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KMUNOZ | International Business Development & Capital Acquisition — 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 Mergers And Acquisitions →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cbinsights.com ↗	55 match shared topic	CB Insights — Predictive Intelligence on Private Companies	en	management-consulting-industry Weebly	robotsllmsaihumans	emailphone	none
smash.vc ↗	40 match shared topic	A Capital Partner for SMB Acquisitions - Smash.vc	en	mergers-and-acquisitions WordPress WooCommerce	robots llmsaihumans	emailphone	none
ogscapital.com ↗	40 match shared topic	Business Plan Consultant \| OGScapital – Expert Business Planning Services	en	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	partial · 5
glacom.uk ↗	40 match shared topic	Glacom, business development consultants	United Kingdom en	management-consulting-industry	robotsllmsaihumans	emailphone	none
mklbiz.com ↗	40 match shared topic	Business Opportunities, Business Development, Exit Planning	en	mergers-and-acquisitions	robotsllmsaihumans	emailphone	none
vikingmergers.com ↗	34 match shared topic	Mergers & Acquisitions Firm \| Viking M&A	United States~ en	mergers-and-acquisitions WordPress	robots llmsaihumans	emailphone	none
ctacquisitions.com ↗	34 match shared topic	Sell Your Business to the Right Buyer \| CT Strategic Partners	United States~ en	mergers-and-acquisitions WordPress	robotsllmsaihumans	emailphone	full · 17
kylegoldie.com ↗	34 match shared topic	Business Coach And Award-Winning Consultant \| Kyle Goldie	en	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
sourcecodeals.com ↗	34 match shared topic	SourceCo: Buy-Side Acquisition Search & Off-Market M&A Deal Sourcing	en	mergers-and-acquisitions	robotsllmsaihumans	emailphone	partial · 8
axial.net ↗	34 match shared topic	M&A and Capital Raising Platform for the Middle Market \| Axial	en	mergers-and-acquisitions WordPress	robotsllmsaihumans	emailphone	none
zaidwoodcapital.com ↗	34 match shared topic	Home \| Zaidwood Capital	en	mergers-and-acquisitions	robotsllmsaihumans	emailphone	none
rhonni.com ↗	34 match shared topic	Rhonni \| Entrepreneur, Consultant, and Advisor To Renfaire Businesses \|	en	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lamont.capital ↗	34 match shared topic	LaMont Capital	en	mergers-and-acquisitions	robotsllmsaihumans	emailphone	partial · 8
propeller.com ↗	34 match shared topic	Business Management Consulting to Accelerate Change \| Propeller	en	management-consulting-industry	robotsllmsaihumans	emailphone	none
levioconsulting.com ↗	34 match shared topic	Levio Business and Technology	en	management-consulting-industry	robotsllmsaihumans	emailphone	none
tariffbuyouts.com ↗	34 match shared topic	Sell Your IEEPA Claim — Immediate Capital \| Tariff Buyouts	United States~ en	mergers-and-acquisitions	robots llmsaihumans	email phone	none
mottmac.com ↗	34 match shared topic	Mott MacDonald \| Innovative Engineering, Management & Development Solutions \| Mott MacDonald	en	management-consulting-industry	robotsllmsaihumans	emailphone	none
itweb.co.za ↗	34 match shared topic	ITWeb \| Business Technology Media Community	South Africa en	mergers-and-acquisitions	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.