John Iwuozor

Content Lead

DualEntry

John Iwuozor is a content marketer and strategist who works with high-growth B2B SaaS and media companies. He currently works as Content Lead at DualEntry.

Bio Overview

Over the past five years, he has helped prominent brands and publications including Forbes Advisor, Ramp and Rippling build and scale their content programs. He has a background in mathematics and data science and holds an MSc in Mathematics and Data Science from the University of Stirling. He enjoys experimenting at the intersection of AI and SEO, conducting research, and finding practical ways to improve search visibility and drive growth.

John has also spoken at industry events including BrightonSEO, where he has shared his research and ideas around search and AI. Outside of work, he is an avid chess player and enjoys going down random rabbit holes, whether that means learning about a new subject or building something just because it seems cool.

Areas of Expertise

  • SEO, GEO & AI Search
  • Cybersecurity & Data Governance
  • Enterprise AI
  • Data & Analytics
  • Content strategy & marketing

Credentials & Publications

MSc in Mathematics and Data Science, University of Stirling

Connect

LinkedIn: https://www.linkedin.com/in/john-iwuozor/

Articles by the Author

The Cost of Outdated CMS Workflows (and How to Modernize Them)
Watch out for these indicators that your CMS isn’t working how you expect, and may even be holding you back.
Agentic AI vs. Traditional Automation: What Changes in CMS?
Businesses are moving toward agentic AI systems that learn, adapt and deliver results continuously. Are you ready to evolve your CMS from a publishing tool into a growth engine?
Ethical and Operational Risks of Agentic AI in CMS
While Agentic AI in CMS has great potential to transform your workflows, it comes with risks too, so a thoughtful, proactive approach is best.
How Retrieval Improves Accuracy and Reduces Hallucination in AI
Here’s how retrieval-based grounding works to reduce hallucinations and generate answers with better context.
RAG vs. Fine-Tuning: Choosing the Right AI Strategy for Your Data
Learn the difference between fine-tuning a model vs. using RAG and how to evaluate which is right for your use case.
A Simple Step-by-Step Guide to Building a Company Knowledge Assistant with Agentic RAG
Agentic RAG can help you build a company knowledge assistant so you can use actual data from your company. Here’s a practical guide for how to get started.
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