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Batt Consulting Group LLC | Microsoft 365 & Identity Migrations — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sandrasaluti.com ↗	72 match 2 shared topics	Sandra Saluti – Identity Consultant · Microsoft Entra ID Governance	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
apporetum.com.au ↗	69 match 2 shared topics	Apporetum \| Identity Governance and Administration (IGA) for Microsoft Entra	AU en	information-and-network-security	robots llmsaihumans	emailphone	none
johndorion.com ↗	69 match 2 shared topics	John Dorion - Consulting Engineer & Cybersecurity Enthusiast	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
digitalcrest.co.uk ↗	69 match 2 shared topics	Digital Crest Consulting \| Cyber Security, GRC and Cloud	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
useaugmentt.com ↗	68 match 2 shared topics	Microsoft 365 Security & Management for MSPs \| Multi-Tenant Platform	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
avinteli.com ↗	68 match 2 shared topics	Cloud Security Consulting & AWS Architecture Services \| Avinteli	US~ en	information-and-network-security	robots llmsaihumans	emailphone	none
samikroy.com ↗	68 match 2 shared topics	Samik Roy - Cloud Security Advocate & Microsoft MVP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
castelluzzi.com ↗	67 match 2 shared topics	Nick Castelluzzi \| Cloud Identity & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lustresconsulting.com ↗	67 match 2 shared topics	Lustres Consulting \| Cloud Infrastructure & Security Consulting \| Canada & UK	CA~ en	information-and-network-security	robotsllmsaihumans	email phone	none
avinyai.com ↗	67 match 2 shared topics	Avinyai: Secure Your Cloud Identity with Okta Solutions \| Avinyai	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accessidentified.com ↗	67 match 2 shared topics	Access Identified Ltd - IAM & AWS Cloud Consultancy	en	cloud-computing	robotsllmsaihumans	emailphone	none
haydrive.com ↗	66 match 2 shared topics	HayDrive – Microsoft 365 and Security	en	cloud-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joshuaheffner.com ↗	66 match 2 shared topics	Josh Heffner — Cloud Security Architect \| Denver, CO	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
acmebot.dev ↗	66 match 2 shared topics	Acmebot \| Automated TLS certificates for Microsoft Azure	en	cloud-computing	robotsllmsaihumans	emailphone	none
swissexpertgroup.com ↗	66 match 2 shared topics	Swiss Expert Group \| Leading Cybersecurity & Cloud Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
365azureguy.com ↗	66 match 2 shared topics	Justin Burton — 365 Azure Guy	en	cloud-computing	robotsllmsaihumans	emailphone	none
3rdsphere.com ↗	66 match 2 shared topics	3rd Sphere Systems, Inc. - M365 & Azure Security Experts - Berlin	en	cloud-computing	robotsllmsaihumans	emailphone	none
syedqadri.com ↗	65 match 2 shared topics	Syed Mohiuddin Qadri \| Senior Solutions Architect — Cloud, Cybersecurity & Infrastructure	US~ en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8

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.