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 nnamiug.com

Nnamiug alternatives & similar sites

Guilherme Mann — 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 Computer Animation →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
aidancolestemarie.work ↗	62 match 2 shared topics	Aidan Ste Marie Portolio	en	computer-animation	robotsllmsaihumans	emailphone	none
247pd.com ↗	60 match 2 shared topics	Playing with Fire	en	computer-animation WordPress	robotsllmsaihumans	emailphone	none
adameckel.art ↗	60 match 2 shared topics	Adam's Art & Design Portfolio	en	computer-animation	robotsllmsaihumans	emailphone	none
adileneramirez.art ↗	60 match 2 shared topics	Adilene Ramirez - Motion Graphics Artist	en	computer-animation Wix	robots llmsaihumans	emailphone	none
lybk.site ↗	60 match 2 shared topics	TALI.	en	computer-animation	robotsllmsaihumans	emailphone	partial · 2
marsi-animation.studio ↗	60 match 2 shared topics	Marsi Qiu \| 2D Animator · Illustrator · Digital Artist	en	computer-animation	robotsllmsaihumans	emailphone	none
megangale.net ↗	60 match 2 shared topics	megan gale kowalczyk – award winning digital multimedia designer	en	computer-animation WordPress	robotsllmsaihumans	emailphone	none
meganmcgrew.com ↗	60 match 2 shared topics	Stella Clarke – Digital creator	en	computer-animation WordPress	robotsllmsaihumans	emailphone	none
stellaclarke.com ↗	60 match 2 shared topics	Stella Clarke – Digital creator	en	computer-animation WordPress	robotsllmsaihumans	emailphone	none
stellamcgrew.com ↗	60 match 2 shared topics	Stella Clarke – Digital creator	en	computer-animation WordPress	robotsllmsaihumans	emailphone	none
crystalplourde.com ↗	60 match 2 shared topics	Crystal Plourde	en	computer-animation WordPress	robotsllmsaihumans	emailphone	none
abohashemart.net ↗	60 match 2 shared topics	AboHashemArt	en	computer-animation WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alandega.me ↗	60 match 2 shared topics	Alan Dega	en	computer-animation	robotsllmsaihumans	emailphone	none
alexisl.im ↗	60 match 2 shared topics	Alexis Lim	en	computer-animation	robotsllmsaihumans	emailphone	none
geoffreyknecht.com ↗	60 match 2 shared topics	Geoffrey Knecht – Artist / Animator / Game Designer	en	computer-animation WordPress	robotsllmsaihumans	emailphone	none
zoe-bergeron.com ↗	60 match 2 shared topics	Home - Zoe Bergeron's Portfolio	en	computer-animation	robotsllmsaihumans	emailphone	none
zombie44.com ↗	60 match 2 shared topics	Hinged - Paul Fulford’s Art \| Substack	en	computer-animation	robotsllmsaihumans	emailphone	none
bellashih.com ↗	60 match 2 shared topics	Motion - Bella Shih	en	computer-animation WordPress	robots llmsaihumans	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.