Our mission

Content should earn trust, not just traffic

ContentMas was built by a team tired of watching great brands lose rankings to stale facts and outdated statistics. We're fixing that — at scale.

2,400+
Sites monitored
18M+
Pages analyzed
94%
Avg. ranking recovery rate
2023
Founded

Why we built this

In 2023, our founding team was running content operations for a fast-growing SaaS company. We had hundreds of blog posts, dozens of landing pages, and a content team working hard to publish consistently. But our organic traffic was quietly declining — and we couldn't figure out why.

After weeks of investigation, the answer was embarrassing: our most-linked articles were full of outdated statistics. A study we'd cited from 2019 had been superseded. A regulation we'd referenced had changed. A company we'd linked to had been acquired. Google's quality signals had noticed before we did.

We built a spreadsheet to track it. Then a script. Then a proper tool. ContentMas is that tool — rebuilt from scratch to work for any team, at any scale.

ContentMas team collaborating in the office

What we believe

Our values

Accuracy over volume

One accurate, well-maintained page outperforms ten stale ones. We optimize for content quality, not content quantity.

Automation that respects editors

AI should surface problems and suggest fixes — not replace editorial judgment. Every ContentMas recommendation is a starting point, not a final answer.

Built for the AI era

Search is changing. AI systems cite sources differently than search engines rank them. We help your content perform in both worlds.

Outcomes, not outputs

We measure success by ranking improvements and traffic recovery — not by the number of issues flagged or reports generated.

The people behind it

Meet the team

AR
Alex Rivera
Co-founder & CEO

Former VP of Content at two B2B SaaS companies. Spent a decade watching content decay cost companies their organic moats.

SC
Sam Chen
Co-founder & CTO

Previously built crawling infrastructure at a major search engine. Obsessed with making web-scale data analysis accessible to small teams.

JP
Jordan Patel
Head of AI

PhD in computational linguistics. Leads our fact-validation and AI rewrite models. Believes language models should make editors faster, not redundant.

ML
Morgan Lee
Head of Product

10 years in content marketing before moving to product. Ensures ContentMas solves real problems for real content teams.

Ready to stop content decay?

Join thousands of content teams who use ContentMas to keep their sites accurate, fresh, and competitive.