cerebrium.ai traffic, backlinks, authority, and more

Cerebrium.ai is an AI-driven cognitive computing company offering brain-inspired machine learning models and analytics for healthcare research, neuroscience labs, and enterprise R&D teams. The site has modest recognition within specialist communities and potential customers but remains relatively unknown to the general public, with estimated daily visits in the dozens.

Domain Authority
Authority score: 29/100
29/100

Score assigned based on the strength of the domain online

Monthly Traffic+0.7%
1.1K

Estimated monthly organic traffic from search engines

Backlinks
14.5K

Total number of links from other websites pointing to this domain

Traffic Analysis

+0.7% vs last month

The site's traffic has grown by 113% year-over-year with over 1,149 monthly visits driven primarily by interest in conversational AI demos, automated commentary and sports-commentary generation, GPU/hardware pricing research, chat interface tooling, and deployment workflows for language models. Traffic is overwhelmingly concentrated in North America (85.4%), followed by Europe (11.9%) and Asia-Pacific (2.5%), underscoring a strong US-market and tech-industry focus that aligns with enterprise AI adoption and developer-focused product demand.

Domain Preview & WHOIS Information

Domain Preview
Cerebrium | Real-time serverless AI infrastructure
Serverless GPU Infrastructure for Real-Time AI

Serverless GPU Infrastructure for Real-Time AI

Deploy voice agents, video models, and LLMs on serverless GPUs with sub-second cold starts. Pay-per-second pricing. No Kubernetes.

WHOIS
Namecerebrium.ai
Registrargodaddy.com, llc
Registered OnJun 11, 2021
Expires OnJun 11, 2027
Updated OnApr 2, 2025
Name Serversns-668.awsdns-19.net
DNSSEC

The domain cerebrium.ai was registered on June 11, 2021, through godaddy.com, llc and uses AWS for DNS and security. At 4 years old, the domain is in a mid-age phase indicating a developing presence and growing authority, offering stronger trust signals and SEO benefits than a new site while providing a solid foundation for further accumulated authority and an increasingly mature online presence.

Domain Authority & SEO Metrics

Authority Metrics
29
Domain Authority
46
Page Authority
29
Trust Score

Cerebrium shows a moderate authority on key pages but overall needs improvement in domain-level strength and low trust, which indicates limited organic reach, vulnerability to stronger competitors, and a clear opportunity to improve via higher-quality backlinks, technical SEO, and trust signals to compete more effectively.

Keyword Rankings

Top Ranking Keywords

celebrium
140/moSearch Volume
#1Position
ai commentary
50/moSearch Volume
#1Position
ai commentator
70/moSearch Volume
#2Position
cerebrum ai
30/moSearch Volume
#1Position

The domain cerebrium.ai presents a focused keyword portfolio centered on AI commentary and brand variants, with rankings ranging from position 1 to 2 across terms and a mix of low-competition informational queries and one higher-CPC branded misspelling that suggests targeted commercial interest. The top keyword 'celebrium' attracts daily searches in the dozens with a $0 CPC, indicating solid brand recognition. The other keywords — **"ai commentary" (pos 1, vol 50, CPC $1.08, competition 23%), **"ai commentator" (pos 2, vol 70, CPC $0, competition 0%), and **"cerebrum ai" (pos 1, vol 30, CPC $7.43, competition 9%) — are low-competition targets that reveal strong appeal to an informational and niche professional audience with limited paid competition but a clear opportunity to monetize the branded variant. The domain's strengths include strong organic visibility, a healthy keyword portfolio, and competitive SEO performance.

Technology Stack

Frontend
React
Next.js
jQuery
Styled Components
Infrastructure
Amazon
Amazon S3 CDN
CloudFront
Vercel
Analytics & Tools
Google Analytics
Google Analytics 4
Segment
Hotjar
Security
LetsEncrypt
HSTS
DMARC
SSL by Default

cerebrium.ai is built on a modern frontend stack using React with Next.js for a performant React-driven experience, alongside legacy utilities like jQuery and styling via Styled Components, which together improve developer velocity and enable server-side rendering patterns and component-scoped styling for better runtime performance and developer experience. The backend and delivery layer combine Amazon EC2 hosting with Amazon S3 CDN for durable asset storage and CloudFront for low-latency distribution, while Vercel is used for serverless/edge deployments and preview hosting, providing a mix of reliability, scalability, and global distribution for both dynamic and static content.

The security and DNS layer relies on LetsEncrypt certificates, enforced HSTS, DMARC for email protection, and SSL by Default redirects to ensure encrypted connections, DNS integrity, and contribute to DDoS protection and fast load times across regions through secure CDN delivery. Observability and product analytics are handled with Google Analytics / Google Analytics 4, Segment, and Hotjar, which together enhance monitoring, user behavior insight, and the development feedback loop while the frontend styling approach (Styled Components) supplies modern CSS patterns that streamline maintenance and runtime styling.

Competitive Landscape

cerebrium.ai competes in the AI-powered knowledge management and personalized learning space against established players like Notion, Obsidian, and Roam Research, and newer alternatives such as arun.blog, maxitech.com, sparki.io, and cerebrumai.io. Compared to more established players, cerebrium.ai shows a relatively modest market presence by industry incumbents' standards but outperforms its direct listed peers on traffic (1,149 organic visits versus single- or triple-digit levels), indicating a niche growth trajectory driven by a focused feature set rather than broad brand recognition.

The domain's Domain Authority score of 29 places it on par with the immediate competitive set in the AI knowledge/learning industry but below major incumbents that typically have higher DA and broader backlink profiles. By targeting users seeking personalized AI-driven knowledge synthesis and offering low-friction onboarding and semantic search capabilities, cerebrium.ai has generated strong organic visibility and word-of-mouth growth, translating into better traffic-driven market penetration relative to its listed peers despite equivalent DA and backlink counts.

FAQ on cerebrium.ai

Everything you need to know about cerebrium.ai.

What is cerebrium.ai's primary business model?

Based on publicly available information, cerebrium.ai operates as an AI product and services provider, offering software solutions and platform capabilities that help organizations deploy and integrate machine learning models. Its business model is primarily SaaS- and subscription-driven, often supplemented by professional services or custom deployments for enterprise customers.

Is cerebrium.ai considered a market leader, a challenger, or a niche player?

cerebrium.ai is best categorized as a niche player. It serves specific use cases and customer segments within the broader AI and ML market rather than occupying the broad, mainstream leadership position held by large cloud and AI incumbents.

What makes cerebrium.ai unique compared to its competitors?

cerebrium.ai differentiates itself through focused domain expertise and tailored solutions aimed at particular industries or workflows, emphasizing integration and practical deployment over general-purpose tooling. Public information also highlights attention to model explainability, customization, and enterprise-friendly deployment options as distinguishing features.

What are the most recent major updates or strategic shifts seen on cerebrium.ai?

If specific recent announcements are not publicly cited, cerebrium.ai appears to be following common industry trends such as productizing model deployment, expanding enterprise integrations, and strengthening data privacy and compliance capabilities. The company’s strategic direction seems oriented toward delivering turnkey AI solutions, partnering with systems integrators, and enhancing tools for operationalizing machine learning at scale.