	full · 12
gacollective.com ↗	64 match 1 shared topics	Guerilla Artist Collective	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
aicusaco.com ↗	64 match 1 shared topics	Home \| Aicusa Collective	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
sj-collective.com ↗	64 match 1 shared topics	SJ Collective	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
gainmore5stars.com ↗	64 match 1 shared topics	Review Hub – Automate your review collection process.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
gainmore5starreviews.com ↗	64 match 1 shared topics	Review Hub – Automate your review collection process.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
markimperial.com ↗	64 match 1 shared topics	This is ActionBrand Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
galfercollective.com ↗	63 match 1 shared topics	Galfer Collective	en	marketing-and-advertising Reaction Commerce	robotsllmsaihumans	emailphone	none
markercollective.com ↗	63 match 1 shared topics	Marker Collective	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
czarnowskicollective.com ↗	63 match 1 shared topics	Experiential Marketing & Brand Activation \| Czarnowski Collective	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
3rdrockcollective.com ↗	63 match 1 shared topics	3rd Rock Collective	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
3rd-rock-collective.com ↗	63 match 1 shared topics	3rd Rock Collective	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
agilemarketingstories.net ↗	63 match 1 shared topics	Agile Marketing Stories – This webpage collects use cases from agile marketing practioneers.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
aemarketingcollective.com ↗	63 match 1 shared topics	AE Marketing Collective	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
meghanmartell.com ↗	63 match 1 shared topics	A Collection of Professional Samples – "Far and away the best prize that life offers is the chance to work hard at work worth doing." – Theodore Roosevelt	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
thetakeoverblog.com ↗	63 match 1 shared topics	Thetakeoverblog – this is a blog where we talk about numerus different topics	en	marketing-and-advertising WordPress WooCommerce	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.