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Zero – The AI-native CMS for Astro. No integration required. — 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
minimax.me ↗	67 match 2 shared topics	MiniMax AI — Free, No Registration Required	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dollardeploy.com ↗	67 match 2 shared topics	Deploy your app to production, no DevOps required \| DollarDeploy	en	artificial-intelligence	robots llmsaihumans	emailphone	none
getbagel.com ↗	66 match 2 shared topics	Bagel AI - Your Product Decision Partner \| The Autonomous Decision Layer for AI-Native Teams	United States~ en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
getbagelai.com ↗	66 match 2 shared topics	Bagel AI - Your Product Decision Partner \| The Autonomous Decision Layer for AI-Native Teams	United States~ en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
getnexusprompt.com ↗	66 match 2 shared topics	NexusPrompt \| AI Integration Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
getkronk.com ↗	66 match 2 shared topics	Kronk CMS - AI-Native Content Management	en	artificial-intelligence	robotsllmsaihumans	emailphone	full · 20
aideepdive.org ↗	66 match 2 shared topics	aideepdive – AI-native conversational media infrastructure for WordPress.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
adeptai.online ↗	66 match 2 shared topics	Smart Integration Assistant	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
agentsindex.ai ↗	66 match 2 shared topics	AgentsIndex, the index of AI-native tools.	en	technology-and-computing	robots llmsaihumans	emailphone	full · 14
datainjector.com ↗	66 match 2 shared topics	DataInjector \| Streamlining Data Integration for Your Business	en	technology-and-computing WordPress WooCommerce	robots llmsaihumans	emailphone	none
datashuk.ai ↗	66 match 2 shared topics	DataShuk - Seamless Integration with AI-Powered Marketplaces	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
beforemerge.com ↗	65 match 2 shared topics	BeforeMerge — AI-Native Code Review Rules \| BeforeMerge	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
solutionarchitecture.ai ↗	65 match 2 shared topics	AI-Native Architecture	en	artificial-intelligence Ghost	robotsllmsaihumans	emailphone	none
tenxdeveloper.com ↗	65 match 2 shared topics	10x Dev \| TypeScript to AI Integration Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentdrivendevelopment.net ↗	65 match 2 shared topics	Agent Driven Development \| AI-Native Engineering for CxOs	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
agentdrivendevelopment.com ↗	65 match 2 shared topics	Agent Driven Development \| AI-Native Engineering for CxOs	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
releasedog.app ↗	65 match 2 shared topics	Releasedog — AI-powered changelogs and release notes for product teams	en	technology-and-computing	robots llmsaihumans	emailphone	none
releasedog.com ↗	65 match 2 shared topics	Releasedog — AI-powered changelogs and release notes for product teams	en	technology-and-computing	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.