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LemonBits - Blogging About Microsoft Teams, Microsoft 365 and SharePoint — 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 Cloud Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
trycloudwell.com ↗	71 match 2 shared topics	Solutions for Microsoft 365 and Azure - Cloudwell	United States~ en	cloud-computing WordPress	robotsllmsaihumans	email phone	none
brazenbytes.com ↗	70 match 2 shared topics	BrazenBytes - Microsoft 365 Solution Experts	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
simondoy.com ↗	70 match 2 shared topics	Doy's Microsoft 365 and Azure Dev Blog \| Simon Doy blogs shares knowledge, expertise on Microsoft 365, Microsoft Azure and Business Transformation.	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
broadpointtech.com ↗	68 match 2 shared topics	Microsoft Dynamics 365 Implementation and Support \| Velosio	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nconcertsolutions.com ↗	68 match 2 shared topics	Microsoft Dynamics 365 Implementation and Support \| Velosio	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
signature-esystems.com ↗	68 match 2 shared topics	Microsoft Dynamics 365 Implementation and Support \| Velosio	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sionjlewis.com ↗	68 match 2 shared topics	S. J. Lewis 365 Solutions: A passion for building robust Microsoft 365 solutions	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
amandasterner.com ↗	68 match 2 shared topics	Amanda Sterner's blog - Making the most out of M365 and Microsoft Teams 💜	en	technology-and-computing Wix	robots llmsaihumans	emailphone	none
dcskyline.com ↗	66 match 2 shared topics	DC Skyline – blog – A blog about IT related stuff and sometimes something else too	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
ncona.com ↗	66 match 2 shared topics	ncona.com – Learning about computers	en	technology-and-computing	robotsllmsaihumans	emailphone	none
zostay.com ↗	66 match 2 shared topics	Sterling has too many projects - Blogging about programming, microcontrollers & electronics, 3D printing, and whatever else...	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
sibeeshvenu.com ↗	66 match 2 shared topics	Sibeesh Venu - Senior Software Engineer at Microsoft	en	technology-and-computing	robotsllmsaihumans	emailphone	none
3yn.io ↗	66 match 2 shared topics	Leading High-Tech Company for Microsoft Services \| 3YN \| 3YN	en	cloud-computing	robotsllmsaihumans	emailphone	none
lduran.com ↗	66 match 2 shared topics	Luis Duran – Let's talk about SharePoint	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
accessecm.com ↗	66 match 2 shared topics	AccessECM \| Sitecore, SharePoint, Coveo and Azure Solutions	United States~ en	cloud-computing WordPress	robotsllmsaihumans	email phone	none
nadirhussain.com ↗	65 match 2 shared topics	Nadir Hussain — Data Consultant & Engineer \| Ex Gold MLSA @ Microsoft	en	cloud-computing	robotsllmsaihumans	emailphone	none
smartoire.com ↗	64 match 2 shared topics	Microsoft & Anthropic Partner \| Azure, D365 & AI Solutions \| Cloudoire Academy \| Smartoire Solutions Inc.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
simonko.dev ↗	64 match 2 shared topics	simonko.dev - a blog about cloud, kubernetes, containers and more	en	cloud-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.