similar sites

‹ Profile AI Report Tools

Sites similar to patilv.com

Vivek H. Patil, Ph.D. | Professor of Marketing | Gonzaga University | Author, Margin of Error · ranked by shared content topics & relevance

andrewnsmith.me

andrew n smith | Associate Professor of Marketing | Sawyer School of Business, Suffolk University

2 shared topicsmarketing-and-advertising

nariyoonresearch.com

Nari Yoon | Assistant Professor of Marketing

2 shared topicsmarketing-and-advertising

Internet Marketing | A Full Sail University Portfolio

2 shared topicsmarketing-and-advertising

boulderdigitalmarketing.com

Digital Marketing

2 shared topicsmarketing-and-advertising

Digital Education Marketing - Digital Education Marketing

2 shared topicsmarketing-and-advertising

Jennifer Brannon Barhorst Ph.D.

2 shared topicsmarketing-and-advertising

Bowling Green State University

2 shared topicsmarketing-and-advertising

Home - St. John Fisher College - American Marketing Assocation

2 shared topicsmarketing-and-advertising

Arizona Marketing Educators

2 shared topicsmarketing-and-advertising

affiliatemarketingleaders.com

Affiliate Marketing Leaders

2 shared topicsmarketing-and-advertising

ihsantjahyono.com

2 shared topicsmarketing-and-advertising

2 shared topicsmarketing-and-advertising

brandconectors.com

BRAND CONECTORS – From Basics to Brilliance

2 shared topicsmarketing-and-advertising

2 shared topicsmarketing-and-advertising

2 shared topicsmarketing-and-advertising

2 shared topicsmarketing-and-advertising

Denish Shah - Marketing Professor and Researcher

1 shared topicsmarketing-and-advertising

chiara-coletta.com

Chiara Coletta | Marketing Analyst & Data Professional

1 shared topicsmarketing-and-advertising

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.