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Advanced Analytics, Machine Learning, Artificial Intelligence – Sanjeev Kumar, Ross School of Business, University of Michigan — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
a1ai.io ↗	70 match 1 shared topics	Home - Artificial Intelligence & Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
stutord.com ↗	70 match 1 shared topics	Blockchain \| Machine Learning \| Artificial Intelligence - Stutord	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai-ml.info ↗	69 match 1 shared topics	What is Artificial Intelligence (AI) and its relation to Machine Learning (ML)	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aibusinesslab.org ↗	68 match 1 shared topics	Artificial Intelligence Business Lab	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
icmres.com ↗	68 match 1 shared topics	International Conference On Artificial Intelligence, Machine Learning and Technology (ICMRES-2026)	en	artificial-intelligence	robotsllmsaihumans	email phone	none
yourventureai.com ↗	68 match 1 shared topics	Your Venture AI – Artificial Intelligence Focused On Your Business	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
palmai.io ↗	68 match 1 shared topics	Palm Artificial Intelligence (AI) \| Palm AI \| AI for Business	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
ai-aesthetics.org ↗	68 match 1 shared topics	AIA – Artificial Intelligence in Aesthetics	en	artificial-intelligence Weebly	robotsllmsaihumans	email phone	none
adamyeung.org ↗	67 match 1 shared topics	ThinkAI — Learn Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aiagora.info ↗	67 match 1 shared topics	AI AGORA – Artificial Intelligence Agora	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aaaipress.org ↗	67 match 1 shared topics	Association for the Advancement of Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aaaiconferences.org ↗	67 match 1 shared topics	Association for the Advancement of Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aiconferences.org ↗	67 match 1 shared topics	Association for the Advancement of Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai-assetreviver.cfd ↗	67 match 1 shared topics	Artificial Intelligence Asset Reviver	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
absolutedevelopment.com ↗	67 match 1 shared topics	Absolute Development - Custom Technology Solutions \| Artificial Intelligence (AI) & Machine Learning (ML) \| Systems Integrations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ballistixai.com ↗	67 match 1 shared topics	Ballistix AI - Transforming Business with Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
studyofai.com ↗	67 match 1 shared topics	Study of Artificial Intelligence (AI) - Study of AI	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
aaai.org ↗	67 match 1 shared topics	The Association for the Advancement of Artificial Intelligence	en	artificial-intelligence WordPress	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.