mage.ai traffic, backlinks, authority, and more

Mage.ai is an AI/ML platform and open-source developer tool that enables data scientists, machine learning engineers, and software developers to build, deploy, and monitor production-ready machine learning pipelines. It is relatively well-known within the machine learning and developer communities but less recognized by the general public, attracting targeted users and growing interest with estimated daily visits in the hundreds.

Domain Authority
Authority score: 35/100
35/100

Score assigned based on the strength of the domain online

Monthly Traffic+3.9%
5.1K

Estimated monthly organic traffic from search engines

Backlinks
18.4K

Total number of links from other websites pointing to this domain

Traffic Analysis

+3.9% vs last month

The site's traffic has grown by 23% year-over-year with over 5,126 monthly visits driven primarily by developer-focused search intent around package installation and dependency management, platform/brand discovery, and documentation and integration queries. Traffic is concentrated in North America (56.8%), followed by Asia-Pacific (22.7%) and Europe (15.4%), reflecting strong demand in its core U.S. market with significant developer adoption in India and a solid enterprise/tech presence across the UK and broader European tech hubs.

Domain Preview & WHOIS Information

Domain Preview
AI-native data platform for the Enterprise – Mage AI
AI-native data platform for the Enterprise – Mage AI

AI-native data platform for the Enterprise – Mage AI

Build and run AI-powered data workflows that automate pipelines, orchestrate models, and scale analytics — all in one unified platform.

WHOIS
Namemage.ai
Registrardynadot llc
Registered OnJul 7, 2020
Expires OnJul 7, 2030
Updated OnDec 31, 2025
Name Serversns-144.awsdns-18.com
DNSSEC

The domain mage.ai was registered on July 7, 2020, through dynadot llc and uses AWS for DNS and security. At 5 years old, the domain has a proven track record and accumulated authority, offering stronger trust signals and SEO benefits compared with newer sites and indicating a more mature online presence that can support higher domain authority and user confidence.

Domain Authority & SEO Metrics

Authority Metrics
35
Domain Authority
50
Page Authority
35
Trust Score

mage.ai shows a profile with moderate authority and moderate trust coupled with good page-level strength, indicating it can rank individual pages well but overall site credibility and link equity lag behind stronger competitors—practically, this means targeted content and technical optimizations can yield gains, but sustained investment in a high-quality backlink profile and trust signals is needed to move into a strong competitive positioning.

Keyword Rankings

Top Ranking Keywords

mage ai
1.3K/moSearch Volume
#1Position
pip install -r requirements.txt documentation
590/moSearch Volume
#2Position
$ pip install -r requirements.txt
480/moSearch Volume
#2Position
pip install -r req.txt
480/moSearch Volume
#2Position
ai mage
170/moSearch Volume
#1Position

The domain mage.ai presents a concentrated keyword portfolio that blends branded terms and developer-focused installation queries, spanning search volumes from 170 to 1,300 and highlighting long-tail technical intent with generally low CPCs and competition. The top keyword 'mage ai' attracts daily searches in the dozens with a $4 CPC, indicating solid brand recognition. The other four keywords are dominated by installation/documentation queries—"pip install -r requirements.txt documentation" (590, competition 0%), "$ pip install -r requirements.txt" (480, competition 0%), "pip install -r req.txt" (480, competition 1%)—which show very low competition among developer audiences, while "ai mage" (170, competition 36%) sits at moderate competition and suggests some broader AI market overlap. The domain's strengths lie in a healthy keyword portfolio with clear developer intent, low competition pockets, and focused brand visibility that support scalable SEO growth.

Technology Stack

Frontend
React
Next.js
jQuery
Styled Components
Infrastructure
Amazon
Cloudflare
Amazon CloudFront
Vercel
Analytics & Tools
Google Analytics
Google Tag Manager
Sentry
FullStory
Security
LetsEncrypt
Cloudflare SSL
HSTS
reCAPTCHA

mage.ai is built on a modern frontend stack that combines React with Next.js for improved rendering strategies and developer ergonomics, alongside legacy utilities like jQuery and component-driven styling via Styled Components—together these choices enable fast interactive UIs, component reusability, and developer-friendly CSS encapsulation that benefit both performance and developer experience. The backend and delivery layer leverages Amazon EC2 for core hosting, with Cloudflare and Amazon CloudFront providing global caching and edge delivery while Vercel is used for serverless deployments, creating a mix that delivers reliability, scalability, and global distribution through CDN, edge computing, and serverless functions where appropriate.

On the security and DNS layer the stack uses LetsEncrypt and Cloudflare SSL with HSTS and reCAPTCHA, combining certificate management, enforced HTTPS, bot mitigation and Cloudflare’s DNS/DDoS protections to ensure encryption, DDoS protection, and fast load times across regions. Observability and product analytics are provided by Google Analytics, Google Tag Manager, Sentry, and FullStory, which together offer conversion and behavioral insights, tag flexibility, error monitoring, and session replay to improve the development workflow and user experience while styling choices like Styled Components deliver a modern CSS solution for maintainable presentation.

Competitive Landscape

mage.ai competes in the machine learning platform and MLOps space against established players like Domino Data Lab, Databricks, Google Cloud AI, and newer alternatives such as mage.space, labelf.ai, and requirements-txt.readthedocs.io. Compared with those incumbents, mage.ai shows a mid-tier market presence with moderate organic traffic (5,126) relative to peers like mage.space (16,013), similar backlink footprints and Domain Authority, and has carved a niche by emphasizing developer-friendly workflows and rapid prototyping which drives concentrated, technical traffic rather than broad enterprise adoption.

The domain’s Domain Authority score of 35 places mage.ai on par with immediate competitors in the MLOps/ML platforms industry, signaling comparable backlink profiles but lower overall visibility than larger incumbents with higher traffic and brand presence. By targeting developer and data-team users with developer-first tooling, open-source-friendly integrations, and a focus on rapid model-to-production workflows, mage.ai has generated strong word-of-mouth growth and incremental organic visibility that supports steady market penetration despite competing against better-known enterprise platforms.

FAQ on mage.ai

Everything you need to know about mage.ai.

What is mage.ai's primary business model?

Mage.ai operates an open-core business model: it provides an open-source platform for building and orchestrating data and ML pipelines while monetizing hosted cloud services, premium enterprise features, and commercial support for organizations that need managed deployments, access controls, SLAs, and advanced integrations.

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

Challenger. Mage.ai is recognized as an innovative and growing challenger in the data engineering and MLOps space, competing with larger incumbents by emphasizing developer ergonomics, open-source adoption, and a hosted/enterprise offering rather than being a dominant market leader.

What makes mage.ai unique compared to its competitors?

Mage.ai differentiates itself through a developer-friendly, notebook-integrated approach to pipeline development, modular "blocks" for building data/ML workflows, an emphasis on open-source extensibility, and a visual UI that blends low-code orchestration with programmatic control, making it attractive to teams that want flexible collaboration between engineers and data scientists.

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

Recent public signals indicate a strategic focus on expanding hosted SaaS capabilities and enterprise-grade features—improving integrations with cloud storage and ML tooling, enhancing the UI/UX for pipeline development, and broadening commercial support and security/management features for teams. If specific product release details are not publicly available, this general direction reflects common trends among open-core MLOps platforms moving toward managed services and tighter ecosystem integrations.