similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 📇AI Crawler Database900+ AI user agents + robots.txt gen ⚖️AI Crawler ComparisonCompare two AI crawlers head-to-head 💰AI Licensing / Pay-Per-CrawlWho can charge AI crawlers — Pay-Per-Crawl 🎛️AI Robots.txt Policy BuilderGoal-based robots.txt (cite me, don't train)🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to vermandel.org

Vermandel alternatives & similar sites

Gauthier Vermandel | Researcher / Associate Professor — 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 Economy →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
tsoutsoura.com ↗	72 match 1 shared topics	Margarita Tsoutsoura \| Associate Professor of Finance	en	economy	robotsllmsaihumans	emailphone	none
johnchungyenchu.org ↗	71 match 1 shared topics	John C. Chu	en	economy	robotsllmsaihumans	emailphone	none
jonathanfschulz.com ↗	70 match 1 shared topics	Jonathan F. Schulz \| Associate Professor of Economics at George Mason University	United States~ en	economy	robotsllmsaihumans	emailphone	none
karstenkohler.com ↗	69 match 1 shared topics	Karsten Kohler – Associate Professor in Economics \| Leeds University	en	economy WordPress WooCommerce	robotsllmsaihumans	emailphone	none
anandmurugesan.website ↗	67 match 1 shared topics	Anand Murugesan \| research, teaching & other updates here.	en	economy WordPress	robotsllmsaihumans	emailphone	none
gustavotorrens.com ↗	67 match 1 shared topics	Gustavo Torrens \| Associate Professor • Department of Economics • IU Bloomington	en	economy WordPress	robotsllmsaihumans	emailphone	none
ronaldratti.com ↗	66 match 1 shared topics	Professor Ronald A. Ratti - Home	en	economy Weebly	robotsllmsaihumans	emailphone	none
mdamirhossen.com ↗	66 match 1 shared topics	MD. Amir Hossen \| Economist & Researcher	en	economy	robotsllmsaihumans	emailphone	none
johannes-schmieder.com ↗	66 match 1 shared topics	Johannes Schmieder \| Professor of Economics	en	economy	robotsllmsaihumans	emailphone	none
jondentonschneider.com ↗	66 match 1 shared topics	Jon Denton-Schneider - Assistant Professor of Economics at Clark University	en	economy	robotsllmsaihumans	emailphone	none
kadac.net ↗	66 match 1 shared topics	Kamran Afshar Associates Inc.	en	economy	robotsllmsaihumans	emailphone	none
3gence.org ↗	66 match 1 shared topics	3gence Research Group	en	economy	robotsllmsaihumans	emailphone	none
jcspil.io ↗	66 match 1 shared topics	Jean-Christophe Spiliotis-Saquet	en	economy	robotsllmsaihumans	emailphone	none
acccimserc.com ↗	66 match 1 shared topics	Socio Economic Research Centre Malaysia \| SERC Malaysia	en	economy Joomla	robotsllmsaihumans	emailphone	none
josebamartinez.me ↗	66 match 1 shared topics	Joseba Martinez - Assistant Professor of Economics	en	economy	robotsllmsaihumans	emailphone	none
berl.center ↗	65 match 1 shared topics	BERL \| Bitcoin Economics Research Lab	en	economy	robotsllmsaihumans	emailphone	partial · 8
jdonna.org ↗	65 match 1 shared topics	Javier D. Donna's website	en	economy	robotsllmsaihumans	emailphone	none
caixabankresearch.com ↗	65 match 1 shared topics	CaixaBank Research	en	economy Drupal	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.