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Cloudbutler - Customer Engagement Experience — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
noah-khomer.com ↗	68 match 1 shared topics	Noah Khomer - Project Management & Computer Science Portfolio	en	technology-and-computing	robotsllmsaihumans	emailphone	none
rainlabs.eu ↗	67 match 1 shared topics	Rainlabs - Experience-Driven Development	European Union en	technology-and-computing WordPress WooCommerce	robots llmsaihumans	emailphone	none
2martian.com ↗	67 match 1 shared topics	2Martian \| Building Digital Experiences	en	technology-and-computing	robotsllmsaihumans	emailphone	none
vitest-preview.com ↗	66 match 1 shared topics	Vitest Preview \| Visual Debugging Experience for Vitest	en	technology-and-computing	robotsllmsaihumans	emailphone	none
vo1t.com ↗	66 match 1 shared topics	Crafting Data-Driven Mobile Experiences with Precision	en	technology-and-computing Joomla	robots llmsaihumans	emailphone	none
adversaryengagementontology.org ↗	66 match 1 shared topics	AEO \| Open Source Community for the Adversary Engagement Ontology.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
21publish.com ↗	66 match 1 shared topics	21Publish - Content Management and Multi-User Blogs	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 6
rosslh.com ↗	66 match 1 shared topics	Ross Hill - Projects and Experience	en	technology-and-computing	robotsllmsaihumans	emailphone	none
allabout802.com ↗	65 match 1 shared topics	allabout802.com – A tech enthusiast's experiences of encounters with tech	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
luxor.tech ↗	65 match 1 shared topics	Luxor Technology \| The Full Stack Mining Experience	en	technology-and-computing	robots llmsaihumans	emailphone	none
aniketh.fun ↗	65 match 1 shared topics	Nexora - Elevate Your Digital Experience	en	technology-and-computing	robotsllmsaihumans	emailphone	none
spdownloads.com ↗	65 match 1 shared topics	Can New Technologies Transform Your Experience in Australia? \| SP Downloads	Australia~ en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 1
noaignite.co.uk ↗	65 match 1 shared topics	Full-service partner for digital experiences \| NoA Ignite	United Kingdom en	technology-and-computing	robotsllmsaihumans	emailphone	none
learntechfuture.com ↗	65 match 1 shared topics	Learn Tech Future – Let us learn together and share our real experiences !	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
noaignite.com ↗	65 match 1 shared topics	Full-service partner for digital experiences \| NoA Ignite	en	technology-and-computing	robotsllmsaihumans	emailphone	none
andrewrichardson.info ↗	65 match 1 shared topics	Andrew Richardson · Growth & Experimentation Engineer	en	technology-and-computing	robots llmsaihumans	emailphone	none
m365navigator.com ↗	65 match 1 shared topics	M365 Journey with Copilot, Search, and Graph – a place for me (and maybe some guests!) to jot down our experiences with Copilot, Graph, and Search	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
2nd.tools ↗	64 match 1 shared topics	2nd.tools — an experimentation platform	en	technology-and-computing	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.