AI Website Analysis
AI Website Analysis for asepartners.co
A modern developer stack was detected. This project may have been built with AI coding tools.
Confidence
57%
Detected Builder
Next.jsCategory
AI-Coded / Framework
Quick Facts
- Load Time
- 961 ms
- JS Files
- 9
AI Summary
BetaASE Partners operates as an acquisition search engine, providing tools for sourcing, scoring, verification, and outreach for businesses. The platform is built on Next.js, a modern React framework, and benefits from the optimized hosting environment of Vercel, its creator. This combination ensures a performant and scalable user experience. The site appears to be AI-assisted, indicating that artificial intelligence tools played a role in its development, likely complementing traditional coding practices within the Next.js ecosystem.
AI-generated · may contain inaccuracies
Helpful?Why This Score?
- Next.js detected (AI-native tooling)
- No AI-generated bundle patterns detected
- No explicit AI SDKs or AI-coding signatures found
- 57% detection confidence
Website Preview
asepartners.co3 hours ago
Consider comparing
Technology & Infrastructure
6 detectedA modern, highly optimized Next.js application delivered efficiently via Vercel.
Scores Overview
Security Posture
Fair
Content & Standards
Needs Work
Trust & Compliance
Fair
On-Page Signals
Fair
What Do You Want To Do Next?
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Frequently Asked Questions
Why is asepartners.co considered Dev Stack?
The score indicates some AI tools likely assisted developers with code components or optimization, rather than building the entire site.
What technologies were detected?
asepartners.co uses Next.js, hosting:Vercel, security:HSTS, security:Content Security Policy.
What does the confidence score mean?
57% confidence: This website may hide parts of its infrastructure, use custom hosting, or block detection signals.
Can a website built with Next.js be human-coded?
Yes. Next.js detection means the site uses that ai-coded / framework, not that it was necessarily built by AI. The AI Influence Score reflects additional signals — like component patterns and bundle artifacts — on top of the base builder detection.
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